University of Chicago

The use of artificial intelligence (AI; including Large Language Models and related technologies) writing and research tools may or may not constitute academic dishonesty, depending on the rules for AI use established by the instructor of record. Any doubts about what constitutes appropriate use should be addressed to the instructor.

証拠の所在の検索: Academic Honesty & Plagiarism; normalized extracted text; Unicode codepoints 1069:1404

Using generative AI without proper attribution is considered a breach of academic integrity.

証拠の所在の検索: Capabilities and Limitations; normalized extracted text; Unicode codepoints 1477:1569

If you use AI to generate ideas, summarize texts, or get assistance with drafting, acknowledge this in your work when appropriate. Just as you would cite a book or a website, giving credit to AI where applicable helps maintain transparency.

証拠の所在の検索: Proper Attribution; normalized extracted text; Unicode codepoints 5510:5750

b) For all work that a student submits for any form of academic credit, AI may not be used, whether with or without attribution, in a way that would constitute academic plagiarism if the AI were a human author whose work was used without attribution . Commentary: The crux of this policy, which applies in any context in which a student submits work for evaluation, is the application of existing academic integrity policies. Thus, some but not all uses of AI in preparing work to submit for a class would violate this default policy. Using AI to brainstorm ideas for a paper—akin to asking a search engine (like Google), professors, or professional contacts for

証拠の所在の検索: Law §4.9(1)(b); normalized extracted text; Unicode codepoints 7818:8480

suggestions—would not violate this default policy. Nor would using AI for proofreading. The principle here is that if AI is performing a task that other technologies (or people) currently perform, and such uses are not a violation of academic integrity, then those uses of AI do not violate the default policy. In contrast, using AI to compose part or all of a paper, or copying or paraphrasing output from AI and passing it off as one’s own writing, would violate this default policy. The same principle applies here: if AI is performing a task that other technologies (or people) currently perform, and such uses are a violation of academic integrity, then those uses of AI do

証拠の所在の検索: Law §4.9(1)(b); normalized extracted text; Unicode codepoints 8481:9159

violate the default policy. The default policy sweeps more broadly than a prohibition against academic plagiarism, however. A student cannot avoid limits on the use of AI that would otherwise apply by attributing their work to AI. It is not plagiarism to copy or paraphrase another’s work, so long as one properly cites that source. But under the default policy, the use of AI with or without attribution is compared to the use of a human-created source without attribution . Thus, using AI to compose all or part of a paper, even if the use of generative AI is fully documented in properly placed footnotes , is a violation of the default policy.

証拠の所在の検索: Law §4.9(1)(b); normalized extracted text; Unicode codepoints 9160:9807

AI detectors, including Pangram, are not perfect, though research from Booth faculty Brian Jabarian and Alex Imas indicates that Pangram is the best tool available (Jabarian & Imas, 2025). Accordingly, instructors and the Office of College Community Standards may use Pangram as one source of supporting information in a transparent, human-led academic integrity process and to guide conversations with students suspected of inappropriate AI use. OCCS is available to assist instructors in interpreting and weighing the results of a Pangram analysis.

証拠の所在の検索: AI Detection with Pangram; normalized extracted text; Unicode codepoints 8435:8985

Particular schools, divisions, and programs may have specific policies or guidance on whether or how to use Pangram. In some areas of the College, instructors have individual discretion to set the rules about AI use in their courses and to decide whether to use Pangram. Not all instructors will choose to use Pangram.

証拠の所在の検索: AI Detection with Pangram, unit scope; normalized extracted text; Unicode codepoints 8116:8434

The goal of the College disciplinary system is to ensure a fair and orderly process for fact gathering and decision-making regarding matters of possible student misconduct. In this undertaking, the OCCS, the Committee or the Subcommittee (as applicable) make no assumptions or presumptions, including about the credibility or culpability of the parties to the proceeding or witnesses. Neither the respondent nor the complainant bears the responsibility of proving or disproving allegations, and it is the role of OCCS, the Committee or Subcommittee (as applicable) to gather and/or evaluate information, apply an unbiased and transparent process, and determine by a preponderance

証拠の所在の検索: College Area Discipline Policy and Procedure, principles; normalized extracted text; Unicode codepoints 2219:2898

of the evidence whether the respondent violated our standards of conduct or a specific policy. Administrative and Formal Resolutions

証拠の所在の検索: College Area Discipline Policy and Procedure, principles; normalized extracted text; Unicode codepoints 2899:3031

The accused student will be informed in writing by OCCS of the referral and the date and time of the College Area Disciplinary Committee meeting where their case will be resolved. In advance of the meeting, the accused student will be provided with a copy of all written material furnished to the Area Disciplinary Committee and will be allowed at least two business days to complete and submit a response to OCCS prior to the matter being heard by the Area Disciplinary Committee.

