Which universities mention approved AI tools?

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.

Campus AI Sandbox (Beta) 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.

Adobe Acrobat AI Assistant 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.

Anthropic Claude Commercial Account 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.

Azure AI 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.

No generative AI tools, including those licensed by IS&T, are approved for use with High Risk MIT information. Additionally, MIT does not recommend using publicly available GenAI tools not subject to an Institute licensing agreement for MIT research and educational activities, even with Low Risk or Medium Risk information.

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

Use of generative AI tools at MIT must comply with all applicable federal and state laws and orders (including FERPA, HIPAA, Massachusetts Data Protection Standards, export control laws, and the Executive Order on Safe, Secure, and Trustworthy Development and Use of AI), Institute policies (including 10.1 Academic and Research Misconduct, 11.0 Privacy and Disclosure of Personal Information, and 13.0 Information Policies), Information Protection guidelines, and the Institute's Written Information Security Program (WISP), plus any additional policies established by the user's department, lab, center, or institute (DLCI).

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

Adobe Firefly is listed for Massachusetts Institute of Technology (MIT) 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.

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 does not enforce a blanket prohibition on generative AI tools; it actively explores their potential and provides practical guidance.

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.

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.

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.

Microsoft Copilot is listed for UNSW Sydney in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: officially endorsed.

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

UNSW's first key principle for AI in assessment requires staff to be honest and transparent about the use of any AI tool where it would reasonably be expected that use of the tool would be disclosed.

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.

ANU requires that only university-approved AI solutions/software be used to ensure appropriate data governance, information security, and licensing.

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

ANU Law School prohibits using generative AI to draft assessment content; all submitted work must be the student's own independent and original work.

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.

Codex 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.

Google Gemini 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.

Cornell AI Platform is listed for Cornell University 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.

Microsoft Copilot Basic is listed for Cornell 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.

Adobe Firefly is listed for Cornell 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.

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.

Harvard AI Sandbox is listed for Harvard 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.

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.

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.

A high AI score in Turnitin's writing detection report at the University of Melbourne is not proof that academic misconduct has taken place and does not on its own constitute grounds for making an allegation of academic misconduct.

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.

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.

Copilot is listed for University of Cambridge 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.

Copilot for Microsoft 365 is listed for University of Cambridge 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.

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 University has a university-wide Generative AI Policy from the Office of the Provost governing use by staff, faculty, students, and researchers, covering information security, data privacy, copyright, academic integrity, and bias.

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.

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.

For AI-supported marking and feedback, the University says all decisions, outcomes, and feedback must be reviewed by academic staff before release to students, and generative AI tools alone cannot allocate marks and student grades.

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.

Anthropic Claude Standard / Premium is listed for California Institute of Technology (Caltech) 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 365 Copilot for Windows 11 is listed for California Institute of Technology (Caltech) 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 Web is listed for California Institute of Technology (Caltech) 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.

UMD publishes GenAI guidelines that apply to faculty, staff, students, and affiliates using GenAI tools in academic, research, or administrative activities.

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 guidance tells researchers not to input federal, state, or UMD data into externally sourced GenAI tools and not to upload unpublished research data or other confidential information into tools that have not undergone proper review.

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

SNU's AI Guidelines do not uniformly restrict or prohibit AI use; they establish standards to support rational judgment and ethical, creative use based on autonomy and trust.

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

SNU requires instructors to communicate AI tool usage policies (permitted/prohibited scope and reporting methods) through syllabi, and students must comply.

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

SNU Library cites COPE's position that AI tools cannot be listed as authors because they cannot take responsibility for research results and lack legal personality.

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 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.

The University of Auckland TeachWell two-lane assessment guidance says the University does not endorse third-party AI detection tools, citing unreliability, false positives, and possible student-data training risks.

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.

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.

Do not enter personal information into any generative AI tool that has not been through UBC's FIPPA compliance assessment (PIA), as to do so may be a breach of privacy.

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

UBC recognizes generative AI as a tool to assist in tasks, not a replacement for human creativity and judgment, and encourages experimentation within ethical and responsible use boundaries.

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

UC Davis guidance says users should not enter sensitive UC Davis data, including student, personnel, patient, confidential research, or financial account information, into AI tools.

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

UC Davis guidance tells UC Davis and UC Davis Health community members to use UC Davis-approved AI platforms, or UC Davis-developed tools, for university work.

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.

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.

For exams, FU's Eckpunkte state that using AI tools that are not expressly permitted is treated as unauthorized aid or deception about independent performance; when AI tools are permitted, their use must be marked and documented.

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

Purdue requires prior approval before Sensitive or Restricted Data is entered into AI tools, including training or testing AI tools.

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

Purdue requires a New IT Solutions and Services Review for AI tools not already on the approved AI tools list, whether developed externally or internally.

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

Purdue's AI Use policy treats AI tools and university data used with them as IT Resources and Information Assets subject to Purdue acceptable-use and security/privacy policy controls.

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.

StudySkills@Sheffield guidance says GenAI detection tools are not used at the University of Sheffield because of error-rate and false-positive or false-negative concerns.

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

IT Services productivity principles say only University-approved AI tools should be used for official University business, and staff have access to Google Gemini as the institutionally supported GenAI tool.

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

IT Services productivity principles say AI use must comply with GDPR and University data-protection policies, and sensitive or confidential information must not be entered into public or unregulated AI models.

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 Academic Integrity Policy 2022 states students may only use assistance, including automated writing tools, if the unit of study outline expressly permits it, and must acknowledge assistance provided when preparing submitted work.

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.

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.

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 guidance says confidential, legally restricted, moderate-risk, and high-risk Yale data should not be entered into AI tools.

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.

ASU's AI tools page says tools not listed on that page are not approved for enterprise use.

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

ASU Research Compliance guidance says not to place any US export-controlled data into any generative AI tools.

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

ASU Provost guidance says data for the described generative-AI teaching support is securely maintained within ASU infrastructure, supporting privacy and transparency.

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

Emory Responsible AI guidance says public-facing AI platforms create disclosure risks for Sensitive Information and directs users to use Emory-approved secure AI tools when handling such information.

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

The Emory College Honor Council AI information sheet says Emory does not currently license an AI detection program, detection tools can produce false positives or negatives, and detection results alone would not ordinarily be sufficient to find a student responsible for a violation.

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

Emory Responsible AI guidance says students must review course syllabi, program handbooks, and faculty expectations regarding AI use because instructors may specify whether tools such as ChatGPT, Grammarly, or other generative technologies are permitted for assignments and under what conditions.

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

King's College London does not ban the use of generative AI tools by students.

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.

Microsoft Copilot is available to all King's College London students via their KCL Microsoft account and comes with commercial data protection under the university's enterprise license.

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 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.

KTH teacher guidance says teachers should remove personal data from material given to generative AI tools and ask students to do the same.

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

Technion CIS says that when users handle personal or confidential information, only organizational AI tools must be used, and personal or confidential information should not be entered into external tools.

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

Technion CIS tells users to always validate AI outputs by reviewing them critically and checking them against reliable human or authoritative sources.

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

Technion CIS describes its AI guidance as applying to the entire Technion community, including academic and administrative staff, teaching staff, students, and visitors operating within the Technion.

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.

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.

The University of Manchester is the world's first university to deploy equitable Microsoft 365 Copilot access and training across its entire community, with 65,000 colleagues and students receiving the full M365 Copilot suite.

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

Copilot Chat is available to everyone with a University of Manchester account. The university has a contractual agreement with Microsoft ensuring prompts and uploaded files are private, protected by the same security and encryption as emails and OneDrive. The AI system does not learn from user prompts or data.

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 CIO implementation guidance says, as a general guideline, AI implementations with expected initial costs over $100,000 or ongoing operating costs over $50,000 should be brought to the IT Council for review and evaluation.

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.

KU official guidance states that the university does not currently have a university-wide policy specific to the use of generative artificial intelligence in teaching and learning.

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

KU data-use guidance says only public information should be entered into public third-party AI tools unless an enterprise-approved protected environment is used.

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

KU data-use guidance says Microsoft Copilot is approved for public, sensitive, and confidential university data only when users sign in with the relevant KU account and Enterprise Data Protection is active; restricted data requires additional consultation or review for KU Lawrence users.

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

USC’s Generative AI General Policy says Internal Use Only, Confidential, and Restricted Confidential Data may not be entered into Individual AI Tools, and Restricted Confidential Data may not be entered into any AI Tool, including USC Enterprise AI Tools, unless the Office of Ethics and Compliance gives written approval.

