Which universities mention ChatGPT or AI in coursework?

UNSW uses a Levels of AI Assistance framework with six categories for assessments: No Assistance, Simple Editing Assistance, Planning or Design Assistance, Assistance with Attribution, Generative AI Software-based Assessments, and Not Applicable.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UNSW defines six high-level categories for permitted AI use in assessments: No Assistance, Simple Editing Assistance, Planning/Design Assistance, Assistance with Attribution, Generative AI Software-based Assessments, and Not Applicable.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Under UNSW's 'No Assistance' level, students are not permitted to use any generative AI tools, software, or service to search for or generate information or answers.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

ANU approved six institutional AI principles via Academic Board in June 2023, covering excellence/integrity, research engagement, clear guidance, AI literacy, access/privacy/security, and collaborative policy development.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Submitting AI-generated content as one's own work constitutes a breach of ANU's academic integrity rules.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

ANU academic staff are not permitted to upload student data or academic work to generative AI platforms.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Cornell's committee report does not recommend the use of generative AI for summative evaluation or grading of student work, stating that evaluation and grading is among the most important tasks entrusted to faculty.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Cornell's committee report recommends three policy approaches for generative AI use: prohibit GAI where it interferes with foundational learning, allow with attribution where it supports higher-level thinking, and encourage use where it enables exploration and creative thinking.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Cornell has established seven core principles for generative AI in education: integrity of the faculty-student relation, commitment to experimentation and evidence, centrality of faculty judgment, responsiveness to student needs, recognition of both AI goods and harms, respect for institutional and disciplinary heterogeneity, and renewal of Cornell's core mission and values.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Students may only use GenAI for assessed work (assignments, exams, projects, theses) if expressly permitted by their instructor, supervisor, or program.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

All uses of GenAI at UBC must uphold academic integrity and adhere to the academic misconduct regulations in the UBC Okanagan and Vancouver calendars.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UBC says instructors or teaching assistants cannot require students to use GenAI or any other technology tool that requires sharing personal information unless the tool has undergone a UBC Privacy Impact Assessment review and been approved for use with personal information.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Auckland's Assessment of Courses Procedures state that AI use in assessment tasks may only be restricted when the task is a controlled assessment, identified as Lane 1; AI may be used without restriction in other assessment tasks, identified as Lane 2.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Auckland's Assessment of Courses Procedures require courses to use the two-lane nomenclature, including telling students which assessments align with Lane 1 or Lane 2, and require courses and programmes to implement the two-lane approach in assessment design by 2027.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Auckland's student AI advice states that AI has no agency, treats the student prompting an AI tool as the author, and says students are ultimately responsible for work submitted for assessment.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Google Gemini (Basic) is listed for Harvard University in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Microsoft Copilot (Basic) is listed for Harvard University in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

OpenAI ChatGPT Edu is listed for Harvard University in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Tokyo will not uniformly prohibit generative AI tools like ChatGPT in education; instead, it actively explores their potential while continuing dialogue on practical knowledge and long-term impact.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UTokyo states it is unacceptable to present AI-generated text as one's own when submitting class assignments.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Tokyo will not uniformly prohibit generative AI tools like ChatGPT in educational settings, per official policy signed by the Executive Vice President.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

BearGPT is listed for University of California, Berkeley in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: self hosted system.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

ChatGPT is listed for University of California, Berkeley in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UC Berkeley warns that individuals who accept click-through agreements for AI tools (such as OpenAI and ChatGPT terms of use) without delegated signature authority may face personal liability, including responsibility for compliance with terms and conditions.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Microsoft Copilot Chat (Basic) is listed for University of Pennsylvania in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Microsoft M365 Copilot (Premium) is listed for University of Pennsylvania in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Snowflake Data Analytics Platform & Consulting is listed for University of Pennsylvania in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Caltech admissions requires all Fall 2026 applicants to review its admissions guidelines on the ethical use of AI before submitting supplemental essays. Failure to comply may result in rescission of admission.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Caltech admissions prohibits applicants from copying and pasting directly from an AI generator, relying on AI-generated content to outline or draft essays, replacing their unique voice with AI-generated content, or translating essays via AI.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Caltech admissions permits applicants to use AI tools like Grammarly or Microsoft Editor for grammar and spelling review of completed essays, to generate brainstorming questions or exercises, and to research the college application process.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

ChatGPT Edu is listed for University of Oxford in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Staff setting summative assessment must: declare whether/how students can use AI; review assessment design for alignment with permitted AI use; ensure equality of baseline AI tool provision where authorised; specify declaration forms for student AI use; only identify suspected unauthorised AI use through marking or university-endorsed detection tools (none currently endorsed); and handle misconduct under usual disciplinary regulations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Students undertaking summative assessment must: complete assessment in line with the AI use declaration for each assignment; acknowledge their AI use via a formal declaration in the prescribed format; and understand that submitting work breaching AI specifications constitutes cheating and may constitute plagiarism, handled under usual disciplinary regulations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UOW's Subject Delivery Policy requires assessment information in each Subject Outline to include a statement indicating whether and how generative artificial intelligence tools can be used in the subject, including for each assessment task.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UOW's Assessment and Feedback Policy says staff are not permitted to upload student work to third-party tools, including GenAI or misconduct detection software, in the context of privacy and data policies.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UOW's Academic Integrity Policy lists misuse of generative artificial intelligence technology as academic misconduct when work is generated by an unauthorised AI tool without subject coordinator permission, or when permitted AI-generated work lacks appropriate acknowledgement.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

CUIMC provides HIPAA-compliant versions of ChatGPT Education and Microsoft Copilot as approved AI chatbot tools; workforce members must use CUIMC-issued accounts for compliance.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

CUIMC restricts sensitive data (PHI, RHI, PII) use with AI to HIPAA-compliant platforms only (ChatGPT Education, approved Microsoft Copilot, CHAT with compliant models); research use requires IRB approval.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Columbia Business School requires students to disclose to faculty their use of generative AI platforms and the manner of use in coursework.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

NUS policy states that verdicts from AI detection tools are not admissible as conclusive evidence in disciplinary processes to charge students with academic dishonesty or to penalize student work.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

NUS policy states that representing AI output as one's own work without acknowledgement is plagiarism; students who submit AI-generated work without acknowledging its use can be sanctioned for academic dishonesty.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

NUS states that instructors should be transparent about where and how they deploy AI in courses, including for generating content, virtual tutoring, and assessment feedback.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Stanford AI Playground is listed for Stanford University in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Stanford's BCA issued guidance on generative AI use, and the Office of Community Standards recommends that instructors give advance notice to students when using AI detection software.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For Stanford Graduate School of Business (GSB) MBA and MSx courses, instructors may not ban student use of AI tools for take-home coursework, including assignments and exams. Instructors may choose whether to allow AI for in-class work. For PhD and undergraduate courses, GSB follows the university-wide Generative AI Policy Guidance from the Office of Community Standards.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Bath Academic Integrity Statement requires students submitting assessment to confirm they have not presented content created by generative AI tools as though it were their own work.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Bath assessment guidance uses ABC GenAI categories: Type A means GenAI is not permitted, Type B means optional assistive use for specific defined processes, and Type C means GenAI is integral to the assessment.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Bath teaching guidance says that from 2026/27 it will move to a two-lane approach, with a closed lane where GenAI must not be used and an open lane where GenAI engagement is necessary or optional.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Korea University states that its AI guideline primarily applies to generative AI used directly in teaching and learning, while its basic principles also apply to educational use of all AI tools.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Korea University tells instructors not to enter personal information, academic records, assessment questions, or other sensitive or non-public materials into AI tools, with special caution for external AI services.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Korea University University College Distance Learning Center distributed 2026 AI utilization guidelines and a guidebook to support responsible and effective AI use in teaching and learning.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

At CUHK, improper or unauthorized use of AI tools in learning activities and assessments constitutes academic dishonesty and is subject to penalties including failure grade, suspension, or termination of studies.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

CUHK requires students to declare in each assignment that they have read and understood the University's policy on AI use, complied with course teacher instructions on AI tools, and consent to AI content detection software review.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

CUHK defines four approaches to AI use in courses: (1) prohibit all use, (2) use only with prior permission, (3) use only with explicit acknowledgement, and (4) free use without acknowledgement requirement.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Sheffield PGR guidance says postgraduate researchers' use of generative AI must align with the University's expectations for responsible research and academic integrity.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Student academic-integrity guidance tells students to check school or department guidance and module assessment criteria before using GenAI, because use may be prohibited on some modules or assessments.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Sheffield identifies Google Gemini as the institutionally supported GenAI tool for learning and teaching, and says Gemini should be used where possible to support those activities.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For assessments and assignments, students should assume generative AI use is not permitted unless the assessment or assignment explicitly states otherwise.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University states that generative AI detection tools are not currently allowable and that student work should not be uploaded to generative AI detection software.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The research AI guidance says personal, confidential, or sensitive data must not be entered into AI tools without clear justification, data minimisation, and a Data Protection Impact Assessment where applicable.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

A student using any unacknowledged content generated by artificial intelligence within a summative assessment as though it is their own work constitutes academic misconduct, unless explicitly stated otherwise in the assessment brief.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Examiners are not permitted to upload, copy, or share student work with Generative AI tools and Large Language Models. Examiners may not use tools such as ChatGPT, Perplexity, Google Bard, or Microsoft Copilot to analyse student work or provide written feedback. Examiners may use these tools to support their own writing in documenting feedback (e.g. consolidating personal notes and rephrasing comments).

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University's standard licensed GenAI tools are Microsoft 365 Copilot, Google Gemini, and Google NotebookLM. Use of other licensed GenAI tools is not prohibited but must be procured in accordance with applicable procurement policy, including completion of risk assessments such as DPIAs and/or ISRAs. The public, free versions of Copilot, Gemini and NotebookLM must not be used for University activities.

Evidence records: 2. Original evidence remains canonical on the linked university record and public JSON.

University of Bologna community members covered by the teaching and research GenAI policy are responsible for not entering third-party personal data or confidential/protected information into online GenAI systems unless an appropriate legal basis, consent, or confidentiality assurance exists.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Bologna policy treats GenAI as permitted support for teaching, learning, research and knowledge valorisation, while stating that GenAI should serve people and not replace creative and intellectual activity.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Bologna citation guidance says substantial GenAI contributions in teaching and research should be acknowledged and declared, with the statement identifying tools or models, date or period of use, modes of use, and where the tool was used.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For Common Awards summative assessments, Durham guidance says students must not use generative AI to create substantive content that they present as their own creation.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Durham Common Awards AI academic-misconduct policy is scoped to students' use of generative AI in summative assessments on Common Awards modules.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The Durham Common Awards page says its AI policy requires students to paste a completed AI declaration into summative assignments before submission.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

KTH tells students that generative AI use in graded assignments and exams should follow the course-specific information, and that the teacher's course rule takes precedence over general guidance.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

KTH staff guidance says that, according to the Faculty Council recommendation, each course at KTH must include course-specific generative AI information in Canvas and the course memo.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

KTH student guidance says course-specific generative AI information usually follows one of four approaches: no use, only specific assignments, allowed with guidelines, or free use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

NTHU announced the Guidelines for Collaboration, Co-learning, and Cultivation of Artificial Intelligence Competencies in University Education on May 1, 2023 in response to generative AI tools including ChatGPT.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

NTHU's Chinese AI collaboration and literacy guideline recommends that faculty and students use AI in educational settings transparently and responsibly, with instructors clearly stating course AI rules and both students and instructors honestly disclosing AI use when relevant.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For educator teaching, NTHU's Chinese AI guideline says the university respects instructors' course AI-tool strategies and that instructors should state student AI-use rules in syllabi, especially correct AI citation and disclosure of the use process.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

SKKU student guidance lists possible ChatGPT uses including asking questions, writing feedback, research support, idea generation, language learning, programming help, and illustration keyword generation.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

SKKU instructor guidance presents five teaching strategies for using AI such as ChatGPT: creating examples, generating explanation styles, creating low-stakes tests, using GPT for learning diagnostics, and providing distributed practice.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For students, SKKU presents ChatGPT and other AI tools as part of an ethical and productive generative-AI educational model, while asking students to use them with enthusiasm, efficiency, and critical evaluation.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Ohio State responsible-use guidance says students should use GenAI tools for coursework only with the explicit permission of each instructor, and only in the ways allowed by that instructor.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Ohio State Arts and Sciences guidance quotes the OSU Committee on Academic Misconduct policy that generative AI tools should not be used to complete course assignments unless the course instructor specifically authorizes their use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Ohio State teaching guidance says data entered in AI applications using a personal account will not be protected, and users must log in to an approved AI tool with Ohio State credentials before entering institutional data above S1.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UQ course profiles must clearly state if, when, and how AI (including Machine Translation) is allowed. Two options exist: Option 1 prohibits AI in in-person assessment; Option 2 permits AI use with mandatory referencing.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UQ has disabled the Turnitin AI writing indicator functionality for all assessments from Semester 2, 2025, citing that AI detection tools are flawed and unreliable.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

At UQ, the use of AI outputs without attribution, and contrary to any direction by teaching staff, is a form of plagiarism and constitutes academic misconduct.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

From Semester 1 2025, the default position in the University of Sydney Academic Integrity Policy has been reversed: except for supervised examinations and supervised in-semester tests, students may use automated writing tools or generative AI to complete assessments unless expressly prohibited by the unit coordinator.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Sydney's Academic Integrity Policy 2022 states it is an academic integrity breach to inappropriately generate content using artificial intelligence to complete an assessment task, and submitting an assessment generated by AI may be considered contract cheating.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Sydney has adopted a 'two-lane approach' to assessment: Lane 1 comprises secure, in-person supervised assessments to assure learning, and Lane 2 comprises open assessments that support and scaffold the use of all available and relevant tools including generative AI.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Trinity's teaching and learning guidance says private student or staff information must not be used in GenAI queries or instructions.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Trinity's GenAI assessment guidance states that submitting GenAI-generated content as a student's own work is considered plagiarism.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Trinity's College Statement treats AI and GenAI as relevant to teaching, learning, assessment and research while identifying risks including academic integrity, ethics and privacy.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Universität Hamburg's central orientation framework, status 24 November 2025, sets a university-level framework for using generative AI in teaching and study and is directed at faculties, departments, and subjects for more specific recommendations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The UHH orientation framework says personal data must not be used in generative AI, including UHHGPT, while German supervisory authorities are still examining the lawfulness of personal-data processing in the underlying ChatGPT model.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The public UHHGPT page says UHHGPT uses an institutional access to OpenAI's ChatGPT API; prompts are sent to the ChatGPT API, login or other usage data are not transferred to ChatGPT or OpenAI, and prompts are not stored.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UCR's Provost guidelines state that generative AI tools that have not passed a campus security review may be used with public data only; for other data classifications, UCR points to secure tools including Google Gemini and Microsoft Copilot.