証拠の所在の検索: Formal Resolution, materials and response; normalized extracted text; Unicode codepoints 22064:22545

Students may bring a person of their choice to any disciplinary-related meetings with the Dean of Students in the College or the Director of OCCS (or designee) or have them attend and provide support during phone calls or other interactions related to the investigation and resolution of an incident. The student can also be accompanied by their support person to any proceedings and during the subcommittee meeting (see below). The support person may confer quietly with the student during the proceedings and offer advice and other support during breaks. The support person may also assist with the review and preparation of materials, although authorship of statements should

証拠の所在の検索: College support persons and advance notice; normalized extracted text; Unicode codepoints 10073:10751

be the student’s alone. Support persons may not speak for the student during the proceedings and are not allowed to direct questions to the subcommittee members. Support persons should be aware that this is not a legal proceeding, and their role is not to provide zealous advocacy like that provided in a legal proceeding. If a support person violates the limitations regarding their role or engages in behavior or advocacy that harasses, abuses, or intimidates a witness, or an individual resolving the complaint, the support person may be required to leave the meeting or proceeding. Students should inform OCCS three to five business days before any proceedings if a support

証拠の所在の検索: College support persons and advance notice; normalized extracted text; Unicode codepoints 10752:11429

person will be attending. If the person providing support is a lawyer, a representative of the University’s Office of Legal Counsel must also attend the proceedings. The student should notify OCCS a minimum of seven business days before any proceedings the lawyer will be attending.

証拠の所在の検索: College support persons and advance notice; normalized extracted text; Unicode codepoints 11430:11712

If the College Area Disciplinary Committee imposes a sanction following a finding of responsibility, the accused student may request to have the decision reviewed.

証拠の所在の検索: Requests for Review; normalized extracted text; Unicode codepoints 26637:26800

When utilizing AI content generation software or other AI tools, students are required to appropriately acknowledge the use of these tools by citing the specific AI program(s) employed in their work in the bibliography or elsewhere on the assignment. Students should provide detail about how the AI was utilized – prompts used etc. Students should save the full original AI generated text as a separate file in case the instructor requests to see it. Failing to cite use of AI constitutes academic dishonesty.

証拠の所在の検索: Harris AI Use in Academic Work, condition 3; normalized extracted text; Unicode codepoints 17160:17669

Disciplinary Probation – in addition to the written notice as described above, students sanctioned with disciplinary probation will have the following limits imposed upon them during the time period of their probation: loss of access to Harris emergency scholarship funding, and loss of access to Harris Career Development services including HarrisLink. Students who have been sanctioned with disciplinary probation are also permanently ineligible for on-campus academic jobs including teaching assistant (TA) and proctor. Students on disciplinary probation are not considered to be in good standing. Any additional violations of policy while on probation will be referred to the

証拠の所在の検索: Harris Disciplinary Process and Sanctions, updated 2 October 2026; normalized extracted text; Unicode codepoints 49150:49829

Area Disciplinary committee.

証拠の所在の検索: Harris Disciplinary Process and Sanctions, updated 2 October 2026; normalized extracted text; Unicode codepoints 49830:49858

Users are responsible for properly citing the content generated by the service when it is used in academic papers, presentations, or any other form of course assignment or publication.

証拠の所在の検索: PhoenixAI Disclaimers, User Responsibility; normalized extracted text; Unicode codepoints 4565:4749

Each academic unit—the College, graduate divisions, professional schools, and the Graham School—has written procedures for student discipline. Those procedures may be obtained from the Office of the Dean of Students of the academic unit. General procedures for area discipline follow the outline of the procedures described below.