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

USC’s Office of Academic Integrity says students are expected to confirm with instructors what generative AI use, if any, is permitted in coursework before using it, and that ChatGPT Edu access does not change course policy expectations.

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

USC’s Office of Academic Integrity states that work authored by another, including material created by ChatGPT or other generative AI tools, is considered plagiarism when represented as the student’s own work.

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

UW general GenAI guidance says only UW-approved services and applications may be used with University data.

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

UW Student Life guidance says using AI content generators without instructor permission may violate University academic standards.

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

UW-IT says users must sign into Copilot with a UW Microsoft 365 account to receive the commercial data protection benefit.

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

Bilkent University publishes a central guideline for the responsible use of Generative Artificial Intelligence tools within the Bilkent community.

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.

For education, VUT says copying generative-AI outputs and submitting them as student work is not permitted and will be treated similarly to contract-cheating, while assistant use for information search is permitted when the student independently assesses and uses the information.

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

VUT frames generative AI as an assistant and consultation tool and supports open use within that role, subject to university principles and recommendations.

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

VUT's education recommendations say student work and final theses must state whether generative AI tools were used, and if so, to what extent and for what purpose.

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

Brown OIT guidance says users should not enter Level 2 or 3 Brown data into publicly available or vendor-enabled AI tools unless Brown has a contract for a specific service that protects the data.

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.

CWRU University Technology advises users not to put sensitive university information into an AI service unless CWRU has a vendor contract with appropriate privacy and security safeguards.

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.

TU/e classifies AI-tool use as fraud if submitted work is no longer sufficiently the student's own or if the student has not included a correct statement about the AI use.

Evidence records: 1. 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.

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's generative AI usage guideline tells users not to input personal or sensitive information through prompts or file attachments into AI services outside Keio's corporate contracts.

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 says AI-detection and plagiarism-prevention tools should be used only as supplementary references and not as the sole basis for misconduct findings.

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.

Lund University's Swedish generative AI policy encourages staff and students to explore and use generative AI responsibly and creatively within the stated policy principles.

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 comply with privacy and security laws and that procured tools or existing licensing agreements should be used in the first instance.

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.

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.

McMaster's operational excellence generative AI guidelines tell employees not to upload confidential, personal, personal health, or proprietary information to a generative AI tool unless required security/privacy assessments have been completed, while noting an enterprise Microsoft Copilot exception when logged in with McMaster credentials.

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

Michigan State University's 2025 Guidelines for the Use of Generative Artificial Intelligence serve as MSU's official framework for ethical, responsible, and equitable generative AI use and supersede previously issued AI guidance.

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

MSU guidelines say students may use generative AI tools for coursework or research activities only when the instructor or research advisor explicitly permits that use.

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

MSU guidelines say third-party generative AI tools, especially those operated outside the United States, may be used only with non-sensitive public information unless MSU IT Information Security gives prior approval.

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

NSYSU's student generative AI guidance says students may not use generative AI tools for plagiarism or ghostwriting, cheating on exams, or privacy disclosure.

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

NSYSU's teacher guidance says teachers should not use AI-detection tools as the sole basis for handling academic-ethics violations, and should assess suspected misuse according to academic-ethics rules.

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

NSYSU's student guidance says students may use generative AI tools to support learning activities such as clarifying concepts, editing writing, translating, practicing languages, improving critical thinking, generating inspiration, recommending papers, and improving code.

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.

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 requires prior approval from Head of Department or relevant Deanery before using AI tools to provide instruction, feedback, or marks to students, submitted via an AI Risk Assessment.

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

Rutgers OIT guidance says only Rutgers-approved AI tools should be used at the university to protect university data and ensure appropriate use; Rutgers-approved versions include security and privacy safeguards and do not use Rutgers data to train underlying models.

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.

Stevens AI data-classification guidance treats public data as permissible for AI use, non-public Stevens data as permissible only with licensed AI tools while logged in with a Stevens account, and restricted data as prohibited for AI use.

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

Stevens IT guidance says that, effective May 1, 2025, Fireflies.ai and Otter.ai were disabled from joining Zoom meetings hosted by Stevens users, and strongly recommends not using third-party AI bots in Zoom meetings.

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

Stevens guidance says new AI uses in work should align with Stevens security, privacy, and relevant policies, and should seek prior approval from a supervisor or department chair.

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.

TU Berlin's living AI guidelines say personal data may be entered into generative AI tools only when the operator neither makes the data accessible to third parties nor uses it as training data; confidential information, sensitive research data, and internal documents are not permitted inputs.

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.

LSE states that making generative AI tools available does not endorse unrestricted use, and users should check their specific course, programme, or department policy.

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

LSE research guidance tells researchers not to share personal, sensitive, or confidential data with third-party AI tools unless the tools meet LSE privacy and security standards, and it strongly encourages Microsoft Copilot for privacy and security.

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

LSE requires departments or course convenors to classify authorised generative AI use in assessment as no authorised use, limited authorised use, or full authorised use, and to communicate the position to students.

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.

UPC IT identifies Google Gemini and Microsoft Copilot as UPC institutional generative AI tools that the UPC community can use free of charge and safely from UPC accounts.

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

UPC IT guidance recommends not sending legally protected or confidential data to external AI applications; for non-institutional tools it says not to enter protected or confidential data and to consult ATIC.

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

UPC says it provides staff with institutional AI tools whose use is governed by UPC AI principles and whose data are protected and not used to train AI models.

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 University of Basel AI citation guidelines state that AI tools must always be cited like other tools and sources, and that student papers without complete attribution may be seen as attempted plagiarism or cheating.

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.

UNIGE says students and staff are personally responsible for their use of generative AI and for final validation of work or decisions generated or assisted by generative AI.

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

Within UNIGE's Faculty of Science, sensitive data such as personal data must not be disclosed to a public AI tool that does not guarantee confidentiality.

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.

U-M ITS offers a generative AI platform available to all active U-M faculty, staff, and students on the Ann Arbor, Flint, and Dearborn campuses and Michigan Medicine, with service offerings described as equitable and accessible.

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

U-M requires using approved ITS AI Services for university data. Only data classified as Low may be used with AI services lacking a U-M contract or data agreement.

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

U-M requires that AI-generated computer code is always reviewed by a human, with professionally trained peer code reviews for applications handling Restricted or High data.

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.

UTS states that use of AI systems must comply with its Privacy, Procurement, Information Security, and Acceptable Use of Information Technology Resources policies as appropriate.

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.

UT Austin acceptable-use guidance says published university information may be used freely with AI tools, while controlled or confidential university information can be used only with university-managed AI tools covered by contracts that protect university data and disable web search functionality.

Evidence records: 1. 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.

University of Toronto considers use of generative AI tools on marked assessments without instructor permission to be use of an unauthorized aid under the Code of Behaviour on Academic Matters.

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

University of Toronto teaching guidance says Microsoft Copilot is the recommended generative AI tool to use at U of T and, when signed in with University credentials, conforms to U of T privacy and security standards for use with up to level 3 data.

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

University of Toronto School of Graduate Studies recommends that graduate students seek and document unambiguous approval from their supervisor(s) and supervisory committee before using generative AI tools in research, writing, or other scholarly activities relevant to graduate academic milestones.

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

UiT identifies ChatUiT as approved for green, yellow, and red data, Microsoft Copilot as approved for green and yellow data, and Klartekst as approved for green, yellow, and red data.

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.

Waterloo IST tells users to confirm whether an AI tool is listed and approved for the intended type of University data before using it with University data.

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.

UW-Madison publishes an official generative AI use and policies page that says faculty, staff, students, and affiliates must follow UW-Madison, UW System Administration, and Board of Regents policies when using generative AI tools and services.

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

UW-Madison states that sensitive, restricted, or otherwise protected data may not be entered into a generative AI tool or service unless the tool has undergone appropriate internal review.

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

UW-Madison Student Conduct guidance says students are responsible for knowing their instructor's expectations for AI tools and should ask before using AI if permission is unclear.

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

Utrecht University publishes an institutional AI Policy that is endorsed by the Executive Board and University Council and frames Responsible AI across AI systems and tools, not only generative AI.

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

For employees, Utrecht University says it is not permitted to create an AI-tool account using a UU email address or SolisID unless the AI system or tool is university supplied and considered safe.