Evidence records: 2. Original evidence remains canonical on the linked university record and public JSON.

UCR's Provost generative-AI guidelines say instructional uses of generative AI by instructors or students should aim to improve student learning and align with UCR's instructional mission.

Evidence records: 2. Original evidence remains canonical on the linked university record and public JSON.

UCR ITS lists UCR-supported AI tools by role and allowed data level, including Gemini, NotebookLM, Google AI Studio, Microsoft 365 Copilot, Vertex AI, Zoom AI Companion, The Grove, and a ChatGPT EDU offering that the page says is not currently available.

Evidence records: 2. Original evidence remains canonical on the linked university record and public JSON.

UC San Diego's Academic Integrity Policy says students may not let academic work or academic credit be completed for them by another human or by machine/artificial intelligence, and may not use unauthorized aids including artificial intelligence in coursework or assessments.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UC San Diego Academic Integrity Office student guidance says that if an instructor has not said a student can use GenAI for a class or assessment, the student cannot use it; silence does not equal permission.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UC San Diego Academic Integrity Office guidance says students authorized to use a GenAI tool should use it only in the way authorized for that assignment, should not assume authorization extends to other assignments or courses, and are advised to save history and acknowledge use to the professor.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UCSB's AI technical and security guidance calls for assessing AI third-party applications, consulting the Office of Information Security on AI use cases and implementations, and contacting the Chief Information Security Officer's office for P3/P4 data use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UCSB Student Conduct's academic-integrity FAQ says use of artificial-intelligence tools on assignments is at the instructor of record's discretion, and students should check the syllabus and discuss acceptable use with the instructor.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UCSB Information Technology guidance says ChatGPT should be treated as potentially unprotected for personal, confidential, or otherwise sensitive information and should not be used with sensitive or confidential information.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Regulation 32 states that assessed student work should not contain content produced by another person, website, software, or AI tool except where AI use is explicitly permitted.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Glasgow IT guidance identifies Microsoft Copilot Chat as the only AI service approved for use with University data and says users must be logged in with UofG credentials for approved use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Regulation 32 says use of websites or generative AI software that generates answers or references is prohibited, while some Schools may allow AI tools for specific purposes and any AI use must be referenced.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Kent's Academic Integrity and Misconduct policy defines unauthorised AI use as using generative AI beyond the scope permitted for a specific assessment, or failing to acknowledge permitted use appropriately.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Kent's public AI data-privacy guidance tells users not to enter personal information, confidential information, sensitive data, or other people's work into AI tools, and specifically says personal or sensitive data should never be put into ChatGPT Edu.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Kent's AI principles say academic judgement about student work remains with academic staff, and AI will not be used to make marking or academic-outcome decisions unless explicitly authorised, clearly communicated, pedagogically justified, and subject to human oversight.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UMKC tells instructors not to upload or copy and paste student work into generative AI products for assessment because doing so may violate FERPA.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UMKC does not recommend using AI detection tools as the single piece of evidence to support an academic integrity violation.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UMKC recommends that instructors include a policy in all syllabi about the use and misuse of generative AI tools such as ChatGPT.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Nottingham Quality Manual includes unpermitted generative-AI-generated or AI-improved assessment work within false authorship.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Nottingham student guidance says AI use for assessed work is assessment-specific: module or assessment information should say whether AI use is essential, optional, or prohibited, and students should not assume permission.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For study support outside assessments, University of Nottingham guidance recommends Microsoft Copilot with a Nottingham login and says logged-in Copilot will not record prompts, inputs, or uploads as training data.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UVM's Code of Academic Integrity says course expectations may vary by instructor and students must understand expectations for each assignment and course.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UVM's approved AI tools page lists general AI tools such as ChatGPT, Claude, and Gemini as public-information-only unless another use case goes through Contract Review.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UVM's faculty AI guidance says there is not a mandated one-size-fits-all classroom AI approach and tells faculty to clearly communicate how their AI stance shapes course policies and assignments.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Uppsala University's central generative AI guidelines say that any restriction on generative AI use in teaching or assessment, and any requirement to report AI use, must be clearly stated in written information; restrictions must be justifiable by learning outcomes, the nature of the task, or pedagogical considerations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

When students are expected to use generative AI in teaching or assessment, Uppsala University's central guidelines say the course coordinator or examiner must be able to ensure the tools are provided at no cost to the student; if doctoral students are expected to use generative AI, the principal supervisor has responsibility for ensuring suitable tools are available at no cost.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Uppsala University's central guidelines state that students who plan to use generative AI in connection with teaching or assessment are responsible for keeping informed about both central guidelines and any applicable local guidelines.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Yale academic integrity guidance treats inserting AI-generated text into an assignment without proper attribution as an academic integrity violation.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Yale lists Clarity Platform as a Yale-provided AI chatbot platform housed within Yale secure infrastructure and available to staff, faculty, and students.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Yale expects faculty to give clear instructions on permitted AI use and attribution, and expects students to follow instructor guidelines for coursework.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

AUS policy says students are forbidden from using generative AI tools to produce assessment work unless the course instructor explicitly permits that use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

AUS policy says instructors must specify permitted generative AI tools, rationale, allowed assignments or activities, and an academic integrity statement in the course syllabus when AI tools are used.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

AUS policy says students must acknowledge generative AI tool use in submitted course-credit material, including the tool name and version number.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Boston University student guidance says instructors have broad discretion to set GenAI rules within each course, and students are responsible for complying with those instructions and should consult the course GenAI policy or ask the instructor before assuming GenAI use is allowed.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Boston University faculty and staff guidance says users should avoid inputting or sharing private or sensitive information through commercial GenAI tools because this could violate privacy laws or university policy, and says TerrierGPT is recommended for institutional use but is not approved for restricted use data.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Boston University's TerrierGPT page says data entered into TerrierGPT is not used to train external models and that the platform is approved for confidential, but not restricted-use, data.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

CSU's AI Tools page says other AI tools such as ChatGPT, Gemini, or Anthropic Claude may be used for non-sensitive public information only.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

CSU-GPT is described by CSU as operating inside CSU's Microsoft Azure environment, keeping data, prompts, and uploads inside the university's Microsoft Azure tenant.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

CSU's AI Tools page lists CSU-GPT, Microsoft Copilot Chat with CSU NetID, and Microsoft Teams Premium as currently approved tools for handling sensitive CSU data.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

ETH Zurich advocates a proactive approach to the use of generative AI in educational contexts, emphasising responsible use among students and lecturers.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Students are responsible for the content of work they submit. Performance assessments must be conducted independently and personally; GenAI may serve a supplementary role but not replace student efforts.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Lecturers determine whether and how GenAI may be used in their courses and for respective assessments. Teaching materials created with GenAI must be subjected to quality control by the lecturer.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Freie Universität Berlin presents its current Eckpunkte document as the binding orientation framework for responsible AI use in study and teaching.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For AI use in teaching, Freie Universität Berlin recommends its centrally provided, regulation-compliant KI.Assist@FU access, especially when students are required to use AI; whether and how AI is used remains at the discretion of the respective instructors.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Freie Universität Berlin describes KI.Assist@FU as its central data-protection-compliant chatbot for study and teaching, available free to FU members through single sign-on; the chatbot page says entered data is not used to train the models.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Hiroshima University has an official 23 May 2023 page setting out its policy on use of generative AI, including ChatGPT, in educational activities.

Evidence records: 2. Original evidence remains canonical on the linked university record and public JSON.

Hiroshima University tells course and thesis supervisors to judge whether generative AI may be used in classes or assignments and explain that decision to students through syllabi, guidance, or similar channels.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Where generative AI use is allowed, Hiroshima University's policy says students should be told that using AI output as-is may amount to copyright infringement or plagiarism, and that any use or quoted output should be made clear in reports and similar assignments.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

HU Berlin’s recommendations allow examiners to use AI to create exam materials, but say examiners remain responsible for suitability and that sole use of AI to grade exams or study work is prohibited.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

HU Berlin’s exam and study-work AI recommendations are explicitly non-binding; they say AI use is generally allowed, while faculties and examination boards may make subject-specific binding decisions that restrict or prohibit AI use for particular assessments.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

HU Berlin says it promotes AI use in research, teaching, and administration, and frames its central generative-AI guide as a living guide that is to be expanded into an AI policy.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Johns Hopkins maintains a Teaching @ JHU generative AI guidance hub described as guidelines and best practices for generative AI tools and teaching.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Johns Hopkins guidance tells faculty to consult local divisional guidelines for discipline-specific generative AI information when such guidance is published.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The Johns Hopkins generative AI guidance page says it was developed by JHU centers for teaching and learning to guide teaching strategies related to generative AI.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

At King's College London, inappropriate use of generative AI without attribution is considered academic misconduct and can result in penalties ranging from formal warnings to expulsion.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

King's College London does not require students to reference generative AI as an authoritative source in the reference list, but does require explicit acknowledgement of AI tool use in coursework.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

At King's College London, submitting AI-generated text as one's own without written departmental permission is considered misconduct under third-party involvement or text manipulation offences.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Leibniz University Hannover has a central KI-Richtlinie that is binding for teachers and users at LUH who use AI systems in teaching.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

LUH says centrally provided AI systems should be used preferentially; mandatory use of decentralized AI systems in teaching requires KI-Rat approval and is allowed only if no personal data are processed.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

LUH offers AI competence training, and teachers who use AI systems in a course are required to integrate training materials or provide corresponding training for users.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Lund University's Swedish policy says generative AI use is to support learning and research and does not replace basic skills, critical thinking, or scientific method.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Lund University's student guidance says students who want to use GenAI for a compulsory assignment or examination must check whether it is permitted and how to report its use; presenting GenAI-generated work as one's own may be treated as cheating.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Lund University's staff AI page says users may not write or upload sensitive material or sensitive personal data to ChatGPT, and may never upload medical information regardless of confidentiality status.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Azure OpenAI is listed for Massachusetts Institute of Technology (MIT) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

IS&T recommends that MIT community members consult with IS&T before purchasing or using generative AI tools, and recommends using tools already licensed by IS&T for the MIT community.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

MIT maintains a list of approved generative AI tools licensed by IS&T for use by the MIT community. Only these tools are approved for use with low- and medium-risk information, and any tool not on the list requires contacting [email protected] for assessment before use or purchase. No generative AI tools are approved for use with High Risk MIT information.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

McMaster's teaching and learning generative AI guidelines say undergraduate and graduate course outlines should state acceptable and unacceptable generative AI use, and students should seek clarification and written confirmation if no syllabus statement is included.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

McMaster's student generative AI coursework tip sheet tells students not to use generative AI unless a course syllabus or professor explicitly allows it, and to disclose and cite AI-generated content when allowed.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

McMaster's teaching and learning guidelines say generative AI tools should not provide letter or numeric grades for student work, while AI-generated feedback may be used only under stated conditions such as syllabus inclusion and an opt-out ability.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

RMIT academic integrity guidance says students cannot use AI to complete or contribute to an assessment task unless specifically allowed, pass off unreferenced AI-produced ideas as their own, or submit AI-produced content they cannot understand or explain.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Before RMIT initiates its AI Governance Framework for an AI initiative, existing governance assessments include Privacy Impact Assessment, Security Risk Assessment, and Third-Party Risk Assessment.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