証拠の所在の検索: Area Disciplinary Systems, Unit-Specific Procedures; normalized extracted text; Unicode codepoints 412:742

In situations where an individual student has acknowledged responsibility for misconduct and the most likely outcome for that misconduct would be a sanction of warning or disciplinary probation if the Area Disciplinary Committee were to be convened, the area Dean of Students (or designee) may offer to resolve the allegation of misconduct administratively without referral to an Area Disciplinary Committee. In such matters, the area Dean of Students can propose the sanction of an official warning or place the student on disciplinary probation for a specified period of time (e.g., a quarter, a year, for the duration of the student’s enrollment, etc.). The student will be

証拠の所在の検索: General Area administrative resolution; normalized extracted text; Unicode codepoints 4646:5322

given the option to accept or reject this offer for resolution in writing. If the student rejects this offer for resolution, then the area Dean of Students may refer the complaint to the Academic Dean with a recommendation to convene an Area Disciplinary Committee.

証拠の所在の検索: General Area administrative resolution; normalized extracted text; Unicode codepoints 5323:5588

Only the Area Disciplinary Committee may impose a disciplinary suspension. During the period of suspension the student is barred from all University property, absent written permission from the Area Dean of Students, and is prohibited from exercising any rights and privileges of a student in the University. Unless the Area Disciplinary Committee specifically states otherwise in its decision, at the expiration of the period of suspension the student may resume active status as a student without any action on their part other than what would be required of any student who has, for a comparable period, interrupted their residence in the University for any other reason.

証拠の所在の検索: General Area sanctions, suspension/expulsion/degree revocation; normalized extracted text; Unicode codepoints 23731:24405

However, a student under suspension who has been charged with another offense may not resume active status as a student until final action has been taken on such charge by the Area Dean of Students or the Area Disciplinary Committee. The minimum length of a suspension is one full academic quarter. Disciplinary Expulsion Only the Area Disciplinary Committee may expel a student. A student who has been expelled is permanently excluded from all current and future academic programs. A student who has been expelled is barred from all University property, absent written permission from the Dean of Students in the University, and automatically forfeits all rights and privileges

証拠の所在の検索: General Area sanctions, suspension/expulsion/degree revocation; normalized extracted text; Unicode codepoints 24406:25084

as a student in the University and any degrees not actually conferred at the time of the expulsion. Revocation of the Degree The Area Disciplinary Committee may recommend revocation of the degree for misconduct that occurred before the degree was awarded.

証拠の所在の検索: General Area sanctions, suspension/expulsion/degree revocation; normalized extracted text; Unicode codepoints 25085:25340

Always refer to the instructors’ guidance on when and how generative artificial intelligence may be used in course work. Instructors may opt to limit or otherwise specify when AI tools are and are not permitted. AI usage policies may vary from course to course. Always follow the instructors’ guidance and if you are unclear about what is allowed, please ask your instructor for clarification.

証拠の所在の検索: When Can I Use Generative AI to Support My Learning?; normalized extracted text; Unicode codepoints 1772:2165

“AI” refers to artificial intelligence technology, including generative and agentic tools. A generative tool, or a feature of a tool, drafts new text, images, figures, code, audio, or video, or makes substantive edits to them. An agentic tool takes actions or completes multi-step tasks on your behalf, including without a prompt for each step. Familiar examples include Claude, ChatGPT, Copilot, and Gemini, but the term also covers open-source models, features embedded in other software, and emerging forms such as multi-agent systems. Use is defined by function, not by product name or ownership entity, and the governing question is what a feature does at the moment you use

証拠の所在の検索: Law §4.9, Autumn 2026 revision, definition; normalized extracted text; Unicode codepoints 5663:6342

it. As it is used in this Section, “AI” does not include tools that merely assist with error correction and search and retrieval of source information. Tools that identify errors or suggest corrections to grammar, spelling, or punctuation do not count as AI for purposes of this policy, even if they incorporate AI internally. A tool that rewrites entire sentences or passages, however, is generative. Tools that find, rank, or extract information from sources, including library databases and literature search, do not count as AI for purposes of this policy. A generated summary or synthesis of retrieved sources does count as AI, however, even when it appears inside a search tool.