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.

WashU IT guidance says users should not enter Washington University or secure data, including deidentified healthcare data, into publicly accessible non-protected AI tools.

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

WashU student-facing AI guidance tells students to check the instructor and syllabus about whether and how AI tools may be used for classwork, and says that if no explicit policy is outlined, it is better to assume AI use is banned.

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

WashU CTL student guidance says students should not represent AI-tool output as their own work and should cite AI contributions when using AI tools.

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.

CMU Computing Services guidance says public AI tools should not be used with student data, confidential research, or sensitive administrative tasks.

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

CMU Computing Services lists protected AI tools available at CMU and states that when users sign in with Andrew ID and password, each listed tool is FERPA-compliant and will not use data to train AI models.

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

CMU Eberly Center guidance identifies a growing list of CMU-vetted generative AI tools that are FERPA compliant for teaching and learning when used as instructed.

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 staff guidance says only approved generative AI tools are authorized for handling DISC 2 or higher data.

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

DCU Graduate Studies guidance tells research students not to submit research data, personal data, or sensitive information to free AI tools.

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

DCU Graduate Studies guidance says that, from September 2025, research-degree regulations will require declarations on which generative AI tools were used and how.

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

DCU's AI position statement tells staff to act legally, ethically and transparently, disclose generative AI use for university-related work, and avoid sharing personal, confidential, institutional or strategic data with AI tools.

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

Google Gemini is listed for ETH Zurich 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 is listed for ETH Zurich 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.

NotebookLM is listed for ETH Zurich 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.

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.

For HU employees, the central AI guide says confidential data and non-public research data must not be entered into publicly accessible generative-AI tools, and personal data must be removed or anonymized unless using HU internal CMS AI offerings configured for data protection.

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.

HU Berlin’s recommendations advise documenting student AI use so examiners can account for the tool use during assessment, while leaving the concrete documentation requirement to the relevant subject and examination context.

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.

Microsoft Copilot is listed for Imperial College London 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.

Imperial's dAIsy AI platform uses University SSO authentication with auditing. Prompts and metadata are logged for operational monitoring, and AI model providers are configured not to train on user data. Users' prompts and responses are not used to train external AI models. dAIsy is approved for use with unrestricted data within Imperial's secure infrastructure.

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.

The eLUT AI tools guideline says students must not submit AI-generated text, images, code, or other output as their own, and using AI against teacher instructions or concealing its use may be academic misconduct.

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

The eLUT AI tools guideline says teachers can require students to use Copilot in course assignments and can also prohibit AI use in course assignments.

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

LUT's thesis guidance says AI tools may only support the thesis process, the entire thesis or complete sections must not be done with AI, AI use in a maturity thesis is not allowed, and AI use during the thesis process must be indicated.

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

Lehigh's human-subjects research guidance says use of AI to analyze or process data must be disclosed to participants during consent.

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

Lehigh tells faculty, staff, students, and affiliates that institutional, restricted, or critical data may not be submitted to online systems including generative AI tools.

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

Lehigh says community members who learn of a potential data protection or confidentiality breach through generative AI tools or otherwise are required to report it to the Office of Information Security.

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

Under the Economics Faculty rules, a student who uses AI tools for work must explicitly declare that use and identify the AI model, the parts of the work where AI was used, and the purposes and methods of use.

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

The Economics Faculty rules allow each teacher, within a discipline, to require detailed prompts or restrict AI-tool use up to a full ban, with restrictions recorded in the discipline's rating system and communicated by the first class.

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

Lomonosov Moscow State University's Economics Faculty has Russian-language rules defining general conditions for use of generative AI tools by students and employees in the faculty's educational process.

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

Masaryk University's AI-in-teaching statement says AI use must be transparent and consistent with academic and personal moral integrity, and compares unacknowledged AI use to ghostwriting as a form of plagiarism.

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

Masaryk University guidance recommends using AI applications primarily as auxiliary tools for study obligations and says authors remain responsible for how AI tools are used and referenced.

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

Masaryk University's AI-in-teaching statement advises teachers to state openly when AI-tool use is appropriate in studies, homework, or written work, and to explain decisions not to recommend or to prohibit AI use.

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.

Students should not upload personal, sensitive, copyrighted, or licensed material to AI tools, as many AI tools cannot guarantee privacy, strong data security, or the protection of intellectual property.

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

Monash enterprise systems such as Copilot have enterprise data protections identified under the green shield in Monash Copilot. Students should use their Monash email address to access Microsoft Copilot which provides data protection for Monash.

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

Murdoch University Library says AI functionality in its databases and systems is tested by a Library Generative AI working group against criteria that include functionality, accessibility, technical requirements, privacy, data protection, rights, and ethics.

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

Murdoch University Library guidance says generative AI use must stay within University requirements, and users are responsible for confirming the permitted level of AI use for their role or context.

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

Murdoch University Library guidance warns that unauthorised use of generative AI may be regarded as academic misconduct and against university policy.

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

Penn State's AI Studio user agreement permits Level 1 and Level 2 data in AI Studio and prohibits Level 3 and Level 4 data.

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.

Pusan National University's AI ethics charter/guidelines state that students may use AI as a supplemental learning or research aid, but should not undermine academic integrity and should disclose the source and scope when using generative AI.

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

Pusan National University's AI utilization guideline tells instructors to clearly announce in the syllabus or early in the course whether AI tools may be used, the permitted scope, and evaluation criteria.

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

Pusan National University's AI utilization guideline says instructors should communicate permitted or prohibited AI use for assessments, and it warns against deciding a student's grade solely from an AI plagiarism or AI-detection tool result.

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

Queen's guidance directs users working with internal or confidential data to use only Queen's-approved AI tools such as LibreChat and Microsoft Copilot with Queen's single sign-on.

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 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.

Queen's assessment guidance says text-based AI detectors are not recommended because current tools cannot definitively identify AI-authored content and can produce false positives.

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

Queen's tools guidance identifies Microsoft Copilot Chat as available for Queen's University faculty and staff using a @qub.ac.uk email login.

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 Doctoral School guidance says postgraduate researchers should not expose confidential, personal, or sensitive data to third-party AI tools unless there is an approved data processing agreement and explicit consent where required.

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

The University of Edinburgh does not ban the use of generative AI by students, though its use is restricted for much assessed work.

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

ELM (Edinburgh access to Language Models) is the University of Edinburgh's AI innovation platform and a central gateway providing safer access to generative AI through large language models.

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

At the University of Edinburgh, staff presenting AI-generated content as their own original work, uploading personal data or confidential information to external AI tools, and relying on AI detection tools are listed as unacceptable uses.

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 Google AI Tools Help Centre says only public or low-sensitivity information should be entered into TMU's Google AI tools, and sensitive or confidential information should not be used in prompts, uploads, or activities.

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 Academic Integrity Office identifies submitting work created in whole or in part by AI tools, unless expressly permitted by the faculty member or contract lecturer, as a Policy 60 misrepresentation issue.

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.

Universität Mannheim has a Rectorate-approved AI directive that sets binding rules for members and affiliates on developing, procuring, using, controlling, placing on the market, and putting AI systems into operation.

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

In the service context, Universität Mannheim's directive allows members and affiliates to develop, procure, use, operate, place on the market, or put high-risk AI systems into operation only after the Rectorate has been informed and has expressly consented.

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

For service-context use, Universität Mannheim requires AI systems to be entered in the central AI register before development, procurement, operation, or market launch; confidential or personal data may be processed only in systems explicitly released for that purpose in the AI register, and systems marked not approved may not be used.

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

UdeM's teaching-integrity guidance says course plans should explicitly state when generative AI tools are permitted; without explicit authorization, the tools are deemed prohibited.

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

UdeM Directive 10.70 tells administrative staff that confidentiality level 3 and 4 information must never be entered into a generative AI tool.

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

UdeM's graduate-studies guidance says graduate students working with human-participant research data must not submit personal or identifying participant information, or information that could identify an individual or group, to generative AI tools.

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

UGA's AI reference framework says students using generative AI must mention the use of generative AI and its name, identify the parts generated by or with AI, and cite sources correctly to avoid plagiarism.

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

UGA's AI reference framework says use of tools mobilizing AI is prohibited by principle for knowledge assessment unless explicitly authorized, with study regulations and assessment modalities specifying the AI-use framework.