RMIT assessment guidance tells students to review and fact-check AI outputs and acknowledge AI tools when those tools contribute ideas, text, images, or other content to assessment work.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Rutgers Academic Integrity Policy 10.2.13 applies to all schools and academic units and says students must ensure submitted course, research, or other academic work is their own and created without impermissible technologies, materials, or collaborations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Rutgers OIT guidance says AI use in academic settings typically varies by discipline, course, or instructor; students should not consider AI tools permissible for coursework unless instructors clearly state or communicate permission.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Rutgers OIT guidance says anyone considering purchase of an AI application for use at Rutgers must follow the same security processes and risk assessments as other software purchases, as well as Rutgers digital-accessibility standards.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

USJ's AI guiding principles advise users to systematically verify data and information sources provided by generative AI.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

USJ's ChatGPT-3 guidance says using ChatGPT is not necessarily an academic-integrity violation, but unauthorized use to create content submitted as one's own is considered plagiarism and a violation of academic-integrity policy.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

USJ's CINIA page presents guiding principles intended to support effective, responsible, and ethical use of artificial intelligence in higher education teaching and learning, and says the principles were approved and validated by USJ's Committee for Digital and Artificial Intelligence Strategic Orientation.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Swansea University's AI assessment policy says staff and students should not enter identifiable information into any AI application, and are not permitted to upload student assessment or identifiable data without explicit written consent.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Swansea University's AI assessment policy says staff and students are not permitted to present work completed by AI applications as their own without acknowledgement.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Swansea University has a policy for responsible use of AI applications, including generative AI, in assessment, applying to faculty staff, students, and professional service staff involved in assessment or AI use within the University.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Manchester does not ban generative AI. The university's position is that when used appropriately, AI tools have the potential to enhance teaching and learning, and can support inclusivity and accessibility.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Manchester has adopted five core principles for AI use: transparency, accountability, competence, responsible use, and respect. All staff and students using or developing AI are personally responsible for adhering to these.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Tools to detect AI-generated content are unreliable and biased and cannot be relied on to identify academic malpractice in summative assessment at Manchester. Output from such tools cannot currently be used as evidence of malpractice.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

At the University of Melbourne, using GenAI tools to produce work submitted for assessment without acknowledgement constitutes academic misconduct under cl. 4.13 of the Student Academic Integrity Policy (MPF1310).

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Students must check with their Subject Coordinator before using GenAI for assessment-related work at the University of Melbourne.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Melbourne assessment materials and teaching materials constitute University IP and should never be tested on third-party external GenAI platforms such as ChatGPT; any such testing must be done only within the University's secure SparkAI platform.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For UWA assessments assigned Tier 1, students are not permitted to use AI in any way to complete the assessment, and any AI use during that Tier 1 assessment is treated as academic misconduct.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For UWA coursework assessments, AI tools may only be used where the Unit Coordinator explicitly permits them; permitted use must be cited, referenced, and clearly acknowledged.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UWA student assessment guidance describes three AI-use tiers that lecturers may apply to assessment tasks: Tier 1 no AI, Tier 2 AI assistance or collaboration, and Tier 3 fully embedded AI.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TU Dortmund's ChatGPT handout frames AI tools as increasingly everyday aids in university life and says universities should advance and critically accompany technical developments.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TU Dortmund's ChatGPT handout warns against using AI tools to check examination work and says uploading student names or matriculation numbers would implicate GDPR requirements.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TU Dortmund maintains a public Digitale Lehre page that provides a first orientation aid and further information about ChatGPT for staff and students.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The position paper says students and teaching staff cannot be obliged or asked to use ChatGPT unless technical and organizational measures prevent OpenAI from processing their personal data, and prompts must not contain personal or confidential university information.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Universität Potsdam's adopted AI teaching position paper supports the use of generative AI in teaching so students can develop reflective use for future professional practice.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The official e-assessment AI page says using AI such as GPT.UP may not be a condition for passing an assessment, and AI should not be used by instructors for full creation and grading of summative examinations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Basel says it is not planning a general ban on AI-based tools, and that lecturers can decide case by case whether to integrate AI-based tools into teaching, exams, and assessments or restrict their use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Basel AI citation guidelines say AI-supported tools may only be used in a supporting role for work submitted for credit, with students retaining a controlling role and responsibility for their own work.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University Library Basel guidance on licensed e-resources says third-party use includes uploading licensed content or data to external platforms, specifically ChatGPT and other AI platforms, where storage and future use are controlled by third parties.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Guelph states that submitting AI-completed materials without instructor permission constitutes an offence under its academic misconduct policies.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For University of Guelph courses, acceptable student use of AI is determined by the course instructor and may vary by discipline, program, and assessment type.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Guelph Office of Teaching and Learning says generative AI plagiarism detection software is not currently approved for use at U of G and instructors should not submit student work to generative AI detection tools while more is being understood.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Malta guidance says unacknowledged work generated by AI tools is considered plagiarised work.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Malta student FAQ guidance tells students to check with their tutor before using Generative AI tools to produce answers in summative assessments.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Malta academic-staff guidelines say lecturers decide if and how Generative AI is permitted in a study-unit; if assessment instructions do not mention Generative AI, use is assumed not allowed except for listed support uses.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Pittsburgh Teaching Center guidance says it does not endorse or support the use of any AI-detection tools.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Pittsburgh Teaching Center guidance says free GenAI tools should not be considered private or secure, and information that is not already public should not be put into a free GenAI platform.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Pittsburgh Teaching Center guidance strongly recommends that instructors include an AI syllabus statement that clearly communicates expectations to students in all courses.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Siena's guidelines say authors of publications, degree and doctoral theses, term papers, or other writings requiring contribution attribution must clearly and specifically indicate whether and how much they used AI technologies such as ChatGPT or other LLMs.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Siena's guidelines state that improper student use of chatbots for theses, doctoral theses, essays, or written exams is sanctioned under the code of conduct like other misconduct.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Siena has official ChatGPT and LLM guidelines listed in its institutional guidelines section and announced as approved by the Academic Senate on 11 July 2023.

Evidence records: 2. Original evidence remains canonical on the linked university record and public JSON.

UT Austin acceptable-use guidance says unauthorized AI tools are not approved for controlled or confidential university information, including student records subject to FERPA, health information, proprietary information, and other controlled or confidential data.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UT Austin AI detection guidance prohibits third-party AI detection software from being used to evaluate student work or assignments unless a university contract or purchase order is in place.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UT Austin responsible-adoption guidance defines responsible AI use in teaching and learning as adopting AI in ways that facilitate learning outcomes and foster human development for campus community members.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Zurich has seven guiding principles on the use of artificial intelligence in research and teaching, adopted by the Extended Executive Board on 26 September 2023 and later expanded and supplemented.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UZH guiding principles say faculties should ensure equal opportunities and fair assessment conditions whether AI tools are permitted or prohibited, and that UZH will uphold academic integrity and penalize violations of its disciplinary or integrity rules.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UZH recommendations say faculties and study program directors are responsible for specific generative-AI guidelines and should ensure students know whether and how generative AI may be used in assessments.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Utrecht University uses an AI index for students as a five-level scale for how AI may be used, with teachers able to choose levels for a course or specific assignments.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Utrecht University's researcher guidance says personal or sensitive data should not be used as GenAI input unless the user is certain data protection law is respected.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Utrecht University's teacher AI Policy guidance says AI use in education must be ethical and legally compliant while the university retains human-in-the-loop freedom of action.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Aalto University guidance says AI-based technologies are allowed as support for teaching and learning unless the course teacher instructs otherwise, and the teacher may set course- or task-specific restrictions when learning objectives require them.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Aalto University guidance says teachers who restrict AI use must give clear limitations connected to assessment criteria, and teachers may only require student work to be submitted through systems approved by Aalto University.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Aalto University guidance says students remain responsible for submitted work, and using AI contrary to a teacher's instructions in a learning task is considered cheating and handled under current procedures.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Aston University's 2024/25 student discipline regulations define misusing AI tools as an academic offence where AI use is not permitted and a student uses AI tools to generate assessment content submitted as their own original work.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Aston University staff guidance says each assessment brief must explicitly state whether generative AI use is essential, optional, or prohibited.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Aston University's 2025/26 general regulations update identifies unreferenced use of artificial intelligence in an assessment in contravention of the relevant assessment brief as an academic offence category.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Concordia CTL guidance says Concordia has not approved or acquired online AI detectors and therefore staff or faculty use of them is not permitted because of privacy laws and regulations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Concordia's CTL GenAI FAQ says the university does not currently have an official policy regarding the use of GenAI, and explains that GenAI has not officially been adopted by the university so its use cannot be required in coursework.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Concordia CTL encourages faculty to clearly state their position on GenAI use in courses, including in the syllabus and in class, and provides adaptable sample statements for encouraged, limited, or prohibited use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Dalhousie's course syllabus guide says syllabi should include a statement about instructor expectations around generative AI and large language models such as ChatGPT.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

A Dalhousie CLT generative AI teaching handout says current detection tools that claim to identify AI-generated work are not reliable and are not recommended.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Dalhousie's CLT course design guidance tells instructors concerned about student generative AI use in coursework to talk with students about what they can and cannot use it for and how to use it appropriately.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For Dartmouth AB undergraduates and special non-degree students, GenAI tools are disallowed by default for submitted coursework unless expressly permitted by the course instructor.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

When GenAI tools are permitted in a Dartmouth undergraduate course, students are expected to disclose or acknowledge the use according to instructor guidance or a discipline-appropriate citation method.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Dartmouth instructors may define course-specific parameters for GenAI use, and their course GenAI policies define academic-integrity expectations for that course.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Deakin research guidance says commercial genAI platforms may store data externally and researchers should use only non-sensitive, non-confidential content suitable for public or external use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Deakin identifies a set of approved genAI and digital learning tools for learning, including Deakin GEM, Studiosity+, Microsoft Copilot for web, and FeedbackFruits.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Deakin guidance says students should acknowledge genAI use where it contributed to developing assessment work and should include tool, access date, prompts, output, and where it was used.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Duke student-facing AI guidance says whether a student may use AI in coursework depends on instructor permission; unauthorized generative AI use is considered academic misconduct under the Duke Community Standard.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Duke CTL guidance tells instructors to update syllabi with clear guidance on generative AI use and says instructors may define how, if, and when generative AI may be used in their courses.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Duke AI tool guidance describes ChatGPT as available to Duke University faculty, staff, and students, with sensitive-data use excluding PHI and governed by institutional agreement.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Edinburgh Napier University's Assessment Policy states that inappropriate use of Generative AI in assessment, including presenting generated content as a student's own work, is cheating and a breach of the Academic Integrity Regulations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Edinburgh Napier University's generative AI position states that the university does not permit Gen AI detection tools on student assessment submissions, and academic staff are not permitted to use external detection tools on student work.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Edinburgh Napier University's Assessment Policy says every assessment will use the Assessment Declaration Cover Sheet for students to declare that the submission is their own work and acknowledge other-source contributions, including Generative AI use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

FIU CAT states that SCAI handles academic misconduct cases under the Student Conduct and Honor Code, including cheating or plagiarism based on how a student may have used AI or automated tools in the classroom.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

FIU's Center for the Advancement of Teaching advises instructors to clearly define acceptable AI use in course expectations and syllabus policy, including which tools are permitted and how they may or may not be used.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

An official FIU Syllabi sample AI-use PDF includes sample academic integrity language stating that AI-generated content without proper attribution or authorization is another form of plagiarism.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

IE University's admissions integrity policy does not allow live-stream translation services or other AI to provide language fluency during admissions interviews and assessments.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

IE University's admissions integrity policy welcomes AI such as ChatGPT in the admissions process when candidates clearly identify AI-generated content, use quotation marks, and include sources and details.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

A 2025-26 IE Humanities syllabus states that, for that course, ChatGPT or any other AI platform or tool is strictly prohibited for generating ideas or content, except spelling or grammar checking.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

dAIsy is listed for Imperial College London in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Individual departments at Imperial may allow or prohibit the use of generative AI for specific assessments. Local (team/department/faculty) instructions take precedence over university-wide guidance. Students should check their department's current policy on using and disclosing generative AI in academic work and follow their module leader's instructions.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Students should include a statement acknowledging their use of generative AI tools for all assessed work, specifying the tool name and version, publisher, URL, a brief description of how it was used, and confirmation that the work is their own. Further requirements such as prompts used, date of output, the output obtained, and how it was modified may also be required by individual departments.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

IIT Bombay's Department of Humanities and Social Sciences AI policy says it specifically addresses AI use for teaching, research, and administration in HSS; users are responsible for academic and professional integrity, and human verification of AI-content accuracy is mandatory for permissible use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The HSS IIT Bombay AI policy requires explicit prior permission from the instructor or supervisor for AI use, except for basic grammar and spell-check functions, and says grammar and spell-checking tools must be acknowledged.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The HSS IIT Bombay AI policy says AI use without human verification is not permissible for tasks involving evaluation or assessment of students, staff, or researchers, and AI detection tools cannot be the sole criterion for disciplinary action without human verification.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The Vice-Rectorate orientation guidelines say teachers are responsible for deciding which text-generating AI systems may be used in what form, and that the scope and form of use should be stated in the course description before the course starts.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For assessed writing, University of Graz guidance says AI use should be transparent: students should label and document AI use and follow the AI guidelines of the relevant course.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Graz does not set a blanket prohibition on AI technologies for writing assignments; lecturers decide for each course which text-generating AI systems may be used and how.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Students may not submit content generated with generative AI as their own without disclosure, and using AI in exams, assignments, or academic assessments is treated as cheating unless the course instructor permits it.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