証拠の所在の検索: Law §4.9, Autumn 2026 revision, definition; normalized extracted text; Unicode codepoints 6343:7027

a) For exams, unless the instructor specifies otherwise, the use of generative AI is absolutely prohibited in any exam. Commentary: Students must not prompt or engage with generative AI in any way during an exam and (as was always the case) every word of the exam answer must be produced by the student themselves during the exam period. This default prohibition does not extend to the use of generative AI when studying for an exam, so long as it does not violate any other aspect of this policy. For example, while preparing an outline in advance of an exam, a student could ask tools like ChatGPT for the holding of Marbury v. Madison or for a list of arguments for and

証拠の所在の検索: Law §4.9(1)(a); normalized extracted text; Unicode codepoints 7120:7792

against judicial review.

証拠の所在の検索: Law §4.9(1)(a); normalized extracted text; Unicode codepoints 7793:7817

Instructors have flexibility to set policy for the use of AI in their classes. The Law School sets a default for use of AI, but each instructor can set their own policies. 3. Deviations from the default policy shall be stated in writing in the syllabus posted on Canvas for the class. The goal of this aspect of the policy is to ensure that all parties have advance notice of the policies that apply to them, and that those policies are as clear as practicable.

証拠の所在の検索: Law §4.9(2)-(3); normalized extracted text; Unicode codepoints 9811:10272

As a general rule, students should not rely on generative AI for graded coursework or examinations, unless their instructor, program, or committee has approved that use in advance.

証拠の所在の検索: BSD Academic Integrity and Assessment; normalized extracted text; Unicode codepoints 3797:3977

Students are allowed to utilize AI tools for their coursework if all of the following conditions are met The course/instructor does not have a policy against use of AI tools for that class or on that assignment The AI tool is used as an aid, not as a substitute for the learning outcomes the assignment is intended to reach. When utilizing AI content generation software or other AI tools, students are required to appropriately acknowledge the use of these tools by citing the specific AI program(s) employed in their work in the bibliography or elsewhere on the assignment. Students should provide detail about how the AI was utilized – prompts used etc. Students should save

証拠の所在の検索: Harris Courses: Artificial Intelligence Use in Academic Work; normalized extracted text; Unicode codepoints 16835:17512

the full original AI generated text as a separate file in case the instructor requests to see it. Failing to cite use of AI constitutes academic dishonesty. The student takes full responsibility for checking AI generated content for accuracy.

証拠の所在の検索: Harris Courses: Artificial Intelligence Use in Academic Work; normalized extracted text; Unicode codepoints 17513:17755

Because generative artificial intelligence technologies – including Claude, ChatGPT, Dall-E, Grammarly, and Phoenix AI – impede the independent pursuit of these core learning goals, submitting materials prepared with the aid of generative AI tools in CCRF’s undergraduate research and national fellowships applications is prohibited.

証拠の所在の検索: CCRF AI Policy; normalized extracted text; Unicode codepoints 904:1237

Faculty and instructors will specify their policies and expectations regarding the use of AI through a syllabus statement. In the absence of such a statement, the assumption will be that any use of generative AI in the class is prohibited.

証拠の所在の検索: History Departmental AI Policy, default; normalized extracted text; Unicode codepoints 2731:2970

Faculty and instructors will refrain from any use of generative AI for grading student assignments.

証拠の所在の検索: History Departmental AI Policy, grading; normalized extracted text; Unicode codepoints 2971:3070

The use of confidential data with publicly available generative AI tools is prohibited without prior security and privacy review. This includes personally identifiable employee data, FERPA-covered student data, HIPAA-covered patient data, and may include research that is not yet publicly available.

証拠の所在の検索: §1 Protection of University Data; normalized extracted text; Unicode codepoints 1272:1571

Use of University data by vendors to train or improve their models is not permitted.

証拠の所在の検索: Review criteria; normalized extracted text; Unicode codepoints 7050:7134

Confidential data , sensitive data 1 , or restricted data should not be used with generative AI tools unless the tool and the use have been reviewed and approved through the appropriate University process.

証拠の所在の検索: General Guidelines; normalized extracted text; Unicode codepoints 951:1156

Business Conduct Policy Staff must act with honesty and integrity, safeguard confidential information, and prevent unauthorized disclosures. Prohibits recording conversations without consent. AI transcription/assistant tools may not be used to secretly record or join meetings. AI use must reflect sound judgment and protect confidential data.