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

UGA's AI reference framework says researchers using generative AI must verify whether generated ideas come from existing sources, add appropriate references, mention the use and name of the generative AI, and identify parts generated by or with AI.

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

UBIT guidance says individuals should not enter Category 1 or Category 2 data, including non-public research data, into Gen AI tools that the university has not contracted with.

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

A UBIT advisory says UB aligns with SUNY and New York State restrictions on DeepSeek AI, prohibiting its download, access, or use on UB-owned devices or UB networks, and says all AI tools must be reviewed and approved by the UB Software Review team.

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

UB's Office of Academic Integrity states that UB has no universal policy about student use of artificial intelligence and that instructors have academic freedom to decide which tools students may use for course learning objectives.

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.

UC San Diego Blink identifies TritonGPT as the university's preferred generative AI platform and says it is securely hosted at the San Diego Supercomputer Center so UC San Diego maintains full control over its data.

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

University of Colombo says AI use in assessments is not permitted unless instructions explicitly authorize it, and unauthorized AI use in summative assessment is considered cheating and an examination offence.

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

University of Colombo states that its generative AI policy applies to the use of GenAI tools in academic and administrative activities.

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

University of Colombo prohibits students and staff from uploading or sharing sensitive, confidential, or personally identifiable information into AI tools or online platforms.

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

The University of Gothenburg study-rules PDF states that, for take-home examinations, written tasks, or equivalent, AI-generated content may not be presented as one’s own work and examiners should specify the limits for permitted use of generative AI tools.

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 PIL guidance says all staff and students have access to Microsoft 365 Copilot Chat, employees have access to ChatGPT Edu, and Microsoft 365 Copilot can be requested with manager approval because its cost is charged to the department or equivalent.

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

The University of Kent publishes AI principles that set expectations for responsible, ethical, lawful and effective engagement with AI across education, research and professional services.

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 public research guidance says researchers using GenAI to process data must follow the University Data Protection Policy, complete DPIA screening where relevant, record planned GenAI use in data management plans, and document GenAI use.

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

University of Leeds data-restriction guidance says certain data, including passwords, usernames, PII, sensitive or confidential material, University IP, and some copyright-protected or third-party data, must never be put into AI software.

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 GenAI acknowledgement guidance says students must acknowledge GenAI use in an Acknowledgements or Declarations section when it functionally assisted their academic work.

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

UMB's AI Governance Policy applies to UMB faculty, staff, students, and affiliates who develop, use, or are impacted by AI technologies in research, teaching, operations, and service.

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

UMB says Sensitive/Restricted Data, including PII and PHI, should not be uploaded into public AI systems, and confidential or sensitive UMB data should only be uploaded into approved secure UMB-sponsored AI systems.

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

UMB requires Strategic Sourcing and Acquisition Services and CITS approval for acquisition of new AI technology tools, including free tools.

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 OIT guidance says AI outputs should be closely reviewed and verified by a human, and AI-generated code for institutional IT systems and services should not be used unless reviewed by a qualified technologist.

Evidence records: 1. 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 strongly advises users not to share sensitive, confidential, or regulated data with AI tools, because tool data-sharing practices may compromise confidentiality.

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

UNR's OIT AI usage policy applies to students, employees, contractors, and third parties using AI platforms on behalf of the University, and frames responsible AI use around information security, data privacy, copyright, and academic integrity.

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

UNC Charlotte OneIT's AI security checklist instructs users not to enter confidential or legally restricted data, including FERPA, HIPAA, PCI, or Level 3 data, into an AI tool.

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

UNC Charlotte OneIT states that all non-campus-wide AI software, including free and research-related requests, must use the Software & IT-Related Request Form.

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

UNC Charlotte OneIT rates some campus AI tools as approved for use with data handling guidelines, while AI detection software and AI grading software are listed as Do Not Use.

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.

UVM's approved AI tools page says approved AI applications are approved by data risk level, and a tool approved for one risk level is not approved for higher-risk data.

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 student AI guidance tells students that the key course-context question is what the instructor has said about AI use, and that students should check syllabi and assignment instructions.

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.

The University of York identifies Gemini as the University's preferred GenAI tool because data inputted into it is fully protected.

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

University of York student assessment guidance says false authorship is considered an academic misconduct offence under University policy and is treated very seriously.

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

For University data, York's IT guidance says staff and students must only use GenAI tools that are provided and licensed by the University.

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

Uppsala University's central guidelines say sensitive personal data may only be transferred to a university-approved generative AI system, and student material may not be transferred without the student's permission to a generative AI system that might use it to train the system.

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.

For courses offered by Uppsala University's Faculty of Law from the spring term of 2026, the Faculty guidelines say AI-generated material is not permitted in assessment components unless course documentation explicitly states otherwise; AI-based proofreading tools may be used without reporting, but not for generating new content.

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

USI's general rule permits use of generative AI tools unless a specific activity explicitly prohibits them, and says use must be correctly acknowledged.

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

USI student recommendations say students must follow teachers' instructions for GenAI use in written work; complete drafting of exam papers, dissertations, or final papers with GenAI is generally not permitted, and unauthorised use is academic fraud subject to study-regulation penalties.

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

USI maintains a public generative-AI guidance hub and June 2025 recommendations for both students and teaching staff; the Desk page says those recommendations expand and replace earlier 2023 communications.

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

York UIT states that York University data must not be entered into public AI platforms such as ChatGPT, Gemini, Claude, or similar services.

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

York's administrative AI chatbot and meeting-assistant guidelines state that only approved AI meeting assistants can be used for internal York virtual meetings, and meeting participants must be notified and consent before use.

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

York's Academic Integrity guidance says students must follow instructor expectations for AI use, acknowledge AI-tool use, and seek clarification if unsure.

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 student guidance says students should contact the course teacher if AI use is unclear, mark AI-generated content in their text, and not present AI-generated content as their own.

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

Aalto AI Assistant guidance says public, internal, and confidential data may be used in Aalto AI Assistant, but secret content and special-category or otherwise sensitive personal data are not permitted.

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.

Aarhus University staff guidance says all students and staff have access to a Microsoft Copilot version similar to free ChatGPT, that no university-wide guidelines for which GAI applications are allowed have been adopted, and that purchases of systems and licences must be handled with the unit, AU IT and AU Finance.

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 Graduate Research School guidance says graduate research students' use of generative AI must be transparent and responsible, including discussing use with a supervisor, keeping records, and acknowledging AI use in thesis acknowledgements, presentations, and publications.

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

Adelaide University's Graduate Research School guidance tells graduate research students not to upload sensitive, copyrighted, or confidential information, or unprotected intellectual property, into AI tools.

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

American University guidance says not to enter sensitive, Confidential, or Official Use data into an AI platform unless approved by a university official, and not to upload, input, or analyze university data in an AI tool that OIT has not approved.

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

American University guidance says students are responsible for course AI policies in syllabi, and misuse of AI or use without permission or disclosure may constitute an Academic Integrity Code violation.

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

American University publishes responsible-use guidance for AI tools that applies general principles of transparency, accountability, human oversight, data protection, privacy, teaching, research, staff, and student use.

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

AAU's AI instructions allow students to use AI tools for self-learning, initial project and research ideas, and text or data analysis, but prohibit submitting AI outputs as-is, generating complete or nearly complete assignment/project answers without being able to explain them, or using tools that lead to cheating or breach academic integrity.

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

AAU's AI instructions require students to document AI use by explicitly identifying the tool used and where and how it was used in assignments, research, and projects, while observing intellectual-property rights.

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

AAU's AI instructions allow faculty members to use AI tools for educational content, learning activities, rubrics, and student-performance analysis, while requiring the faculty member to remain the course's primary scientific source and not rely fully on generated outputs without review.

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.

Bar-Ilan University guidance requires students to declare whether they used generative AI tools in an assignment and to explain the specific contribution made by GenAI.

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

Bar-Ilan University guidance leaves whether and how students may use generative AI tools to instructor discretion; if an instructor has not explicitly prohibited use, use is permitted by default when the student explicitly discloses all use.

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

Bar-Ilan University guidance says students are responsible for the content they submit after using artificial intelligence, including errors introduced by hallucination or inaccuracy.

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

Boston University student guidance tells students to disclose GenAI use and states that submitting GenAI-generated or GenAI-assisted output without attribution is plagiarism that an instructor will treat as academic misconduct.

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.

For thesis work, Chalmers says AI tools may be permitted, but students are required to take full responsibility and make AI-tool use clear and transparent, including how and to what extent the tools were used.