King Saud University's AI Office guideline is scoped to generative AI use in teaching and learning by students and faculty, not to all university personnel or general technical AI uses.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Faculty members must state the course AI-use policy in the course description, including whether AI use is allowed for assignments, projects, and activities and how use should be disclosed.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

KIT's KI-Toolbox terms allow personal data only through locally hosted KIT models and prohibit processing personal data through Azure OpenAI models.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

KIT's SCC KI-Toolbox is available to KIT employees, KIT students from April 2026, and guests/partners after completing the required self-study course.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

KIT ZML says its KI-Policy and form-generator tools are not official or mandatory KIT requirements; final rules for coursework remain with the relevant faculty and instructor.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Kyushu University's basic stance says course instructors may set generative AI use rules for individual classes according to each program or course objective, and should indicate those rules to students, such as in the syllabus.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Kyushu University's teacher-facing guidance says that when generative AI use is allowed, instructors should direct students to state quoted AI output, the AI service name, and version, and may request prompts and outputs.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Kyushu University's teacher-facing guidance says AI writing detector results should be treated only as a reference, and suspected AI writing should be judged after giving the student a chance to explain and investigating the situation.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Macquarie student guidance categorises assessment tasks as Open or Observed: Open tasks allow generative AI with acknowledgement and student responsibility, while Observed tasks may restrict or prohibit AI use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Macquarie's AI policy says University-provided AI tools and systems are subject to privacy, security, intellectual-property, intended-use, and risk-assessment controls.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Macquarie student assessment guidance says Unit Guides are the definitive source for whether a task is Open or Observed, with iLearn providing more detailed assessment information.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Manchester Metropolitan University's 2025/26 Academic Misconduct Policy treats unauthorised generative AI use in assessment, where a student attempts to gain an unfair advantage by passing it off as their own work, as academic misconduct that may be investigated under the policy.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Manchester Metropolitan University tells students to check the assessment brief for specific instructions on generative AI, says they should only use AI as directed, and says they cannot use it to create the assessment itself.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Manchester Metropolitan University's teaching guidance says it has opted out of enabling AI-generated text detection software for the foreseeable future and tells colleagues not to upload student work into online AI detection services because they are unreliable and the uploaded data is not secure.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

When allowed or required to use AI in an assessment, students must follow all instructions and restrictions on its use, clearly document the type of AI used and how it contributed, and provide written acknowledgment of the use of AI and its extent.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Chief Examiners have overarching responsibility for designing and setting assessment conditions, including communicating and verifying the responsible use of AI within assessment tasks.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Thesis examiners are not permitted to use Generative AI technologies (such as ChatGPT) during the thesis examination process to support, prepare, or write their examiners' report.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Nankai University's undergraduate AI tool norm prohibits AI use for confidential or sensitive-content creation, uploading confidential content to AI platforms, generating or altering core arguments or research data, academic misconduct such as ghostwriting, plagiarism, or copying, and AI use in listed midterm and final assessment formats unless a teacher explains a special-use case in advance.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Nankai University's undergraduate AI tool norm permits students, with course teacher or supervisor consent and where core assessment or innovation is not affected, to use AI tools for literature search and management, grammar and formatting support with marked generated content, chart production from real data, and code assistance subject to author review and testing.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Nankai University's undergraduate AI tool norm says students should clearly explain and mark specific AI-generated content in coursework, graduation theses or designs, and lab reports, and should keep complete AI tool use records such as prompts, outputs, and selected use for checking.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

National Taiwan University guidance says it takes a positive and constructive view of AI tools, encourages teachers to adjust course planning and learning assessment, and says students should understand AI-tool limitations for future learning.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

National Taiwan University guidance recommends that instructors clarify AI-use principles and rules early in the course, preferably in the syllabus, including which activities and assignments may or may not use AI tools.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

National Taiwan University guidance says students using ChatGPT for assignments or reports should clearly label AI-generated content, fact-check it, and comply with academic ethics and academic-integrity requirements.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

NMBU's generative AI guidelines require students to clearly indicate how and where AI-based programs have been used, and to account for AI use in assignments or other work submitted for assessment or compulsory activity.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

NMBU's generative AI guidelines state that AI-based programs are permitted in accordance with the guidelines, while individual course descriptions may state that AI-based programs are not permitted for exams or other assessed work.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

NMBU's generative AI guidelines state that AI-based programs will normally not be permitted in written examinations on campus; for take-home exams, students must follow the AI-use specifications in the exam paper and course description.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Oregon State University Student Community Standards states that misuse of GenAI on an assignment could violate the university's Academic Integrity Policy, including plagiarism, cheating, or fabrication.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Oregon State University guidance says instructors may not input student work into GenAI tools or applications that are not approved by OSU.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Oregon State University strongly encourages instructors to include a syllabus statement about whether and how students should engage with GenAI in their course learning and assignments.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

PUCV's academic-integrity policy states that use of AI tools such as ChatGPT without adequate citation is considered plagiarism.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

PUCV's academic-integrity policy frames ChatGPT-style tools as possible support for teaching only when students critically analyze the information before learning activities or assessments.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

PUCV teaching-development guidance says course syllabi and virtual classrooms should establish correct AI tool use in advance and specify which tools are authorized for the course.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Princeton University requires students to disclose the use of generative AI when permitted by the instructor, rather than cite or acknowledge the use, since generative AI is an algorithm rather than a source (Rights, Rules, Responsibilities section 2.4.7).

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Princeton University states that inappropriate uses of generative AI on any work submitted to fulfill an academic requirement, including directly copying the output, representing output as the student's own, exceeding instructor parameters, or failing to disclose its use, would constitute violations of academic integrity (Rights, Rules, Responsibilities section 2.4.6).

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Princeton University states that the decision to allow, limit, or prohibit generative AI in a course or in undergraduate independent work remains with the faculty; faculty members have the discretion to set their own generative AI policy for their courses.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Queen's AI Applications page states that the university has conducted security and privacy assessments for generative AI software and uses those assessments to identify risks and inform use guidelines.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Queen's common course policies state that course outlines will include a statement indicating whether generative AI tools are permitted in a course and under what conditions.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Queen's describes responsible generative AI use through five guiding principles for students, staff, and faculty, including checks for whether a use is prohibited, permitted, encouraged, or required.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Queen's assessment guidance says module staff will clarify if and how AI can be used in assessment, and students should consult their tutor if in doubt.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Queen's AI position page says its staff and student AI guidance is based on RAISE principles: responsible use, AI best practice, integrity, support, and equitable access.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Queen's assessment guidance says students who misuse AI will be subject to the University's academic misconduct regulations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

RUB's GPT@RUB usage directions say third-party personal data and sensitive third-party personal data may not be used as GPT@RUB input, and GPT@RUB or other AI systems may not be used for automated decision-making in examinations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The English Seminar's AI guidelines require written coursework to use the seminar's declaration of authenticity, require GPT-created text passages to be marked, prohibit inserting whole GPT-created paragraphs, and state that unmarked use of GPT-generated text counts as an attempt to cheat.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

RUB's IT.SERVICES page describes GPT@RUB as an AI chat portal that offers all RUB students, staff, and lecturers reliable access to AI in everyday university life.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Sejong University's 2025 notice for international students says generative AI use is conditionally permitted, varies by syllabus or instructor guidance, and submitting AI-produced content without explicit instructor permission constitutes academic misconduct.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Sejong University's 2026 AI usage guideline tells students that if they use AI for learning or assignments, they must transparently disclose the fact of AI use, such as through footnotes, citations, or reference details.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Sejong University's 2026 AI usage guideline tells students not to enter sensitive personal information into AI systems and not to upload undisclosed research data or internal assignment materials because of leakage risk.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TUM ProLehre guidance says instructors at TUM have broad discretion when deciding whether and how AI is used in teaching, and that related rules should be didactically grounded and communicated transparently to students.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

When AI use is restricted, TUM ProLehre guidance tells instructors to clearly define what AI may be used for, what it may not be used for, and to discuss this with students.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TUM ProLehre guidance recommends starting AI-use decisions from the intended learning outcomes and whether AI use supports, complements, or hinders those competencies.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TU Dresden's public AI-use guidance says unlabeled or unauthorized use of aids, including answers or results generated with AI-supported text-generation tools such as ChatGPT, constitutes deception under examination law.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TU Dresden's public AI-use guidance tells users of external text-generating AI systems not to enter personal data and to use anonymous or anonymized data where possible.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TU Dresden's public AI-use guidance says teachers and examiners can decide whether and to what extent AI-supported text-generation tools such as ChatGPT are used, including as permitted aids in examinations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

PolyU takes an open and forward-looking stance on the use of GenAI tools as a positive and creative force in education, and expects that the usage of generative AI will become a normal part of learning, teaching, and assessment from 2023/24 Semester One.

Evidence records: 2. Original evidence remains canonical on the linked university record and public JSON.

PolyU guidelines state that work submitted for assessment must be the student's own work and must not be a copy or version of other people's work or AI-generated material.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

PolyU states that while it embraces the use of GenAI tools in education, students must adhere to high standards of academic integrity in all forms of assessments.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Arizona student AI guidance tells students they can use AI for assignments only if the instructor says it is OK, and says unpermitted use could violate the Code of Academic Integrity.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Arizona's central AI guidance states that there is currently no single university-wide policy specific to AI use in coursework, while instructors are encouraged to set clear course-material expectations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Arizona AI Tools & Data Use Guide lists free or paid AI tools without an enterprise license, including ChatGPT, Claude, and Gemini, as allowed for public data and not allowed for internal, restricted, FERPA, HIPAA, PII, PCI, ITAR/EAR, IRB, CUI, or GLBA data.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Tennessee system AI policy says course-related communications must inform students that unpermitted AI use is a form of academic misconduct subject to the campus student code of conduct.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Tennessee system AI policy, which includes UT Knoxville, expects course faculty or staff to communicate permitted AI uses for a course and says students are responsible for following those course-specific AI requirements.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UTK Writing Center guidance tells students that when an instructor allows GenAI for writing assignments, they should use it to assist rather than replace their writing process and should document and describe the use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Tohoku University's student-facing Online Class Guide says students need to confirm generative AI use, including whether it is allowed, with the instructor for each class.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The same student guidance says some classes may prohibit or limit generative AI use and that students should follow the instructor's instructions.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Tohoku University's generative AI guidance cautions that unpublished research results, confidential information, entrance-exam information, and student or staff personal information can be exposed to service providers or other users through generative AI and translation services.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TMU's Academic Integrity Office says students should assume that using AI to complete assessments is prohibited unless the instructor explicitly states otherwise.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TMU guidance states that, unless a course instructor explicitly communicates otherwise, GenAI use for coursework is not permitted.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TMU's GenAI learning and teaching guidance tells users not to submit anyone's personal information into GenAI models without consent or an ability to opt out.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UCL uses a 3-category assessment framework for GenAI: Category 1 requires own work only; Category 2 permits GenAI with acknowledgement; Category 3 includes essential GenAI use as part of the assessment.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UCL designates Microsoft Copilot as its approved GenAI tool due to its enhanced data protection, positioning it as a more secure alternative to other GenAI services.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UCL defines academic misconduct in the context of GenAI as gaining an unfair advantage over other students; there is no single list of fair and unfair uses as it depends on the assessment category.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The guidance states that if active use of an AI tool in a course requires registration with personal data, that use must be voluntary because GDPR must be observed.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The central guidance recommends that instructors formulate clear course guidelines governing generative AI use and discuss them with students.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For study or examination work, the guidance says instructors must state in writing which aids are permitted and that unauthorized aids, including AI where not allowed, are assessed through the usual deception framework.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Université Paris-Saclay's 2025-2026 first-cycle exam rules say that, for Licence professionnelle, Licence, and Licence double-diplôme students covered by the rules, use of ChatGPT or another AI tool must be explicitly mentioned when it is not prohibited, and failure to mention AI as a source will be sanctioned.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Université Paris-Saclay's 2025-2026 master exam rules say that use of ChatGPT or another AI tool must be explicitly mentioned when it is not prohibited, like any external source borrowing or citation, and failure to mention AI as a source will be sanctioned.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Université Paris-Saclay's official IAG working-group article says the group aims to familiarize teacher-researchers and students with generative AI and orient them toward good practices in teaching and research.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For Toulouse Law School students, the AI guidelines permit study-support uses such as summaries, explanations, plans, practice QCMs, and reformulation, but say AI must not be used to fabricate all or part of graded work and list generation of exam papers, homework, case comments, or dissertations as prohibited uses.

Evidence records: 2. Original evidence remains canonical on the linked university record and public JSON.