証拠の所在の検索: Policy Crosswalk, Business Conduct; normalized extracted text; Unicode codepoints 2474:2817

AI tools may not be used to generate harassing, discriminatory, or otherwise unlawful content. This includes the use of AI to create or alter images, audio, and videos.

証拠の所在の検索: Policy Crosswalk, Harassment/Discrimination; normalized extracted text; Unicode codepoints 4436:4604

Entering sensitive data into AI tools without review and approval by security, privacy, and the appropriate data steward may create an unauthorized data disclosure. Such disclosures may violate University policy, federal and state law, sponsor or contract obligations, and data use agreements.

証拠の所在の検索: Unauthorized disclosures; normalized extracted text; Unicode codepoints 4605:4898

Use University-approved enterprise tools for University data; use only IRB- or data-agreement-approved tools (ex. HIPAA Claude) for human-subjects or other regulated research data. Never enter personally identifiable information, FERPA-protected student data, or unpublished or restricted research data into a GAI tool not approved for that use. Public tools may be used only with non-sensitive, public information.

証拠の所在の検索: BSD Data Protection and Approved Tools; normalized extracted text; Unicode codepoints 2433:2848

The University reserves the right to monitor the use of the service to ensure compliance with these guidelines and terms & conditions. Any monitoring is subject to the limitations set forth in the University’s Policy on Information Technology Resources and Account Privacy. Failure to comply with these guidelines may result in restricted access or other disciplinary action.

証拠の所在の検索: PhoenixAI Monitoring and Compliance; normalized extracted text; Unicode codepoints 1892:2267

Use of University data by vendors to train or improve their models is not permitted.

証拠の所在の検索: Review criteria, Data Use Restrictions; normalized extracted text; Unicode codepoints 7050:7134

Google Workspace Studio Approved up to SRDS low protection level. Automatically enabled as a new Google Workspace for Education core service that allows users to build AI-driven agents and automated workflows using natural language. Note : Data may be shared with Google for model training unless users opt out in their settings. Enterprise Supported Only non-sensitive data. December 5, 2025

証拠の所在の検索: Workspace Studio table row; normalized extracted text; Unicode codepoints 8364:8756

Generative AI systems, applications, and software products that process, analyze, or move confidential data require a security review before they are acquired, even if the software is free.

証拠の所在の検索: §4 Procuring and Acquiring Generative AI Tools; normalized extracted text; Unicode codepoints 2713:2902

If the proposed use is not prohibited by compliance regulations but exceeds standard risk tolerance, and the requester still wishes to proceed with the purchase, the request is escalated to senior leadership—the Chief Information Security Officer (CISO) and Chief Technology Officer (CTO), and the Chief Privacy Officer (CPO)—for guidance. If applicable, Information Assurance may prepare an RAL. An RAL serves as formal acknowledgment by requesting unit leadership that specific, defined risks have been reviewed and are being accepted under documented conditions.

証拠の所在の検索: Risk Acceptance Letter escalation; normalized extracted text; Unicode codepoints 7764:8329

Use of AI in a thesis, dissertation, capstone project, or independent project is subject to the mentor's, graduate program’s or, where applicable, committee's discretion, who may permit, limit, or prohibit it. Regardless of what is approved, the work's core research, analysis, and conclusions must remain the student's own; AI may support that contribution but may not substitute for it. Absent specific guidance, AI use beyond basic language editing requires prior authorization with a clearly defined scope, and any approved use must be disclosed in the final document and its role. Undisclosed or unauthorized AI use in a thesis, dissertation, or independent project is

証拠の所在の検索: BSD Thesis, Dissertation, and Independent Project Writing; normalized extracted text; Unicode codepoints 4372:5045

treated as a violation of academic integrity, consistent with the standards described above.

証拠の所在の検索: BSD Thesis, Dissertation, and Independent Project Writing; normalized extracted text; Unicode codepoints 5046:5138

AI tools may not be credited as authors on any BSD-affiliated publication or scholarly product. Where AI contributes to a manuscript, presentation, or other research output, that contribution must be disclosed in a manner consistent with the requirements of the target journal or venue. If a human-subjects research protocol also involves the use of AI tools, that use must be disclosed to the IRB.