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

For thesis work, Chalmers tells students to consult a Chalmers supervisor or relevant collaborator before using AI tools when there are uncertainties, particularly around data privacy and ethical issues.

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

Chalmers Library's student guidance connects AI use to plagiarism or ghostwriting risk and says students need to be fully transparent, describe what they did, and cite the AI tool used.

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

Charles Darwin University's formal Generative Artificial Intelligence Policy sets principles for GenAI use and applies to all CDU employees and students.

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

CDU staff may use generative AI tools for legitimate work purposes, but must not enter confidential, sensitive, or personally identifiable University information unless it is appropriately de-identified or redacted; tools with unclear hosting, ownership, or data handling must not be used with University information.

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

CDU says it does not generally maintain a static approved, preferred, or endorsed GenAI platform list, and Design Authority approval is required before institutionally adopting new GenAI platforms that are implemented, integrated, or used to process University data.

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

Charles University advises users not to put sensitive data, personal data, or internal university data into commonly available chatbots; it limits protected/internal-data use to Microsoft Copilot under the university license or specific local-model cases.

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

For final theses, Charles University says students remain responsible for submitted work and should truthfully describe how, to what extent, and for what purpose they used generative AI tools.

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

Charles University provides advisory guidance for using generative AI in final theses and says individual faculties may set their own permissions, rules, and restrictions.

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.

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 research guidance says HDR thesis use of generative AI is limited to copyediting and proofreading, with generated images allowed only where part of an approved methodology and fully disclosed.

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 states that it offers a suite of secure and accessible AI platforms to students, staff, and faculty.

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 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 generative AI position says undergraduate and taught postgraduate students who use Gen AI tools in learning or assessments must follow university guidance and acknowledge AI-generated content.

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

Edinburgh Napier University's generative AI position says academic staff should never require students to sign up for or use Gen AI tools, citing privacy, ethical, and environmental concerns, and should provide an alternative means of engaging with the task.

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

Effat University's library AI guide says using generative-AI text without proper citation is considered plagiarism according to Effat University, while policies for using and crediting AI tools may vary by class.

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

Effat University's library AI guide warns that generative-AI tools can produce inaccurate or false citations and advises users to verify citations for accuracy and credit the underlying source rather than the AI tool when citing sourced information.

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

Effat University's library AI guide advises users who decide to use ChatGPT or other AI technology for writing to be transparent with teachers and publishers and comply with applicable policies.

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

EPFL advises students not to input confidential, private or personal information into generative AI tools. When using generative AI tools, students are sharing data with private companies and lose control over it.

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.

EUR's central GenAI guidelines say users should not share personal or confidential information with GenAI tools and may use publicly available or published university information if use also follows the Acceptable Use Policy.

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

EUR's central GenAI guidelines state that students must create and submit their own work, that GenAI-generated work submitted as one's own is fraud, and that GenAI use in exams or evaluations where it is not permitted is fraud.

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

EUR's central GenAI guidelines tell staff, faculty, and students to use GenAI as a supplementary tool, remain responsible for delivered work, and be transparent when GenAI has been used.

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.

Georgia State guidance says faculty, staff, and students may not submit directly identifying data or university Sensitive or Confidential data into AI tools that are not supported by Georgia State.

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

Georgia State University has an active AI Policy addressing ethical, responsible, and secure AI use in academic and operational contexts, and the policy applies to Georgia State faculty, staff, and students.

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

Georgia State guidance says tools used for processes involving Sensitive or Confidential university data should not be used without contract review of data processing, privacy, and security before use.

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

German Jordanian University's AI principles apply to students, researchers, faculty members, and employees, each according to their role.

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

GJU's AI principles permit AI tools for research support such as data analysis and research model development, require researchers to disclose AI tool use, and prohibit using AI tools to produce complete research papers, fabricate data, generate non-original literature reviews, or create content not based on genuine research effort.

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

GJU's AI principles permit students to use AI tools for learning-supportive activities such as preliminary research, analysis, idea generation, writing improvement, and summarizing academic sources, provided that the use is disclosed; the principles prohibit using AI to fully prepare projects or theses without the student's actual contribution.

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's researcher guide explicitly encourages researchers to integrate AI into research processes while applying the AI-TU rule: analyse data, interpret results critically, truth-check results, and use results responsibly.

Evidence records: 2. 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 eResearch guidance says Microsoft Copilot is approved for Unofficial, Official (Public), Official (Internal), and Sensitive data classifications when users log in with a Griffith account, while Protected data is not approved for Microsoft Copilot.

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.

IAU has an official policy document for the use of artificial intelligence in education and scientific research, approved by the University Council on 28 January 2025.

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

IAU allows students to use AI tools for academic-process tasks only when the responsible-use rules in the policy are followed.

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

IAU tells students not to use university email to register for AI tools and not to enter personal, confidential, restricted, or university-owned data into AI tools without permission.

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

Iowa State guidance says confidential data classified as moderate or above may not be entered into any generative AI product unless assessed and approved under ISU data classification and applicable compliance processes.

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

Iowa State guidance says generative AI use must comply with applicable laws, institutional requirements, and listed university policies, and users are responsible for AI-generated content they publish.

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

Iowa State research guidance warns that users cannot assume GenAI tools comply with HIPAA, FERPA, and similar confidentiality rules, and says uploading information to a public AI tool is equivalent to releasing it publicly.

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's public German guidelines frame generative AI as a responsible and transparent-use decision aid for KIT, while stating that existing internal rules remain unaffected and take precedence.

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

KU Leuven permits and encourages responsible, critical use of generative AI in teaching and research, framing it as a complement to critical thinking and professional expertise rather than a replacement.

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

KU Leuven student guidance says clear misuse of GenAI, where output is largely generated by GenAI and the student is not transparent about tool use, can be considered an irregularity under Article 84 of the Education and Examination Regulations.

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

KU Leuven identifies Copilot logged in with a KU Leuven account as its recommended GenAI tool, citing contractual data protection, Enterprise technical security, and Microsoft not using entered data for further training.

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

Macquarie University's Responsible and Ethical Use of Artificial Intelligence Policy applies to staff, students, and affiliates across all uses of AI and sets eight principles for responsible and ethical AI use.

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.

McGill lists Microsoft 365 Copilot Chat as an available AI tool for staff, faculty, and students, and says a secure version with enterprise data protection is available for all McGill users.

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

McGill explicitly rejects DeepSeek AI for McGill-managed or research-funded devices, rejects Read.AI and other AI meeting bots for McGill use, and says tools not mentioned in the available AI tools list are automatically considered rejected.

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

McGill guidance says users should mitigate potential privacy concerns by removing personally identifying information when using AI tools, be careful with sensitive or restricted material, and avoid using Personal Health Information (PHI) or Payment Card Industry (PCI) data with AI tools.

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

Missouri S&T's Dean of Students academic-integrity resource says using AI tools like ChatGPT in coursework requires instructor approval, and unauthorized AI use may violate university regulations and be considered plagiarism.

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

Missouri S&T's Information Technology AI best practices caution users not to use AI with sensitive data unless approved, including student information, restricted grant information, unpublished research, or other works in progress.

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

Missouri S&T's CAFE GAI Guidelines state that the UM System does not endorse or provide an AI checker and caution faculty against trying to use this type of software because the tools have been shown to be unreliable and biased.

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.

NTU states that generative AI should not be listed as an author of any paper with NTU affiliation, or as a Principal Investigator, Co-PI, or collaborator in research proposals.

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

NTU states that the use of generative AI beyond basic spelling and grammar checks should be acknowledged and cited in research outputs, publications, and presentations.

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

NTU states that misrepresenting AI-generated content as one's own work is considered academic misconduct under the 2025 NTU Academic Integrity Handbook.

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

For undergraduate theses and designs involving confidential content, Northwest Agriculture and Forestry University prohibits using any AI tool and prohibits uploading any data to AI platforms.

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

For undergraduate theses and designs, Northwest Agriculture and Forestry University prohibits AI tools from doing research scheme design, innovative method design, algorithm framework construction, directly generating major thesis components, or generating or altering original data and original or experimental media results.

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

Northwest Agriculture and Forestry University's undergraduate thesis/design AI notice states that students bear final responsibility for AI-generated content and that AI tools may not be listed as authors or collaborators.