For Toulouse Law School teaching, training, and assessment activities, the AI guidelines say AI use by a student or teacher must be declared when it contributes to work that is submitted, published, or evaluated.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The Toulouse Law School guidelines say homework may be corrected for pedagogical purposes but should not count toward continuous-assessment grades except where AI use itself is evaluated; in that case students must explain their method, describe AI use, and correct or analyze results.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Universiti Malaya's AI policy applies to academic staff and students across teaching and learning activities, including coursework, research projects, dissertations, final-year projects, theses, and online or blended learning activities.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Universiti Malaya student guidance frames AI as a learning support tool and says students remain responsible for ensuring submitted work reflects their own understanding and intellectual contribution.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Universiti Malaya guidance says lecturers specify the permitted level of AI use for each assignment or assessment, using levels from no AI use through integrated AI use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Student guidance says students must not use GenAI to do their critical thinking, analysis, evaluation, synthesis, or to generate essays, poems, or creative works.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Course Coordinators must provide students clear guidance on what GenAI tool use is permitted for work submitted for assessment.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Student guidance says learning materials and assessment information must not be entered into GenAI tools without explicit permission from the author, and students should never enter personal and sensitive data into GenAI tools.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The UC Davis School of Medicine policy says medical students may not use generative AI to directly author submitted assignments or generate answers for closed-book assessments unless faculty or course leadership gives written permission.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UC Davis guidance tells students to confirm with instructors before using AI in coursework and not to use AI to complete assignments unless explicitly permitted.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The UC Davis School of Medicine policy says medical students are not permitted to use external generative AI tools for patient care documentation except as allowed under UC Davis Health policy, and PHI must not be entered into a generative AI tool outside a secure institutionally supported system.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

ChatGPT 3.5 is listed for University of Chicago in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: third party service.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

ChatGPT 4.0 is listed for University of Chicago in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: third party service.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

GitHub Copilot Business is listed for University of Chicago in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Dundee student guidance says GAI tools should not be used to generate essays or assessment answers that are then submitted as the student's own work.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Dundee guidance states that submitting work that is not one's own, including unauthorised use of GAI, is considered academic misconduct.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Where lecturers permit GAI sources in assessment work, University of Dundee student guidance says students must transparently acknowledge, describe, and reference how they used GAI.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Exeter follows a four-tier GenAI assessment model from 2025-26: AI-integrated, AI-assisted, AI-minimal, and AI-prohibited.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For AI-integrated and AI-assisted assessments, Exeter requires students to include AI prompts and, where possible, hyperlinks to outputs in their references.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Exeter says AI-minimal assessments allow AI only for spelling and grammar checking, and AI-prohibited assessments do not allow GenAI tools.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UNIGE states that it supports the development and use of artificial intelligence and uses generative AI where it represents an opportunity in research, teaching, learning, or administration.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Within UNIGE's Faculty of Science, a formal declaration of generative AI use is required for all bachelor's, master's, or doctoral work and for academic assessment or production leading to a degree or official title.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UNIGE states that faculties and interfaculty centers decide how AI is integrated into teaching and set specific conditions for using generative AI tools in research, teaching, and learning activities.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Greenwich 2025 Assessment and Feedback Policy says staff will provide students with the university guide on referencing generative AI, a video on using AI effectively, and the Declaration of AI use via the VLE to support understanding of acceptable AI usage in assessments.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Greenwich 2025 Assessment and Feedback Policy says assessment will be designed to maintain integrity and standards where students have access to generative AI, and encourages staff to incorporate generative AI as a learning tool while facilitating responsible student use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Greenwich student AI guidance encourages students to use AI to aid learning, while telling students to acknowledge AI use in assignments by adding a declaration and not to copy and paste directly from an AI tool for submitted English-language work.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Leeds assessment guidance says students can use generative AI to help learning but cannot use AI to generate or falsify work.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Leeds assessment guidance uses a red, amber, and green traffic-light system to indicate how GenAI should be used in taught student assessments.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Leeds postgraduate researcher guidance says PGRs must not use GenAI to write their thesis, transfer report, or other work, falsify work, or breach research assessment and examination guidance.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Leicester's Generative AI policy provides a university-level framework for appropriate AI use in learning, teaching, and assessment activities.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Leicester policy states that staff and students must not use generative AI in ways that collect, store, access, or share personal data without explicit consent.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For assessment, the University of Leicester uses three categories for generative AI use: red where AI must not be used, amber where AI may support assessment but not generate submitted content, and green where AI may generate assessment content within the brief.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Luxembourg guidance says generative AI use should be disclosed according to each course and assessment, with course guidelines serving as the primary point of reference.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Luxembourg guidance identifies Microsoft Copilot as the official supported chatbot and notes that UniGPT access is currently limited to University staff.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Luxembourg guidance lists non-permitted AI practices, including undisclosed submission of AI output as one's own work, using AI to replace the central assessed intellectual contribution, fabricating data or citations, and trying to conceal AI involvement.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Manitoba students may use AI and Generative AI tools for coursework only when their instructor has explicitly permitted that use, and expectations can vary by course and assignment.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Manitoba discourages instructors from using AI-detection software on student work, citing unreliability and privacy, intellectual property, and ethical concerns.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Manitoba states that it has not formally approved specific Generative AI software; even GenAI tools within its M365 A3 license should be considered with the caution applied to third-party applications that ingest personal data.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For coursework, UMD tells students to assume GenAI use for assignments and assessments is not allowed unless the syllabus or assignment instructions specify otherwise.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UMD strongly encourages instructors to establish course-specific policies defining appropriate and inappropriate GenAI use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UMD's Division of Academic Affairs advises against incorporating GenAI detection tools into course policies and says detection results should be treated only as potential indicators, not definitive proof or the sole basis for grading decisions.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UniGPT terms distinguish local and external models: local models may process confidential V3 information but not strictly confidential V4 information, while external models may receive only public V1 information.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The UniGPT privacy page states that user-generated chat data is not used to train models; logs and metrics are automatically deleted after 14 days, and other data is automatically deleted after six months without login.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Munster provides UniGPT as a chatbot service for research, teaching, and administration, offering on-premise models in the Uni Cloud and external models; the service page says on-premise model data remains within the university.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For students, unless course objectives or explicit instructor authorization allow it, UNamur proscribes delegating reflective analysis to generative AI, submitting work entirely or mostly generated by AI, and using copied, paraphrased, translated, or AI-generated material without indicating the source.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For students, unless course objectives or explicit instructor authorization allow it, UNamur says they cannot introduce non-anonymized or non-pseudonymized personal data into prompts addressed to generative-AI tools.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For students, UNamur allows some generative-AI uses without referencing when they are not contrary to course objectives, including brainstorming or organizing ideas without content creation, translation or summarization for comprehension, and short language improvement of text written by the student.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UNH's Academic Integrity policy treats unauthorized use or attempted use of AI tools as cheating, and treats computer-generated text or work submitted as one's own without proper citation or attribution as plagiarism.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UNH Provost syllabus guidance says generative-AI detection tools should not be used to make definitive academic-integrity judgments, and says uploading documents containing student names, emails, or ID numbers violates FERPA; faculty using AI-enabled tools to evaluate student work must disclose that use and keep student data protections in mind.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

USNH's AI chatbot KB identifies DeepThought and Microsoft Copilot as USNH-provided AI options, recommends signing into Copilot with a USNH account for enterprise data protection, says public chatbots such as ChatGPT and Bard are not secure, and says alternative AI solutions must complete the Security Assessment Review process before purchase or implementation.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UNC-Chapel Hill's administrative generative AI guidance says sensitive information should not be entered into generative AI tools unless the Information Security Office has completed a risk assessment and the Data Governance Oversight Group has approved the tool for sensitive information.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UNC-Chapel Hill's faculty grading and assessment guidance says students must be able to request a full instructor-led review if they disagree with an AI-generated grade or have concerns about automated feedback.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UNC-Chapel Hill's faculty grading and assessment guidance says AI systems used for grading or feedback must be institutionally approved and compliant with data security and privacy standards; faculty using GenAI for grading retain full responsibility for evaluative decisions and feedback.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Sussex staff guidance says module convenors determine and communicate AI-use permissions via module Canvas sites and choose one of three assessment-level permissions: AI use prohibited, AI in an assistive role, or AI with an integral role.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Sussex student misconduct guidance includes unauthorized or inappropriate use of digital technologies including AI, and gives examples including AI use where prohibited and submitting permitted AI-generated work without required acknowledgement.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Sussex staff guidance provides a prohibited-use assessment statement saying generative AI tools must not be used to generate materials or content for that assessment, while allowing other assistive technology for registered reasonable adjustments.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UTS's AI Operations Procedure requires a six-stage identification, assessment, approval, implementation, and management process before developing, deploying, procuring, or activating AI systems or AI capabilities.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UTS's Artificial Intelligence Operations Policy guides the use, procurement, development, and management of AI for teaching, learning, and operations, while directing research use to the separate research guidelines.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UTS Education Express says university misconduct rules apply to AI use in assessments, students must acknowledge AI-tool use, and students should only use AI tools to generate verbatim assessment materials when instructed that this is appropriate.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UiT tells students that, when AI use is permitted for exams or assessments, they must describe how they used the tool and cite AI-edited content.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UiT says the course coordinator defines the extent to which AI tools may be used in teaching, assignments, and exams, and exam instructions must specify permitted aids including any allowed AI use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UiT says DeepSeek is not permitted on UiT-owned equipment, and employees are also prohibited from using UiT services such as email, Teams, and OneDrive on personal devices where DeepSeek is installed.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Waterloo's Academic Integrity page says instructors should state whether AI tools such as ChatGPT are allowed for assignments, tests, or exams, and that students who do not follow those instructor rules are subject to Policy 71 academic-misconduct processes.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Waterloo IST says review processes assess AI tools used with University data for security, privacy, and contractual risks.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Waterloo's graduate-student GenAI guidance says graduate students should not submit GenAI-produced work for course assignments without explicit course-instructor permission or instruction.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Utah State University's AI Use & Compliance guidance says AI-generated content must be reviewed for accuracy, bias, and copyright compliance before use in coursework, research, or administrative communications.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Utah State University's teaching guidance says instructors have autonomy to determine class AI guidelines, but those guidelines must be clearly defined in the syllabus and enforced through Article VI of the Student Code.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Utah State University's teaching guidance says positive AI detection reports should be approached with skepticism and should not be the only point of evidence or suspicion in an accusation of student cheating.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

VU Amsterdam's framework says the lecturer or examiner indicates in the study guide, syllabus, or Canvas whether and how use of generative AI is allowed for a course, with course learning objectives remaining leading.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

VU Amsterdam's Dutch academic-integrity page states that work made by generative AI is not the student's own work and lists using an AI writer to write an assignment as an example of fraud.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

VU Amsterdam's April 2025 Dutch framework describes the university's vision and policy for generative AI in education and gives faculties conditions for formulating their own faculty AI education policy.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Western Sydney University's Use of Artificial Intelligence Policy guides responsible and ethical AI and generative AI use for learning, teaching, assessment, research, and administrative functions, and applies to all students and staff.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Western Sydney University's Academic Integrity Guidelines say inappropriate use of generative AI in assessment tasks may lead to penalties under the Student Misconduct Rule.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Western Sydney University's student guidance says generative AI rules differ by assessment task and students are responsible for reading Subject Outlines, checking vUWS, or asking the Subject Coordinator rather than assuming the same advice applies across tasks or subjects.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Xiamen University's AI teaching guideline applies to Xiamen University teachers and students using generative AI services for on-campus course teaching activities.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Xiamen University's AI teaching guideline says teachers should state in their courses which generative AI services students may use or are prohibited from using.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Xiamen University's AI teaching guideline says students using generative AI services in course learning should actively disclose that use to the teacher and accurately mark the contribution of generative AI when required by the teacher.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Aarhus University student guidance says students who use GAI in an exam project must submit a declaration naming the applications and explaining how they were used, and unchanged GAI output used in an exam project must be cited like other secondary-source quotations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Aarhus University student guidance says the main rule is that students are allowed to use GAI unless their academic regulations or the course catalogue explicitly state that GAI is not allowed.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

AU Educate guidance for teaching staff says that from fall 2024 students are allowed to use GAI in all AU exams unless academic regulations or the course description explicitly state that they may not, and it advises teachers to read those rules for their courses.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

ADA University's Honor Code treats violating exam, test, and assignment rules, accepting unauthorized help, and using someone else's intellectual work without proper credit as unacceptable behavior.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

ADA University's Student Assessment Regulations say assignments are to be designed and conducted to minimize plagiarism and cheating risk, including contract cheating, and that students are to receive clear instructions on avoiding academic-integrity breaches.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