証拠の所在の検索: BSD Research and Scholarship; normalized extracted text; Unicode codepoints 5164:5562

Azure AI Approved up to SRDS low protection level. General Use Enterprise Supported Only for non-sensitive information January 17, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Azure AI; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 4157:4292

BoxAI Approved up to SRDS high protection level. General Use Enterprise Supported Can be used for sensitive information with IRB approval. January 17, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row BoxAI; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 4293:4448

ChatGPT 3.5 Approved for data that is made publicly available by its source. General Use Free Only for non-sensitive information January 17, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row ChatGPT 3.5; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 4928:5073

ChatGPT 4.0 Approved for data that is made publicly available by its source. General Use Free Only for non-sensitive information January 17, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row ChatGPT 4.0; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 5074:5219

Anthropic Claude Commercial Accoun t Approved up to SRDS low protection level. General Use Free May 2026

証拠の所在の検索: Approved and Restricted AI Tools table, row Anthropic Claude Commercial Accoun t; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 3185:3289

Claude Code on Amazon Bedrock Approved up to SRDS low protection level. An AI-powered coding assistant that helps you build features, fix bugs, and automate development tasks. It understands your entire codebase and can work across multiple files and tools to get things done. Paid ( Procurement purchase required ) Only for non-sensitive information February 16, 2026

証拠の所在の検索: Approved and Restricted AI Tools table, row Claude Code on Amazon Bedrock; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 6959:7327

claude.ai Approved up to SRDS low protection level. General Use Paid ( Procurement purchase required ) Only for non-sensitive information; not to create website chatbots January 17, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row claude.ai; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 6772:6958

Gemini through UChicago Google Workspace Approved up to SRDS low protection level. Real-time research, complex reasoning, and integration into the tools available in Google Workspace. Enterprise Supported Only non-sensitive data. October 9, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Gemini through UChicago Google Workspace; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 8118:8363

Vertex AI Approved for data that is made publicly available by its source. General Use Paid ( Procurement purchase required ) Only for non-central GCP tenant January 17, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Vertex AI; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 14881:15055

Google Workspace Studio Approved up to SRDS low protection level. Automatically enabled as a new Google Workspace for Education core service that allows users to build AI-driven agents and automated workflows using natural language. Note : Data may be shared with Google for model training unless users opt out in their settings. Enterprise Supported Only non-sensitive data. December 5, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Google Workspace Studio; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 8364:8756

PhoenixAI https://genai.uchicago.edu/phoenixai-service-usage-guidelines General Use Enterprise-supported Can be used for sensitive information with IRB approval. June 30, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row PhoenixAI; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 11780:11955

Llama 4 Approved up to SRDS low protection level. A multimodal language model that enhances capabilities in text, image, audio, and video processing. Free Only for non-sensitive information November 10, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Llama 4; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 9863:10070

Copilot Approved up to SRDS high protection level. Various purposes to support Microsoft Products Enterprise Supported Can be used for sensitive information with IRB approval. January 17, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Copilot; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 7328:7520

NotebookLM (through UChicago Google Workspace) Approved up to SRDS low protection level. An AI -powered research and note-taking tool. Enterprise-supported Contact us to discuss your specific use case. June 30, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row NotebookLM (through UChicago Google Workspace); columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 10438:10653

Perplexity.ai Approved up to SRDS low protection level. An AI-powered search and answer engine that combines large language models with live web search to deliver conversational responses. Paid ( Procurement purchase required ) Free version may log and use identifiable queries for model improvement. Paid version has a stronger privacy policy and does not log identifiable quieres for model improvement. July 18, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Perplexity.ai; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 11227:11645

Copilot in Power BI Pro Approved up to SRDS low protection level. General Use Free May 2026

証拠の所在の検索: Approved and Restricted AI Tools table, row Copilot in Power BI Pro; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 7521:7612

Slack AI Approved for data that is made publicly available by its source. AI in Slack can summarize channels and threads and serve up daily recaps. Paid ( Procurement purchase required ) AI-generated outputs (e.g., summaries, recaps) may be posted in shared channels or viewed by multiple users. These outputs may surface, rephrase, or summarize others' messages, potentially highlighting content not intended for broader visibility. Slack’s privacy terms also permit use of data to improve AI features. Do not use with sensitive data. July 15, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Slack AI; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 13180:13729