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

Northwestern guidance states that faculty, staff, students, and affiliates should not enter institutional data into any generative AI tools that have not been validated by the University for appropriate use and have explicit permission of the data provider.

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

Northwestern classifies data into four levels. Only Level 1 (non-confidential, public) data may be uploaded to publicly available generative AI tools. Data above Level 1 requires tools approved through Northwestern IT procurement and security review.

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

Microsoft Copilot is Northwestern's primary approved generative AI tool. All students, faculty, and staff have access to free Copilot Chat, with full Copilot for Microsoft 365 available as a paid subscription.

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

Peking University's AI use guidelines apply to faculty, students, researchers, and administrators who use generative AI or other AI-assisted tools in teaching, research, and management activities.

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

Peking University distinguishes two levels of AI involvement in research: instrumental assistance (using AI as a tool to handle routine or repetitive tasks) and replacement completion (using AI to independently complete tasks involving core intellectual contribution and creative labor).

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

Peking University's AI Scientific Integrity Platform synthesizes AI use policies from 18 domestic and international sources, including Chinese government agencies (MOST, NSFC), Chinese universities (Fudan, Nanjing, Sichuan), international bodies (EU Commission, NIH), and universities (Harvard, Yale, Cambridge, UCL, Oxford, MIT).

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.

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 students must not enter personal data or confidential data from restricted records into generative AI tools and must protect that data when using generative AI.

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

Princeton University requires that only University-licensed generative AI tools should be used with University Information classified as Internal or Confidential, and the use of publicly available generative AI tools in conjunction with such Princeton Information is not permitted by the University.

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

Princeton University requires faculty to set clear expectations for whether, when, and how generative AI can be used and state those expectations in the course syllabus.

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

Princeton University's McGraw Center for Teaching and Learning recommends that faculty do not use AI detection software to determine if student work is AI-generated, stating that detection tools are unreliable and biased.

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

Qatar University instructs users to refrain from relying on generative AI to write research papers, assignments, or theses on behalf of students or researchers.

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

Qatar University instructs users to avoid entering personal, confidential, and sensitive data into AI tools or platforms.

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

Qatar University instructs users to disclose any generative AI use in academic, research, or administrative outputs and to clarify its scope and extent, including contribution level.

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.

RMIT describes Val as its generative AI tool for eligible students, powered by OpenAI models, and says course guides determine whether Val or other AI tools are appropriate for learning and assessment.

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.

Stony Brook guidance says generative AI use in coursework can be prohibited, allowed, or required depending on the course or assignment, and students should consult course policies or instructors when unsure.

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

Stony Brook guidance warns users not to enter sensitive, personal, or proprietary information into generative AI tools without understanding the protections provided by the tool.

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

Stony Brook DoIT maintains an AI Tools directory that identifies available tools such as Copilot, Gemini, NotebookLM, Turnitin, and Zoom AI Companion, while noting that listed tools may not be used with HIPAA data.

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 states that it currently does not have rules specifying which AI tools are allowed or prohibited, and instead emphasizes common sense, the honour code, and clear source attribution.

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.

Warwick's AI Information Compliance Policy says all new uses of AI tools, products, or services must go through appropriate procurement processes, regardless of cost.

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

Warwick's AI Information Compliance Policy covers everyone with a contractual or implied relationship with the University and all information processed by the University.

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

Warwick's student-facing guidance tells students not to enter personal or confidential data into AI tools unless they understand what will happen to the data, and recommends Copilot chat with a Warwick account for that kind of data.

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

Tilburg University's Privacy & Security framework says users should not enter personal data, confidential information, or commercially sensitive information into GenAI tools, and should have tools assessed first if they want to process sensitive data with GenAI.

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

Tilburg University's Privacy & Security framework states that GenAI output may contain errors, fabrications, or biases and that generated information should always be verified before being used or shared.

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

For Tilburg School of Humanities and Digital Sciences exams, tests, and assignments, Tilburg University states that AI use is not permitted unless a lecturer explicitly states otherwise.

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

Xiaoda is listed for Tsinghua 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.

AI Navigation Assistant is listed for Tsinghua 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.

AI Reading Assistant is listed for Tsinghua 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.

UAEU's student GenAI policy applies to all university students and to student work submitted for academic credit.

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

UAEU allows students to use GenAI tools for academic and research purposes, while framing GenAI systems as complementary to human creativity and decision-making.

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

UAEU reserves the right to monitor student GenAI tool usage for policy compliance, and violations may lead to disciplinary action.

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

For teaching and examinations, Universität Innsbruck's FAQ says course leaders may decide which AI tools are permitted unless a faculty has its own rules, should communicate rules clearly, and should explicitly identify permitted aids including AI tools for examinations; unnamed aids are prohibited.

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

Universität Innsbruck offers employees with an active employment relationship access to Academic AI in a protected environment, recommends the in-house Academic AI model, and says staff use of Microsoft Copilot is expressly prohibited for data-protection reasons.

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

For research and scientific work, Universität Innsbruck's FAQ says good scientific practice applies to AI-tool use, AI use must be made transparent with tool name, scope, and purpose, and AI should not be cited as an author.

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

University of Bergen tells students to check the rules for their own subject because faculties and departments may have their own guidelines for AI-based tools.

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.

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 states that students, staff, faculty, and researchers who need to enter high-risk or sensitive data into a generative AI tool or service should submit a ticket to [email protected], and that high-risk or sensitive data in any generative-AI solution must have appropriate contracts and data-use agreements.

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

UIC IT states that Copilot Chat is protected by enterprise data protection only when a client is signed in with UIC credentials, and that no university data may be shared in the consumer or personal Microsoft Copilot product when clients do not sign in with UIC credentials.

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

Illinois Enterprise GenAI guidance frames AI as a collaborator for efficiency and creativity rather than a replacement for human insight.

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.

Authors submitting to New Educational Approaches must transparently disclose use of AI tools such as large language models or chatbots for generating or editing part of an article in a separate AI-use statement before the references.

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

For submissions to New Educational Approaches, AI tools are permitted only for improving writing quality, language editing, content organization, or preliminary source review, and they cannot be listed as an author or collaborator.

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

For New Educational Approaches, reviewers may not upload manuscript text to AI tools or prepare reviews with AI, and editors may not use AI tools to analyze, evaluate, or decide on manuscripts.

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.

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.

For administrative AI use, UMBC's DoIT guidance says that unless a user is using a tool from the GenAI Tools page, only public data may be used with a generative AI service and use of UMBC proprietary data is forbidden.

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

UMBC's Academic and Instructional AI page says UMBC does not license any AI detection tools at this time and describes reliability concerns with AI-detection tools.

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

UMBC's DoIT GenAI Tools guidance says UMBC content that is not public should not be used with a GenAI service unless UMBC has verified that the service is safe to use, and says UMBC has several tools verified as safe for Level 1 and FERPA data.

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

UMass Amherst's Academic Integrity Policy includes attempted or intentional use of unauthorized materials, including generative AI tools, in its cheating definition unless the instructor explicitly permits the use.

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

UMass Amherst guidance says students cannot use generative AI to complete academic work without instructor permission, and should assume use is not allowed when explicit permission has not been given.

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

UMass Amherst's Academic Integrity Policy includes knowingly representing the words, ideas, art, or creative works of generative AI tools as one's own work in its plagiarism definition.

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

For educational activities, the University of Milan permits AI-supported self-assessment when explicit, but does not permit delegating learning assessment to AI tools when the assessment contributes to the final exam grade.

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

In educational settings, the University of Milan advises that students must explicitly declare AI use in assessed work and that teachers must explicitly declare AI use in educational activities.

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

For research, the University of Milan advises research staff to use AI while respecting responsibility, transparency, and respect, and says researchers remain fully responsible for results produced with AI tools.

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.

The USNH Artificial Intelligence Standard, which applies to USNH component institutions, says users of AI tools must not share or enter non-public Tier 2 or higher data, including PII or non-public research data, and that any AI implementation is subject to USNH policies, standards, and security review.

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.

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.

University of Parma has official 2025 guidelines for responsible use of generative AI in teaching and research, approved by the Academic Senate and Board of Directors.

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

For academic materials, the guidelines say use of generative AI must be explicitly declared with the tool, version, and purpose; not declaring AI use is described as a violation of academic integrity rules.

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

The guidelines treat generative AI as support for teaching, learning, and research, not a replacement for human work; AI-generated content should be examined, approved, modified, and supervised by a human author.