ADA University's Student Assessment Regulations require submitted take-home exams to include a signed and dated academic-integrity declaration confirming the work is the student's own and that all sources used were acknowledged.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Adelaide University's Academic Integrity Policy treats inappropriate use of AI that subverts an assignment or gives unfair academic advantage as an example of academic misconduct, including submitting AI-produced work as the student's own or using AI-generated information without acknowledgement.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Adelaide University's invigilated online exam rules state that students may use only tools, software, or materials explicitly approved in exam instructions, and list AI tools such as ChatGPT as not permitted.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Adelaide University's Academic Misconduct Procedure lists inappropriate use of Artificial Intelligence with plagiarism in its outcome table, with a standard outcome of mark reduction up to and including zero for the assignment.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Ashoka University's Academic Integrity Policy applies to students doing coursework, research, thesis work, partner-university coursework, study-related internships or placements, and work with University Centers; it expects original work, source acknowledgement, independent assignment completion where applicable, and honesty during examinations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

In the Ashoka University course catalogue entry for Economy, Politics and Society (FC-0412-5), the course-level AI/ML policy discourages use of machine-learning tools such as ChatGPT in that class and asks students who use such a tool to declare its use and specify the extent of use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Ashoka University's AI@Ashoka page is an official AI research-initiative page that describes interdisciplinary AI and machine-learning projects; it is not presented in the extracted text as a student AI-use policy, assessment rule, or approved-tools policy.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For ACU coursework students, unauthorized or undisclosed use of generative AI, paraphrasing or translation tools is listed as academic misconduct unless use is authorized in the assessment requirements and properly acknowledged.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Australian Catholic University has an official AI principles policy for teaching, research and research training that applies to University Members, staff and students.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

ACU's AI principles say AI must supplement rather than replace human decision-making, with humans retaining responsibility, and require privacy risks to be assessed and mitigated for AI-related activities.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Bilkent advises students to check course syllabi and instructors for whether and how GenAI tools may be used in specific courses or assignments.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Bilkent's GenAI guideline says students should attribute AI-generated content and should not submit AI-generated content without proper attribution.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Bilkent's GenAI guideline tells students not to use GenAI when a professor has not explicitly allowed it in the course syllabus.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Brown OIT guidance says Google Gemini Chat and NotebookLM are accessible at no cost to Brown and can be used with data classified as Risk Level 3, unlike consumer AI services named on the page with which Brown does not have agreements.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Brown Provost guidance says any unapproved use of AI to complete assignments would be covered by Brown’s Academic Code and Graduate Student Edition Academic Code.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Brown University Provost guidance says the University is not prescribing specific AI policies, and that faculty should give clear, unambiguous information about what AI use is and is not allowed in their courses.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Cardiff University's public library guidance tells students to check module or course guidance and the University's student AI guidance before using any AI tool to support assessed work.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Cardiff University's 2025/26 Academic Regulations and Policies include a teaching, learning and assessment expectation that providers establish communicated approaches to technologies such as Generative Artificial Intelligence and define misuse of those technologies.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

A Cardiff Learning and Teaching Academy post says students are encouraged to complete Cardiff's Academic Integrity module and that the module includes generative AI content in the context of academic integrity.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Carleton identifies Microsoft Copilot as its only approved GenAI platform because it offers Enterprise Data Protection and has completed the university's Data Protection Risk Assessment process.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Carleton guidance says using AI tools to generate assignment content and presenting it as one's own work, or copying or paraphrasing AI-produced content without proper citations and instructor consent, is considered a violation of academic integrity.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Carleton instructor guidance says confidential, sensitive, or institutional data should use only Carleton-approved AI tools, and discourages adopting third-party tools that have not been cleared for privacy and security by the university.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For Case Western Reserve University School of Medicine medical students in the University and College Programs, submitted or presented content must be the student's own work and not the product of generative AI or other individuals.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

CWRU Provost classroom guidance gives faculty members discretion over the extent to which students may use AI tools in their courses.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

CWRU's Writing Program does not recommend AI detection services and prefers classroom expectations, assignment design, and discussion with students when concerns arise.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Chiba University's guideline says each course instructor judges whether generative AI use is consistent with class objectives and may prohibit or restrict generative AI use where it would significantly undermine achievement of educational objectives.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Chiba University's teaching-and-learning guideline says the university does not uniformly prohibit generative AI use in teaching and learning and promotes learning about, with, and aside from generative AI according to purpose.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Chiba University's guideline says that when instructors prohibit or restrict generative AI use in a class, they should clearly state that in the syllabus or other course handouts and explain the reason to students.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

China Medical University's Academic Affairs guidance cautions teachers and students to pay attention to privacy and information security and avoid entering personal or other people's private information into generative AI tools.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

China Medical University's Academic Affairs generative AI teaching guidance asks instructors to communicate with students about course-specific ways and limits for using generative AI.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

China Medical University's Academic Affairs guidance tells teachers and students to consider academic-ethics concerns before using generative AI and to avoid plagiarism and copyright violations in assignments, exams, and research papers.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Chonnam's generative-AI writing assignment guideline tells instructors to state in the syllabus whether generative AI is allowed and, when allowed, to explain scope, misconduct criteria, the ethics pledge, and checklist use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Chonnam's generative-AI writing assignment guideline identifies improper AI uses that can constitute misconduct, including submitting copied AI output without attribution, patchworking AI output without attribution, using AI to create or spread false information or experiences, infringing copyright or intellectual property, and using AI in a class where it is fully prohibited.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Chonnam National University announced that it would provide eight generative AI services free of charge to all faculty, staff, and enrolled students.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Chung-Ang University has an official Korean-language generative AI guidance page, established on 2023-04-20 and revised on 2024-04-09, administered by Library & Academic Information Services.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

CAU recommends that instructors choose one of three generative AI use options and state the selected approach in the syllabus.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

CAU's guidance frames generative AI course use as instructor-selected options: complete ban, use with prior instructor approval or citation, or full permission.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Chungnam National University's learner guide states that not following syllabus or instructor-agreed generative-AI criteria, or inappropriate AI use, may be regarded as cheating; examples include presenting AI answers as one's own, failing to disclose AI use, or using AI in a class where it is fully prohibited.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Chungnam National University's learner guidance says learners should follow instructor-provided generative-AI criteria, use AI as a learning support tool, verify AI outputs against reliable sources, and clearly mark the source, generation method, and scope of AI-generated materials.

Evidence records: 2. Original evidence remains canonical on the linked university record and public JSON.

Chungnam National University's instructor guidance says that when generative AI is used in class, instructors should state its purpose and scope in the syllabus, explain correct use and standards for cheating or plagiarism, and guide students to cite AI-generated outputs.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For bachelor and follow-up master study at CTU, AI-tool use in fulfilling programme and subject requirements must be clearly defined and described and must comply with the relevant programme, subject, and thesis-ethics rules.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

CTU's AI framework identifies sharing sensitive research data, personal data, and contractually concealed data with AI tools as significant cyber risks and states that AI cannot keep confidentiality or protect personal data.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

CTU's AI framework marks AI use for examinations, tests, and homework as not appropriate for students unless teacher instructions or the assessment design clearly allow it.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

ECU's academic-misconduct guidance states that plagiarism includes unacknowledged use of a generative artificial intelligence tool such as ChatGPT.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

ECU Library guidance says students who use generative AI as a study or research tool must acknowledge that use in their assessment, and that not giving credit to GenAI tools counts as plagiarism.

Evidence records: 2. Original evidence remains canonical on the linked university record and public JSON.

Edith Cowan University has a public Artificial Intelligence Framework intended to empower staff and students to use AI productively and ethically, with ethical principles and responsible-use guidance rather than a standalone prohibition.

Evidence records: 2. Original evidence remains canonical on the linked university record and public JSON.

TU/e allows AI tools as aids for general study and teaching functionalities unless an examiner explicitly forbids them, while keeping students and staff responsible for submitted work and educational activities.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TU/e does not permit automated decision-making or grading based on a GenAI model without human oversight over the assessment process.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TU/e's public Education Guide identifies the AI Rules_TUe.pdf as outlining the key policies for AI use in students' studies.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

EPFL requires students to disclose the use of AI tools in assessment work. EPFL rules (Lex 1.3.3, Article 4) require that all assessment material that is not the student's personal and original contribution must be recognizable as such.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

EPFL recommends that teachers make explicit to students what AI use is not legitimate in a course and what rules accompany AI tool use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

EPFL considers the use of AI-generated content in assignments without proper attribution as AI plagiarism. Tools that detect AI-generated content are not admissible as stand-alone evidence of AI plagiarism due to high risk of false positives.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Flinders states that students are responsible for using AI consistently with University, course, topic, assessment, and academic integrity requirements, including acknowledging generative AI use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Flinders' student academic integrity page states that misusing AI tools includes using tools such as ChatGPT, Gemini, or DALL-E without topic coordinator permission and without appropriate acknowledgement or citations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Flinders provides staff with AI assessment scale template instructions that range from no AI permitted through prompted, assisted, task-completion, and full AI use, with acknowledgement expectations attached to permitted use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

FAU describes its AI-in-teaching guidelines as orientation and inspiration and states that they do not have Satzungscharakter; teaching and exam-related rules remain part of the individual study and examination regulations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

FAU guidance says instructors are responsible for clear AI-use rules in teaching activities, especially exams, and that students must disclose generative AI use according to the relevant course rules.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

FAU's AI-in-teaching guidance says examiners must individually determine and announce whether and how AI-supported aids may be used, and students must disclose the aids used.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TU Graz treats AI tools in examinations as unauthorized aids unless they are explicitly permitted, and the public teaching page says unpermitted AI use in assessment can make an examination attempt invalid due to cheating.

Evidence records: 2. Original evidence remains canonical on the linked university record and public JSON.

TU Graz says teaching staff decide whether and which AI-supported tools may be used in each course or thesis, with only spell-checking, translation, and stylistic-grammatical improvement generally permitted for students absent broader authorization.

Evidence records: 2. Original evidence remains canonical on the linked university record and public JSON.

TU Graz guidance requires transparent labelling of AI-supported tool use where applicable and cautions against entering personal, confidential, trade-secret, or NDA-protected data into AI applications.

Evidence records: 3. Original evidence remains canonical on the linked university record and public JSON.

Griffith's academic integrity page states that uncited content created using generative artificial intelligence software is conduct that always constitutes Academic Misconduct, and that representing AI-generated assessment content as a student's own work is Academic Misconduct.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Griffith eResearch guidance says ChatGPT, Claude, Gemini, Grok and other AI chat tools are not individually approved, but may be used for research purposes involving Public Data only, and says DeepSeek is banned at Griffith University.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Griffith's student generative AI guidance warns that many open or public tools do not guarantee confidentiality and advises users not to enter personal information, information about others, or course materials such as assessment tasks or marking rubrics.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

When generative AI is used to assist with grading submitted assignments, Hokkaido University's notes warn faculty not to enter students' personal or private information because entered data may be stored and output to other users.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For student use, Hokkaido University's notes say students preparing reports and other assignments should follow the instructor's guidance and instructions regarding generative AI use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For faculty use, Hokkaido University's notes say instructors should explain in advance whether generative AI is permitted in class and how it is restricted, and should consider grading fairness when students use it in assignments or practical learning.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

HKMU's student generative-AI guidelines say inappropriate AI use, including use without proper acknowledgment or in violation of course guidelines, will be treated as academic misconduct.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

HKMU's student generative-AI guidelines require students completing assignments to submit an OLE declaration indicating whether generative-AI tools were used and, if used, which tool was used and how it contributed.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

HKMU's generative-AI guidelines say students have access to the ChatGPT Web Portal powered by Azure Open AI for teaching, learning, research, and work-related purposes, with usage monitoring and possible quotas.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Illinois Tech publishes official Academic Affairs guidance on academic honesty and generative AI, and related Center for Learning Innovation resources for teaching and learning with AI.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Illinois Tech's Academic Affairs guidance ties permitted use of generative AI or other outside resources to each course's learning objectives and syllabus expectations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Illinois Tech's Center for Learning Innovation asks faculty to provide clear syllabus expectations for AI use and provides suggested syllabus language for no, some, and significant AI use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For IIT Madras BS Degree program assignments, including any course or OPPE, the Honour Code says students are expected to produce original work based on individual understanding, and using LLMs such as ChatGPT or Gemini to generate any portion of code is considered plagiarism.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The IIT Madras BS Degree Honour Code says use of LLMs without explicit permission is a violation of the honour code.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The IIT Madras BS Degree Honour Code applies to participation in the IIT Madras BS Degree program and says participants must agree to the Honour Code and any additional course- or program-specific terms posted on study.iitm.ac.in/ds.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Institut Polytechnique de Paris's 2025-2026 Master programs academic regulations prohibit the use of generative AI in assessments for those programs unless explicitly authorized by the instructor in written instructions. Unauthorized use constitutes academic misconduct.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Le règlement des études 2025-2026 des masters de l'Institut Polytechnique de Paris interdit l'utilisation de l'intelligence artificielle générative dans les évaluations de ces programmes, sauf autorisation explicite de l'enseignant dans ses consignes écrites. Tout manquement est considéré comme une fraude.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Under Institut Polytechnique de Paris's 2025-2026 Master programs academic regulations, when generative AI use is explicitly permitted by an instructor, students must clearly acknowledge its use in accordance with standard citation practices.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Jouf University says its University Council approved adding an "Artificial Intelligence" course as a basic course in the study plans for all students, starting in academic year 1447 AH.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Jouf University says the adopted AI course gives special attention to ethical and social aspects, including algorithmic bias, privacy, data protection, and legal and regulatory challenges linked to AI technologies.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Jouf University's adopted AI course is described as covering machine learning, deep learning, natural language processing, and computer vision through interactive lectures, dynamic discussions, and real case studies.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Keio University says students need to clearly indicate when reports or similar assignments are created using generative AI.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Keio University says generative AI is not permitted for class assignments or exams when students are required to work independently.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Keio University tells students to use generative AI appropriately under the relevant faculty or instructor policy when a course, faculty, graduate school, or instructor encourages or permits its use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Kingston University's 2025/26 Academic Integrity procedure defines unacceptable use of generative AI as presenting AI-generated content as one's own without proper acknowledgement, except when the assessment brief explicitly permits it.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Kingston University's AG2 guidance says that if generative AI is used as part of the editorial process, the student must acknowledge that use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Kingston University's 2025/26 Academic Integrity procedure says contributions by artificial intelligence tools must be properly acknowledged.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For teaching, Kuwait University's GenAI policy says faculty are free to set classroom GenAI policies and should include an AI-use section in the syllabus.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