3 Play Media Approved up to SRDS moderate protection level. Transcription service, Accessibility Paid ( Procurement purchase required ) No SRDS high protection level level data use approval. January 17, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row 3 Play Media; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 14107:14314

Adobe Acrobat (built-in features) SRDS Public Software platform primarily for creating, editing, and managing PDF documents. Free and Paid ( Procurement purchase required ) versions Only for non-sensitive information. No regulated content (e.g., FERPA, PHI, RHI, or any other restricted data). If you are a BSD or UCM user, please contact the appropriate information security team in those areas for guidance. December 1, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Adobe Acrobat (built-in features); columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 2088:2514

Adobe Acrobat AI Assistant (paid add-on) SRDS Public Software platform add-on that unlocks expanded capabilities (document-wide Q&A, full summarization, insights extraction, advanced rewrite tools). Paid ( Procurement purchase required ) Only for non-sensitive information. No regulated content (e.g., FERPA, PHI, RHI, or any other restricted data). If you are a BSD or UCM user, please contact the appropriate information security team in those areas for guidance. December 1, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Adobe Acrobat AI Assistant (paid add-on); columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 1605:2087

Airtable Approved up to SRDS low protection level. Airtable is a database tool - providing low-code applications for end users. Paid ( Procurement purchase required ) Only for non-sensitive information June 30, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Airtable; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 2515:2730

AppSpace Digital Signage Approved up to SRDS low protection level. A multimodal language model that enhances capabilities in text, image, audio, and video processing. Free Only for non-sensitive information. November 10, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row AppSpace Digital Signage; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 3290:3515

Artist AI Approved up to SRDS low protection level AI-powered canvas integration for personalized learning and curriculum design. Paid ( Procurement purchase required ) Only for non-sensitive information. February 24, 2026

証拠の所在の検索: Approved and Restricted AI Tools table, row Artist AI; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 3516:3738

Asana Approved up to SRDS low protection level. Project Management Paid ( Procurement purchase required ) Only for non-sensitive information June 30, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Asana; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 3739:3893

CampusESP: Family Communication Module Approved up to SRDS low protection level. Helps higher education institutions share content with families across web, mobile, email, and SMS. Paid ( Procurement purchase required ) Only for non-sensitive information June 30, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row CampusESP: Family Communication Module; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 4449:4717

Chat2Learn Approved up to SRDS moderate protection level. Provide conversation topics for parents to talk to their kids. Paid ( Procurement purchase required ) No SRDS high protection level level data use approval January 17, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Chat2Learn; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 5220:5450

Chatfuel Approved up to SRDS low protection level. Administers surveys on Facebook as part of an ongoing research project Paid ( Procurement purchase required ) Only for non-sensitive information June 30, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Chatfuel; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 4718:4927

ClassBuddy Approved up to SRDS low protection level. Teaching Assistant that ingests uploaded course material from Canvas into its knowledgebase. Paid ( Procurement purchase required ) Only for non-sensitive information. January 17, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row ClassBuddy; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 5451:5688

DeepRoots Approved for data that is made publicly available by its source. Research Projects Free

証拠の所在の検索: Approved and Restricted AI Tools table, row DeepRoots; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 7613:7710

ExtraHop AI Approved for all data types For information security Paid ( Procurement purchase required ) Can be used with sensitive flow data. January 17, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row ExtraHop AI; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 7711:7869

GatherContent by Bynder Approved up to SRDS low protection level. Helps organizations scale up content production and deliver better quality content faster. Paid ( Procurement purchase required ) Only for non-sensitive information January 17, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row GatherContent by Bynder; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 7870:8117

Gravyty Chatbot Approved for data that is made publicly available on University websites and institutionally approved documentation. Website chatbot designed for higher education. Paid ( Procurement purchase required ) The chatbot shall be restricted to using only University websites and institutionally approved documentation as its information sources. It shall not retrieve, reference, or generate responses based on publicly available Internet content, in order to ensure the accuracy of answers and protect the institution’s reputation. July 18, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Gravyty Chatbot; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 8757:9313

Keen Platform Approved up to SRDS low protection level. Marketing decision support Paid ( Procurement purchase required ) Only for non-sensitive information January 17, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Keen Platform; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 9456:9629