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 says generative AI should not be used to grade student work and directs instructors to review data privacy implications before inputting data into generative AI tools.

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

USask academic-integrity guidance says GenAI detection tools are not reliable and that no detection tool has been approved for use at the University of Saskatchewan.

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

USask administrative AI guidance strongly recommends not inputting personal information or confidential data into AI tools and says administrators should prioritize USask-approved AI tools.

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

USask LTE Toolkit guidance says instructors planning student GenAI use should use approved or reviewed tools when accounts are required and says using GenAI to determine final grades is strongly discouraged.

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

University of Sharjah requires disclosure of AI use for coursework, thesis proposals, and final thesis submissions through a Declaration of Artificial Intelligence Use form.

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

For the covered graduate context, University of Sharjah strictly forbids AI-based tools in exams and quizzes and treats extensive use of ChatGPT or other generative AI tools to complete assignments as academically dishonest.

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

Within the covered graduate policy context, University of Sharjah prohibits uploading confidential, unpublished, or sensitive data to publicly accessible AI tools.

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

For AI tools used in student work, Rector Measure R 567 forbids students from reusing their university-system passwords for AI-tool registration and forbids providing sensitive personal data or confidential, internal, protected, sensitive, or other non-public information, including university intellectual property, to AI tools.

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

Rector Measure R 567 states that AI outputs are only input material for the author; the author is responsible for using, critically examining, and verifying those outputs, and the author of the student work is the student, not the AI tool.

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

Rector Measure R 567 says proven use of AI tools contrary to the measure is treated like plagiarism, as unethical conduct with possible disciplinary consequences, and proven unauthorized or undeclared AI use after a successful defense can lead to proceedings on invalidity of the state examination or defense.

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

St Andrews GenAI information policy says University information classified as internal, confidential, or strictly confidential must not be input into publicly available generative AI tools.

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

St Andrews Good Academic Practice policy treats presenting AI output as a student's own work without acknowledgement as unauthorised use of AI, except where an assessment specifically permits or encourages such tools.

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

St Andrews student guidance says Microsoft Copilot is the University's provided AI tool for staff and students, with Commercial Data Protection enabled.

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

The University of Strathclyde Student Discipline Procedure says the University does not endorse or permit AI detection tools or services to determine whether unauthorised Generative AI use has taken place, and does not permit submitting student work to those tools or services.

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

The University of Strathclyde Student Discipline Procedure lists unauthorised use of Generative Artificial Intelligence tools and services as an example of behaviour that may give an unfair academic advantage.

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

University of Strathclyde guidance tells students to check module or department guidance to determine whether AI tools may be used in a specific assessment and to what extent.

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

The University of the Free State has a Senate-approved AI Position Statement that covers both generative and assistive AI technologies across teaching and learning, research, and administrative tasks.

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

UFS states that it does not impose a blanket restriction on AI use, while noting that advantages, disadvantages, and implications need to be considered in different UFS spheres.

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

UFS lists respect and awareness as an AI guiding principle, including respect for individuals' privacy and data security and awareness of potential social and environmental harm.

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

UT's education PDF requires students to disclose AI use in an appendix when AI is used for an assignment, and states that unconsented and unacknowledged AI use should be considered academic misconduct.

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

UT's AI dossier tells users not to include personal, student, research, confidential, or sensitive data in public AI tools.

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

For student assignments and theses, UT's AI dossier says AI tool use depends on the course and on policies set by the programme or lecturer.

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

UVA ITS terms say University Data classified as Highly Sensitive may not be included in GenAI Tools chat prompts.

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

UVA Provost guidance says that if an assignment involves students uploading original work into a GenAI tool, instructors must provide alternative ways to complete the assignment.

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

UVA ITS says appropriately licensed UVA GenAI tools keep prompt data in a UVA-specific tenant and do not share it with others or use it for AI model training.

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

The University of Wrocław academic-integrity standards treat content generated with natural-language processing tools and other AI algorithms as non-author content that must be clearly marked.

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

Under the University of Wrocław academic-integrity standards, instructors may permit AI tools for class work on specified terms, and students must acknowledge the AI use in the text or code when such use is allowed.

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

The University of Wrocław Anti-Plagiarism Support Team says AI tools may be used in research work for theses or term papers within arrangements with the supervisor or adviser, but their use must be ancillary and must not replace the author's critical thinking.

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 members are transparent about AI-tool use, users bear sole responsibility for AI-assisted content and products, and AI tools must be used in accordance with statutory provisions including data protection and copyright law.

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.

Utah State University's AI Use & Compliance guidance says sensitive, restricted, or confidential data should not be uploaded or processed in AI tools unless the university has an established privacy agreement with the provider.

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

Utah State University's AI Tools page lists Microsoft Copilot with Data Protection, Zoom AI Companion, Box AI, Google Gemini, and Google NotebookLM as available to current USU students, faculty, or staff, while Microsoft Copilot for Microsoft 365 is available as a purchased add-on by request.

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.

Vilnius University has a Senate-approved central AI usage guideline listed among its official study regulations and academic policy documents.

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

Vilnius University Business School guidelines allow students to use AI tools in academic works, while requiring disclosure and treating failure to specify AI use and provide a transcript in annexes as academic dishonesty.

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

Vilnius University Business School guidelines say public or free AI tools must not receive research data, study materials, work drafts, notes, or personal information, and Level 2-5 data must not be entered unless approved by the University and explicitly permitted.

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

WSU Provost guidance says WSU does not endorse AI detection tools and will not allow any AI detector to be the sole support for an academic misconduct case.

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

WSU Provost guidance says instructors may allow or prohibit generative AI tools for their courses, with an obligation to communicate the course AI policy clearly to enrolled students.

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

WSU Provost AI-related policy guidance says Executive Policy 8 prohibits putting legally protected or regulated data, including proprietary, personally identifiable, HIPAA, or FERPA data, into generative AI platform queries.

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

WVU guidance says PII, confidential information, or other sensitive data must not be entered into a generative AI tool unless explicitly approved through the IT Purchase Request process.

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

WVU Academic Integrity’s AI student FAQ says students can use AI tools for assignments only when instructors allow them, and students should ask the instructor if unsure.

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

WVU Faculty Senate’s Artificial Intelligence Syllabus Statement says AI tools that create and develop academic content are not allowed unless an instructor gives permission.

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

Yeshiva University's faculty and staff AI acceptable use policy says faculty and staff must not input Internal or Restricted Information, or information identifiable to a person, third party, or the University, into Generative AI tools except when expressly permitted by ITS after contract and security-control review.

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

Yeshiva University's undergraduate policy permits faculty to allow Generative AI in courses or assessments if they specify in writing how it may be used; content produced using Generative AI must be cited according to the relevant subject conventions.

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

Yeshiva University's faculty and staff AI acceptable use policy says individuals using Generative AI in research must be transparent about its use and researchers must avoid uploading unpublished research data or Internal or Restricted Information into Generative AI tools.

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

Auburn guidance says operational or confidential data should never be shared with AI tools unless specific legally binding data security protection agreements and procedures are in place.

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

Auburn Graduate School guidance says graduate-student AI use in research and writing must be disclosed and approved by the student's advisory committee.

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

Auburn guidance says instructional faculty may encourage or restrict student AI use in courses and should give students clear expectations and disciplinary-consequence awareness.

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

Brunel's student GenAI guidance advises students to avoid entering personal details, confidential records, identifiable information, or personal documents into generative AI tools.

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

Brunel's student-facing guidance says generative AI tools can support learning, but students remain responsible for their work and ideas and should use GenAI as a learning aid rather than a shortcut.

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

Brunel's student guidance suggests using university-approved GenAI tools such as Copilot or BrunOwl AI Study Buddy, describing them as university-managed tools whose entered information is not used to train AI.

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

Ca' Foscari University of Venice maintains an official AI guidance hub linking guidelines for research, teaching and learning, and administrative services.

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

Ca' Foscari's teaching and learning AI guidelines address faculty and students and frame generative AI as a responsible, constructive aid rather than a replacement for intellectual work.

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

Ca' Foscari's administrative AI guidelines tell technical administrative staff not to input personal data, contract data, or protected copyright or confidentiality-restricted data into AI tools unless the relevant permission exists.

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

Cairo University's 2025 responsible AI policy states objectives to raise awareness of AI applications, protect data confidentiality and security, and ensure responsible use that upholds academic values.