When faculty permit student GenAI use, Kuwait University's policy says faculty may require students to identify the GenAI tools used, the assignment parts generated or assisted by GenAI, and the prompt used for each part.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Kuwait University's GenAI policy says faculty may use GenAI to create classroom materials, but should always verify GenAI results when grading projects, homework, or exams because GenAI might not be accurate or fair.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Maynooth University student GenAI guidance says using GenAI in an assignment beyond what is permitted is a breach of academic integrity, including plagiarism.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For Maynooth University assessments, the student GenAI guidance states that if teaching staff or department guidelines do not clearly indicate GenAI use, no GenAI is permitted.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Maynooth University student GenAI guidance says GenAI tools will not be used by staff to grade or provide feedback on students' assessed work.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Middlesex guidance tells students to consult their module tutor before using AI for studies or assignments and says submitting AI-generated work as their own is a breach of academic integrity.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Middlesex states that generative AI tools may be used in assessments only as specified by the module leader, and allowed use requires written acknowledgment, extent of use, generation details including prompts, and citation or referencing where generated material is not adapted.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Middlesex guidance says assessment criteria should make clear when and how students can use AI for each assessment, and how to acknowledge AI use appropriately.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Nagasaki University's student notice prohibits diverting content obtained from generative AI into reports or degree theses, and says instructors may impose strict measures such as a zero grade for violations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Nagasaki University's student notice warns that entering unpublished papers or confidential information, including personal or privacy information, into generative AI may cause unintended information outflow or leakage.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Nagasaki University's student notice tells students to pay careful attention to listed risks and follow the course instructor's instructions for generative AI use in classes and similar settings.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

NYCU's Academic Ethics and Research Integrity Office maintains an official page listing three university GenAI documents: a basic-position and teaching statement, teacher teaching suggestions, and research-use reference guidelines.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

NYCU's GenAI statement tells teachers and students to pay attention to privacy and information security when using GenAI for teaching or learning, and to avoid entering their own or others' private information.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

NYCU's teacher guidance recommends that course syllabi state GenAI use rules so students know whether AI may be used as a learning or assignment-completion aid and how that use affects grading.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

NJIT says that if students have not received explicit instructor authorization to use AI, submitting AI-generated work may constitute a violation of the Code of Student Conduct and Academic Integrity policies.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

NJIT guidance says instructors have autonomy to develop course-specific AI policies, and students should check the syllabus and ask the instructor when unsure whether generative AI use is permitted.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

NJIT says university-wide licensed AI tools go through a security and data vetting process within Information Services and Technology, and departments or instructors seeking an AI tool are recommended to contact IST for vetting assistance.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Osaka University's TLSC guidance says generative AI output is not always accurate and that fact-checking generated information must be performed by people.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Osaka University's TLSC assessment guidance says instructors need to choose assessment methods that respond to generative AI, share precautions with students in advance, and clearly state permitted and prohibited AI tool use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Osaka University's student-facing message says that merely creating outputs with generative AI does not deepen learning and asks students to value each process of learning.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Penn State guidance tells users not to use free personal AI accounts for Penn State-related teaching, learning, research, or work and never to input Level 3 or Level 4 information into any AI tool.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Penn State guidance says AI tools used by multiple people in a class, program, or administrative office require an accessibility review before use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Penn State says instructors need department head and dean approval, or appropriate commonwealth campus academic leadership approval, before requesting AI-assisted grading software.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

PUCP's Estudios Generales Letras says its generative AI manual is intended for its own students, teachers, pre-docents, and authorities to guide use, unify criteria, and orient behavior in the educational context.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

PUCP's Estudios Generales Letras says it needed its own generative AI manual to guide use and orient ethical and critical behavior by students, teachers, pre-docents, and authorities in the unit.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

PUCP's Estudios Generales Letras describes its generative AI manual as an academic first version that will not answer every question or resolve all course situations in EEGGLL.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

PNU students must uphold academic integrity when using generative AI, follow instructor guidance, acknowledge allowed AI use, and not claim AI-generated work as their own.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

PNU's Generative AI Use Policy applies across PNU degree programs and to PNU faculty, researchers, students, administrative staff, and teaching, learning, research, training, development, and administrative activities.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

PNU faculty must disclose whether generative AI may be used in a course, include course-level guidelines on permissible and non-permissible uses, and include assignment disclaimers about appropriate and inappropriate generative AI use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Purdue teaching guidance says instructors should determine and tell students when AI use is authorized or unauthorized; authorization is determined at the course level.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Purdue teaching guidance warns that an AI-detection positive result should not be the sole determining factor for an academic-integrity violation and subsequent consequences.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Purdue teaching guidance says instructors should commit to never sharing personally identifiable student information with third-party AI tools.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

QUT's Academic Integrity Policy treats unauthorised or inappropriate technology use as a breach when it replaces or obscures a student's own effort, misrepresents authorship or understanding, or undermines assessment validity.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

QUT's Assessment and Feedback Procedure requires unit outlines to include a statement about the use of technology such as artificial intelligence tools in assessment-item descriptions.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

QUT student guidance says a unit coordinator will tell students whether GenAI can be used in preparing or completing assessment tasks.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Royal Holloway academic misconduct regulations list requesting or engaging an artificial intelligence tool to write or rewrite work for unfair advantage, and presenting AI-generated content as one’s own unless authorised and acknowledged, as examples of assessment offences.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Royal Holloway requires students to include declaration statements for generative AI use or non-use, and says a list of all prompts entered into any large language model must be provided.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Royal Holloway tells Foundation, undergraduate, and postgraduate taught students that module assessment briefs take precedence for AI use; if a brief says AI is not permitted, students must not use it and must declare any AI use clearly and honestly.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

RWTH states that students have been able to use RWTHgpt since December 11, 2024, with no separate role or activation necessary.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

RWTH's scenario catalog states that assessment of examination work using AI systems is not permissible at the present time, while limited help drafting feedback may be conceivable if it gives the AI no decision-making role, transfers no personal data, and is finally checked by humans.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For teaching contexts, RWTH's scenario catalog says students should not be required to use registration-required services that are not offered by the university, and it recommends using only services provided by RWTH.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Saarland University guidance says unauthorized use of generative AI in coursework or examinations, or failure to document it when required, is deception and may invalidate coursework or examinations and, in serious cases, lead to loss of examination entitlement.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Saarland University guidance says using generative AI as an aid for coursework and examinations is generally allowed, but instructors or examiners may restrict it to certain functions or prohibit it entirely.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Saarland University guidance says generative AI should have the status of an aid and must not replace students' own work; assessment requirements should ensure significant student contribution.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Shanghai University's technology ethics notice states that university units and individuals conducting AI, big-data, and related teaching or research activities involving people, animals, or other technology-ethics matters should apply in advance for ethics review related to technology safety, including bioinformation security and data security, and may proceed only after approval.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Shanghai University's Qianxue Baike AI Smart Platform includes an AI teaching page with AI literacy, AI+ course, and AI practice sections and lists generative AI, prompt engineering, LLMOps, AI ethics, and large-model application learning resources.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Shanghai University's academic committee meeting report says the draft temporary generative AI use guide was intended to guide responsible use of generative AI tools in teaching and research, uphold academic integrity, protect data security, and support AI-enabled education reform.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Southeast University's Graduate School opened 2026 school-level applications for AI-enabled graduate education projects in three categories: AI+ graduate courses, AI-enabled graduate teaching reform research projects, and AI-enabled graduate education application scenarios.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For AI+ graduate course project applications, the Graduate School notice says proposed course content must comply with national laws, policies, correct orientation requirements, confidentiality restrictions, and intellectual property requirements.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The 2026 Graduate School notice says AI-enabled graduate education application-scenario cases should show AI's value in graduate training and should follow AI-related usage norms to ensure safe application.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Stockholm University's AI resources page says employees signed in to Microsoft 365 with a university account have data protection for Copilot, but it also says information at confidentiality level 3 or 4 should not be entered into Copilot.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Stockholm University's central chatbot guidance recommends that teachers and examiners decide what AI-chatbot use is allowed or impermissible, noting that this may differ from course to course.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Stockholm Business School says use of generative AI in examinations or mandatory assignments is prohibited unless explicitly allowed in the study guide or examination instructions.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TalTech tells lecturers to explain acceptable AI-based software use in assessment, teaching, learning, and homework, and course-level permission or prohibition should be specified in the extended syllabus.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TalTech says substantive AI output must be cited or described as a method, and learners remain responsible for accuracy, quality, analysis results, and references.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TalTech permits AI technologies in teaching and learning only when they comply with personal data processing, data privacy, and cybersecurity regulations and their use does not violate regulations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Tampere University tells students to openly and transparently acknowledge AI use in assignments, coursework, or theses and to describe how AI was used.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Tampere University generally permits students to use generative AI applications to support learning and assignment completion, while allowing teachers to set course or assignment principles.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Tampere Universities provide Copilot Chat with TUNI ID for staff and students aged 18 or older and distinguish it from less secure free consumer AI chat services.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

DTU's exam-cheating rules state that use of AI such as ChatGPT or similar artificial intelligence, where the program writes or solves a task, is plagiarism if no source reference is made.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

DTU states that it permits generative AI in teaching and open-internet exams, while current exam use is limited to selected courses and exams.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

DTU Library guidance says generative AI use in project reports and final project assignments must be distinctly declared, including how it was used.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TU Berlin examination guidance states a general documentation duty when AI is used for assignments: students should identify the tools, extent, purpose, marked AI content, prompts, and their own contribution.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TU Berlin's living AI guidelines say fully automated assessment of study or examination performance is not permissible; AI output may not be adopted one-to-one and digital tools such as AI may serve only as aids.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TU Berlin's ChatGPT Edu pilot page describes scoped institutional access: the pilot began with Faculty VII, lists EU-server use, TUB-account/pseudo-ID login, and research/teaching/administration use, and says the licenses were extended with all faculties participating and 790 licenses total.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For student assessment, TU Dublin guidance says generative AI can only be used in ways approved in advance by the lecturer, and that failure to follow the guidelines or inappropriate AI use may result in disciplinary action as a breach of academic integrity.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TU Dublin recommends using the Artificial Intelligence Assessment Scale when designing assessments and communicating with students about how generative AI may be used in a specific assessment.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

TU Dublin's GenAI teaching and learning guidance says personal data should not be entered into GenAI systems that are not supported or approved by the University, and that students should not collect, store, or upload personal data to a GenAI system without permission or consent.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Texas A&M Technology Services describes TAMU AI Chat as a secure, university-approved platform open to all students and employees, with support for content classified as University-Confidential or lower.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Texas A&M guidance says generative AI users must acknowledge nontrivial AI-generated content and avoid plagiarism, while faculty should provide clear course instructions about permissible AI uses.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Texas A&M presents AI Use Categories as a starting point for student-instructor conversation, not as a one-size-fits-all policy or replacement for instructor judgment.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For assessments, UON's GenAI teaching, learning and assessment policy says students should follow teaching-staff directions about GenAI use and appropriately disclose and reference GenAI use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UON's GenAI teaching, learning and assessment policy says use of GenAI in assessment does not automatically constitute academic misconduct, but may do so where lecturers or course coordinators have explicitly prohibited it.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UON's GenAI teaching, learning and assessment policy says GenAI should not be used to mark student work unless the output is reviewed and approved by the course marker or coordinator, and any GenAI marking use must be clearly communicated with an opt-out opportunity for students.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Tsinghua University prohibits students from directly copying or mechanically paraphrasing AI-generated text, code, or other output and submitting it as academic coursework.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Tsinghua University affirms that AI must remain an auxiliary tool and that teachers and students are the primary agents in teaching and learning (principal responsibility principle).