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

Cairo University announced its AI strategy in October 2024 and the University Council approved a higher committee to follow implementation across faculties and institutes and an AI unit in each faculty or institute.

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

Cairo University's responsible AI policy identifies academic-staff risks that include plagiarism or failing to attribute AI tools, privacy-compromising data sharing, hallucinations and biases, and over-reliance on AI.

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 generative AI used to prepare materials or structure, the appendix recommends a general statement listing the AI tools and purpose, while keeping responsibility for correctness with the author.

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

An official Comenius-hosted appendix recommends that work using artificial intelligence tools begin with an originality declaration indicating that AI tools were used.

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

The same official advisory source states that ChatGPT does not replace the full writing process and that the student remains responsible for the final submitted work.

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

Comillas states that using AI to create complete works or relevant parts without citing the source or tool, or without express permission in the assignment description, will be considered plagiarism under the university's general regulations.

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

Comillas prohibits entering restricted data into any generative AI tool or service without the corresponding approval, including protected or personal data not authorized by the DPO or not meeting security measures.

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

Comillas permits students to use AI as a reference tool when the use is acknowledged and cited, and directs students to check each course guide and consult the instructor for activity-specific rules.

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

Cyprus University of Technology's AI guide says the university encourages modern technological tools for education, research, and learning while also recognizing risks, misuse, privacy, and personal data concerns.

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

The CUT AI guide says students must submit their own work and disclose any use of AI tools.

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

The CUT Data Security guide advises users to avoid sharing confidential, sensitive, or personally identifiable information in AI prompts and to check AI tool privacy practices.

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 graduation-thesis ethics guideline treats failure to acknowledge and document AI-tool text or other AI outcomes in a thesis, while presenting them as one's own, as plagiarism.

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.

The same Dongguk notice says its ChatGPT guideline covers instructor guidance to state use principles in syllabi, inform students, and consider assessment design, and learner guidance to follow instructor-provided ChatGPT principles, analyze and verify ChatGPT answers, check similarity to existing works, cite sources, and avoid overreliance.

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

A Dongguk Advanced Convergence College notice describes ChatGPT guideline objectives that include improving members' understanding of generative AI, improving learning experience through class use of ChatGPT, presenting measures for safe and ethical use, and reducing confusion in academic operations.

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

Dongguk's central notice announced a paid generative AI service and linked a service guide describing an all-in-one generative AI platform with selectable model families such as GPT, Gemini, and Claude, plus custom chatbot features.

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

Durham Global Opportunities guidance says using generative AI in Global Opportunities applications is unadvisable and may negatively affect an application.

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

Durham Common Awards guidance says some limited uses of generative AI do not count as academic misconduct if work remains the student's own, AI use is acknowledged where required, and caution is demonstrated.

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

Durham Global Opportunities guidance says asking an AI tool to proofread in British English would be appropriate where the original text was generated by the human applicant.

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.

Essex staff guidance says generative AI tools may not be used as a sole decision maker, to process or analyse confidential or personal information, or through unapproved personal accounts.

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

Essex staff guidance for business operations says staff using generative AI in their work must comply with the University's Information Security Policy, IT Acceptable Use Policy, and relevant legal requirements.

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

Essex staff guidance identifies Zoom AI Companion and Microsoft Copilot as approved generative AI tools with established contractual agreements and University licensing, and directs staff to request review before using other tools.

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

The MSc Accounting and Finance master thesis guidelines allow AI tools in writing a master's thesis but require disclosure of advanced AI tools used, while stating that basic proofreading, grammar-checking, and translation tools do not need to be reported.

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

The Faculty of Economics and Management bachelor thesis guidelines allow AI tools in writing a bachelor's thesis, but require students who use them to disclose the tools, purposes, and thesis sections in a table after the references.

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

The Faculty of Economics and Management bachelor thesis guidelines state that students remain responsible for evaluating AI outputs and warn that AI-generated text may create plagiarism risks; they also say Turnitin plagiarism checking is mandatory before final manuscript submission.

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

Georgia Tech OIT guidance says faculty, staff, and students shall not submit PII, Protected Data, Regulated Data, or Georgia Tech Organizational Data into any AI tool.

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

Georgia Tech OIT states that DeepSeek is prohibited for Institute-related work, research, or activities involving Georgia Tech data.

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

Georgia Tech OIT says Institute technology services and tools must undergo comprehensive review, and third-party AI plugins are disabled pending comprehensive risk review.

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

Ghent University says everyone at the university has access to Microsoft 365 Copilot Chat with business data protection, while also noting that Copilot Chat is not promoted as the sole GenAI tool.

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

For assignments completed at home from academic year 2024-2025, Ghent University student guidance permits responsible use of generative AI tools and says individual teachers can still prohibit use for a specific subject.

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

Ghent University student guidance treats irresponsible GenAI use such as plagiarism, fake data, or outsourcing the thinking process as irregularities that lead to an exam disciplinary procedure.

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

HKBU states that its e-Learning Committee established the Generative AI Tools Task Force to develop principles, guidelines, and policies for use of generative AI tools in the university.

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

HKBU describes its Principles for the Use of Generative AI Tools in Teaching and Learning, and Assessment as Senate-approved in June 2023 and effective from AY2023/2024.

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

HKBU presents four generative-AI teaching and learning principles: AI-Empowering, AI-Critical, AI-Ethical, and building and sustaining human uniqueness.

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

HKMU's generative-AI guidelines say users must never input confidential, sensitive, or personal data into generative-AI tools, especially tools not supported by HKMU.

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.

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.

K-State's employee guidance says users should not enter Protected Information into any AI system that has not been approved by Kansas State University.

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

K-State's employee guidance identifies several AI services as approved when accessed through Single Sign-On and identifies DeepSeek as prohibited from use.

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

K-State's Teaching and Learning Center sample syllabus language ties unattributed AI-generated assignment content to a violation of the K-State Honor Pledge.

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

When students, learners, or personnel use AI tools to create content, KMUTT requires them to cite and clearly state the scope of that use; concealing such use is treated as an ethical violation that may be penalized under relevant rules.

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

KMUTT has university-level principles and guidelines for using Artificial Intelligence Tools to create content for teaching, learning, and research.

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

KMUTT states that instructors or researchers must use discretion when defining the scope of AI-tool use for content creation in teaching, learning, or research, without affecting teaching objectives, learning outcomes, or research objectives.

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

For employees, Kuwait University's GenAI policy says employees have the right to use GenAI to support work, but should not upload sensitive data to GenAI tools because it might be published for others.

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.

For research, Kuwait University's GenAI policy says GenAI tools may assist research, but they do not replace human intellectual effort, their use should be indicated, and they cannot be relied on as a source or reference.

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

Kyung Hee's ChatKHU guide instructs members not to enter or upload personal information, unpublished important data, research data, evaluation materials, or confidential university documents into ChatKHU or external AI tools.

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

Kyung Hee's ChatGPT guideline says students should follow instructor guidance and recognize that undisclosed or direct submission of ChatGPT output can constitute misconduct.

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

Kyung Hee's ChatGPT guideline tells instructors to decide ChatGPT use standards for a course and state the applicable guidance in the syllabus.

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

Mahidol University has established a university-wide framework and practical guidelines for appropriate and constructive use of Generative AI by staff, students, and official collaborators.

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

Mahidol University's GenAI policy permits researchers to use Generative AI as a research tool, while requiring them to clearly identify the role of Generative AI in the research process and transparently report its use.

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

For Mahidol graduate-level thesis, thematic paper, and independent-study writing, the Faculty of Graduate Studies states that advisors may allow student AI use, but not for generating or drafting main content, analysis, research results, or main conclusions, and both advisor and student must disclose AI usage transparently.

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.

Manchester Metropolitan University's teaching guidance identifies Microsoft Copilot as the approved generative AI tool for generating text and images, available to staff and students for free with university credentials.

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

Michigan Tech Policy 1.20 tells university affiliates to avoid submitting tier 1 confidential or restricted MTU data to AI tools, with limited use only when explicit contractual protections exist and written consent is obtained from the CIO, CISO, or General Counsel.

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

Michigan Tech Policy 1.20 requires AI tool use to be disclosed when the use represents a significant component of the final product or deliverable, defined by the policy as more than 25%.

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

Michigan Tech's academic integrity policy treats use of generative AI technologies as an academic integrity violation when the use is prohibited by the instructor or does not comply with University Policy 1.20.

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