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Tsinghua University advises instructors to determine how AI should be used according to course objectives, clearly explain AI usage norms to students at the start of each course, and remain responsible for AI-generated teaching materials.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UdeC's [genIA] ethics page presents institutional guidelines and interactive tools for deciding how to incorporate generative AI in teaching and research while safeguarding transparency, authorship, privacy, and equity.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The [genIA] teacher annex presents three orienting institutional template options for course or assignment instructions: generative AI allowed with conditions, restricted by stages, or prohibited except with explicit authorization.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The [genIA] teacher annex suggests including a 'Declaracion de autoria humana y uso de tecnologias digitales emergentes como la IA Generativa' section in each assignment or academic activity submission.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The Biotechnology bachelor's thesis guideline says that if a student used AI tools at any stage of thesis writing, the student is required to explicitly declare the tool, version if available, date, and nature of use in a methodological note.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The Biotechnology bachelor's thesis guideline says students should not insert automatically generated scientific text into the thesis, replace bibliographic research with AI, or use AI-generated text without critical and personal reworking.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The Biotechnology bachelor's thesis guideline says non-compliance with its AI-use indications is treated as comparable to plagiarism and may lead to disciplinary sanctions under the university regulation.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

URV's student guide treats AI use in coursework as valid and recommended when it supports learning, while telling students to use it with teacher consent, declare its use, cite it, and verify AI-generated information.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

URV's assessment guidance warns about academic-fraud concerns from AI but advises evolving assessment design rather than relying on AI-detection tools.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

URV's curriculum guidance says AI should be integrated into the curriculum to prepare students for professional contexts, including discussion of ethical and social implications such as data protection and academic integrity.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Université Laval guidance says AI-use expectations should be stated in the course plan and clarified in assessment instructions when AI use is authorized.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Université Laval guidance says using AI tools is not automatically an academic offence, but unauthorized use may constitute an academic offence under the student disciplinary regulation.

Evidence records: 2. Original evidence remains canonical on the linked university record and public JSON.

Université Laval publishes five AI principles for teaching and learning that are derived from its mission, vision, and values.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Where a coursework item has no specified GenAI policy, UTB's guidance treats GenAI content generation as third-party assistance and says the assistance must be explained, declared, and referenced to avoid plagiarism.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Universiti Teknologi Brunei has a Senate-approved GenAI guidance section for UTB students' usage in module assessments in its Student Report Manual.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For UTB module assessments, the GenAI guidance says the lecturer will specify the permitted level of GenAI usage for each coursework item.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For UCC taught-programme assessments, academic integrity is breached if students submit GenAI products as their own work without acknowledgement and without authorisation to use GenAI for the task.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UCC's academic integrity policy says the University does not sanction use of GenAI detection software for detecting or investigating alleged academic misconduct.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UCC's Academic Integrity for Examinations and Assessments Policy applies to work presented or submitted by registered students for examination, assessment, or credit in taught programmes.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UCD's faculty AI guidelines say a module descriptor must clearly state whether student AI use is permissible in the module and under what conditions.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UCD guidance directs staff and students toward institutionally supported AI tools that meet University privacy and IT security standards, and warns against entering personal data into external or non-UCD licensed tools.

Evidence records: 2. Original evidence remains canonical on the linked university record and public JSON.

University College Dublin publishes University Management Team-approved AI Governance Principles for institutional AI use, including human oversight, fairness, transparency, compliance, ethical design, AI literacy, stakeholder engagement, and risk assessment.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Amsterdam has a policy framework for Generative AI in education that provides central guidelines for responsible use of GenAI based on scientific integrity, with room for faculties and programmes to translate the policy into their own educational practice.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

At the UvA, both the Netherlands Code of Conduct for Research Integrity and the European Code of Conduct for Research Integrity apply, which outline the principles and standards for integrity in research and teaching.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Amsterdam is developing its own AI chat environment called UvA AI Chat, which is similar to ChatGPT but is fully self-managed and specifically designed for UvA students, lecturers and staff.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Bergen recommends that students and staff use Microsoft Copilot or UiBchat because UiB says these options give the user and UiB control over submitted prompts.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Bergen says ChatGPT can only be used for green data and UiBchat can be used for green and yellow data.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Bergen tells teachers they cannot require students to use services for which UiB does not have a data processing agreement.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

PGR students at University of Bristol are not permitted to use generative AI tools such as ChatGPT to write any text used in their thesis or APM reports, as research degree students must demonstrate ability to write about research in their own words.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Bristol considers the use of AI or translation tools to be cheating if used for more than generating the occasional short phrase within a sentence or checking basic grammar and spelling, unless assessment instructions allow more comprehensive use.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Bristol has published official guidance on generative AI use in taught degree programmes, stating that generative AI should not replace activities that develop intellectual rigour, student agency, and students' capacity to work through complex problems themselves.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For graduate studies, the Faculty of Graduate Studies guidelines say students should obtain written, unambiguous authorization before planned GenAI use in graduate work, and students must disclose GenAI use in graduate study work.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Calgary teaching-and-learning guidance supports the use of generative AI in teaching and learning, while saying individual educators and instructors should decide if and how it is incorporated and clearly communicate student expectations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Calgary teaching-and-learning guidance says student, faculty, and staff use of generative AI should adhere to existing academic integrity policies, and instructors using generative AI must follow privacy laws for student data.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UCLA Academic Senate guidance quotes the Student Conduct Code requirement that submissions must be the student’s own work or clearly acknowledge the source, and says that unless an instructor indicates otherwise, use of ChatGPT or other AI tools for course assignments is akin to receiving assistance from another person.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UCLA DTS guidance says users may not input FERPA-protected student information, HIPPA/HIPAA-protected health data, employee personnel/performance data, unpublished research/IP/grant proposals, or export-controlled or restricted data into AI tools unless explicitly approved in a secure environment.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UCLA DTS AI guidance lists a subset of available generative AI tools including Microsoft Copilot and M365 Copilot, Google Gemini, OpenAI ChatGPT Enterprise, Google Notebook LM, AWS Bedrock models, and Zoom AI Companion.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Denver University Writing Program says students should review and abide by instructor policies for assignments before using generative AI technology.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For writing assignments, the University of Denver University Writing Program advises faculty to outline clear policies about when and how generative AI can or cannot be used and to include instructions for acknowledging assistance.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Denver Office of Teaching and Learning advises faculty to state clear expectations for student work and to consider syllabus statements explaining whether and how AI tools can be used.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UEA's plagiarism and collusion policy permits AI to help students understand material and expression, but says using AI to complete an assessment, or part of it, is plagiarism and may reach contract cheating.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UEA's teaching and learning policy does not prohibit generative AI use, and says each School of Study should meet at least annually to discuss generative AI's impact on assessment design and set School-level expectations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UEA's research and innovation policy requires a self-assessment process when generative AI will be used, built, or developed in UEA research, subject to listed exceptions.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For teaching purposes, the University of Florence guidance says personal or confidential data must never be supplied or disseminated through prompting, file uploads, or credential sharing.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Florence guidance says students may use AI only for purposes and modes explicitly indicated by the instructor for the course activity; if the instructor gives no indication, AI use for the required course activity is not permitted.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Florence has issued AI guidance for teaching and study activities, with the rectoral decree stating that the guidance is emanated and the governance extract recording favorable action on adoption.

Evidence records: 2. Original evidence remains canonical on the linked university record and public JSON.

University of Galway's QA220 Academic Integrity Policy identifies submitting all or part of an assessment item produced using artificial intelligence and claiming it as one's own work as an example of academic misconduct.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Galway's Academic Integrity FAQ says students should not present generative AI tool output as their own work in any assignment, while limited preparatory use may be permitted by an instructor if generated outputs are not presented as the student's own work.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Galway's Academic Integrity Office guidance for DSS-related literacy software says excessive or irresponsible use of GenAI-powered literacy software may constitute a breach of academic integrity and advises students to use only DSS-approved literacy software versions.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Gothenburg student guidance says the university does not prohibit generative AI in education; teachers and examiners decide whether, when, and how it may be used in coursework and examinations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Gothenburg student guidance says generative-AI guidelines vary between courses, programmes, departments, and faculties, and that teachers and examiners are responsible for communicating those guidelines to students.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Gothenburg student guidance on cheating says generative AI use counts as cheating when it is used to complete an examination task the student is expected to do independently, to present AI-generated material as the student’s own work, or in other ways prohibited in the course or programme.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Iceland's 2023 framework says existing rules for sources, aids, and equipment in studies apply to AI use, and that misuse of AI in schoolwork is governed by the same rules as other academic misconduct.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Iceland's AI strategy frames AI as a fundamental tool for study, teaching, research, and work, with an aim for students and staff to become responsible users who understand limitations and apply critical thinking.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Iceland student guidance says AI can support study tasks such as organizing work, shaping ideas, practicing understanding, and preparing assignments, but that AI use should support learning rather than replace it.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UIC College of Medicine policy states that students are expected to draft submitted assignments on their own; AI may assist with idea generation and editing, but AI directly authoring a response is considered a violation of academic integrity and professionalism.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UIC College of Medicine policy prohibits students from generating patient care notes with AI applications except EHR-supported applications explicitly permitted by course leadership, and says protected health information should never be entered into outside generative AI tools.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UIC CATE recommends that instructors develop and include an AI usage policy in their syllabus after sharing their stance on AI writing tools in the course.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Illinois Enterprise GenAI guidance for service providers includes security controls, audits, MFA, and data privacy compliance for AI systems and sensitive data.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Illinois Enterprise GenAI transparency guidance says students need to be transparent about AI use in coursework and cite AI tools according to faculty expectations.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Illinois CITL teaching guidance says faculty should define boundaries for AI use in student work and teach citation of AI-generated text and ideas.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Liverpool lists unacceptable uses of generative AI in education, including unreviewed copying of AI-generated content into assessment materials or feedback, using AI for grades or final assessment decisions, uploading protected student or confidential information to public AI platforms without required review, and creating or modifying official policy documents without appropriate review and approval.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Liverpool has a central AI policies and guidance hub that collates generative AI guidance covering golden rules, legal/security/data protection, learning/teaching/assessment, and research.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Liverpool's central GenAI learning, teaching, and assessment page says the University has devised guidance to help academics and students understand its position and make informed decisions on when and how to use GenAI.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Macau has official guidelines on the use of generative artificial intelligence tools for UM academic staff and students.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UM guidance says students should acknowledge GenAI use in assignment submissions and indicate how GenAI was used.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UM guidance says academic staff should include a course policy on GenAI use in syllabi, specifying whether GenAI is permitted, permitted only in certain circumstances or with explicit permission, or prohibited.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The Provost's GenAI syllabus guidance says instructors may allow or prohibit GenAI in courses, and that coursework use requires written instructor permission and may not occur except as explicitly authorized by the instructor.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UMN OIT guidance says University users should safeguard data by uploading only allowed University data into appropriately licensed AI tools, and it distinguishes UMN-licensed tools from an individual ChatGPT license.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UMN Libraries' student guidance says students should check each course syllabus, ask instructors when unsure, keep track of GenAI use, and cite or acknowledge AI-generated material when permitted.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Mississippi CETL syllabus guidance states that there are currently no university-supported AI detection tools.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Mississippi CETL syllabus guidance says each instructor may determine, for their own class, what AI uses are permissible and what AI uses constitute academic dishonesty, and advises instructors to be clear about generative AI use in syllabi and class discussion.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Mississippi Libraries guidance tells students to use and cite AI according to the syllabus, assignment description, or other instructor communication, noting that instructor requirements may vary by class.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Unimore stated that it had purchased ChatGPT Edu licenses under the CRUI-OpenAI agreement and that requested licenses would provide access to the 'Modena e Reggio Emilia EDU' workspace through institutional email.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

Pending university AI-use guidelines, Unimore recommended verifying sources, keeping human control by using AI only as assistance, requesting source citations in prompts, protecting sensitive data, and documenting AI use in proceedings.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

For ChatGPT Edu licenses, Unimore stated that inserted data would not be used to train models and that users remain owners of inputs and outputs.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UNL's Center for Transformative Teaching recommends that instructors create course-specific AI policies and clearly communicate when and how AI use is allowed, if at all.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UNL's CTT academic-integrity guidance says the University of Nebraska currently does not provide AI checking software and does not recommend instructors use AI checkers to determine whether students used AI.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UNL guidance states that using AI or other technology output as one's own work is an academic-integrity infringement unless the instructor gives explicit permission.

Evidence records: 2. Original evidence remains canonical on the linked university record and public JSON.

UNR's Academic Standards policy defines cheating to include unauthorized use of generative AI content generators or generative AI tools.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UNR directs users to initiate an OIT Compliance vendor risk management assessment before integrating an AI tool into daily tasks.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UNR teaching guidance says AI detection tools are not fully reliable and should not be used as the sole determining factor for deciding whether an AI-related academic standards violation occurred.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

The University of Oregon Student Conduct Code's plagiarism definition includes submission of material generated by others, including AI content generators and generative AI tools such as ChatGPT.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

University of Oregon teaching guidance says instructors should have a syllabus policy statement explaining what generative AI use is allowed and disallowed in their course.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.

UO Information Services guidance identifies Microsoft Copilot with Data Protection as UO's most secure generative AI option and cautions users because UO lacks enterprise contracts covering ChatGPT, DALL-E, and most other AI tools.

Evidence records: 1. Original evidence remains canonical on the linked university record and public JSON.