Mail Maestro Approved up to SRDS low protection level. AI email assistant Enterprise-supported Only for non-sensitive information June 30, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Mail Maestro; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 10294:10437

Noodle Partners, PBC: Manage and Engage AI Approved up to SRDS low protection level. Manage AI: An AI-driven platform that helps improve programs and support students by turning data from systems like LMS and CRM. Engage AI: Uses public program data to engage prospective students in personalized conversations. Paid ( Procurement purchase required ) Only for non-sensitive information June 30, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Noodle Partners, PBC: Manage and Engage AI; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 10654:11053

Parlay Ideas Approved up to SRDS low protection level. Creating class discussions Paid ( Procurement purchase required ) Only for non-sensitive information January 17, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Parlay Ideas; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 11054:11226

Pensieve AI Approved up to SRDS low protection level. Grades student work. Free Only for non-sensitive information. November 10, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Pensieve AI; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 11646:11779

Point and Click AI Approved up to SRDS high protection level. Enhance features and efficiency of wellness services provided to students. Paid ( Procurement purchase required ) Only for non-sensitive information June 30, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Point and Click AI; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 11956:12180

Python package Bertopic Approved up to SRDS low protection level. A topic modeling technique that leverages transformers and c-TF-IDF to create dense clusters allowing for easily interpretable topics whilst keeping important words in the topic descriptions. Free Only for non-sensitive information November 10, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Python package Bertopic; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 12181:12496

REV Approved up to SRDS moderate protection level. Transcription service that uses both human and AI (speech recognition). Paid ( Procurement purchase required ) No SRDS high protection level level data use approval. June 30, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row REV; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 12497:12727

Scribe Approved up to SRDS low protection level. SOP Documentation Free May 2026

証拠の所在の検索: Approved and Restricted AI Tools table, row Scribe; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 12728:12808

Scribe AI Approved up to SRDS low protection level. AI email assistant Paid ( Procurement purchase required ) Only for non-sensitive information June 30, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Scribe AI; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 12809:12967

Site Improve Intelligence Approved up to SRDS low protection level. Helps enterprises plan, create and optimize content. Paid ( Procurement purchase required ) Only for non-sensitive information January 17, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Site Improve Intelligence; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 12968:13179

Sonix AI Approved up to SRDS low protection level. Transcription service Paid ( Procurement purchase required ) Only for non-sensitive information. January 17, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Sonix AI; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 13730:13894

SprinklrAI+ Approved up to SRDS low protection level. Designed to enhance customer experience management across enterprises Paid ( Procurement purchase required ) Only for non-sensitive information June 30, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row SprinklrAI+; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 13895:14106

Tunnl Platform Approved up to SRDS low protection level. Allows users to build audiences and helps market to those audiences Paid ( Procurement purchase required ) Only for non-sensitive information January 17, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Tunnl Platform; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 14315:14530

Ubiqus / Acolad Approved up to SRDS moderate protection level. Transcription/translation service Paid ( Procurement purchase required ) No SRDS high protection level level data use approval. June 30, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Ubiqus / Acolad; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 14531:14735

Valo Approved up to SRDS moderate protection level (but more internal systems). Event Monitoring Paid ( Procurement purchase required ) May 2026

証拠の所在の検索: Approved and Restricted AI Tools table, row Valo; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 14736:14880

Xapien Approved up to SRDS low protection level. Research engine used for due diligence on donors and partners. Paid ( Procurement purchase required ) Only for non-sensitive information June 30, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Xapien; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 15056:15255

Zoom AI Companion Approved up to SRDS high protection level. Taking meeting notes Enterprise-supported Can be used to take notes that include sensitive information January 17, 2025

証拠の所在の検索: Approved and Restricted AI Tools table, row Zoom AI Companion; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 15256:15436

If a proposed tool or use case isn't listed on this table, the next step depends on whether the tool requires payment for use. For paid tools , individuals should submit a request through the Service Now Procurement Intake . For free tools , if a researcher or staff member intends to use a generative AI tool (including free tools, extensions, or research platforms) with sensitive data, or in research contexts that would not otherwise be reviewed through Procurement, please complete the Generative AI Tool Evaluation Form . Please note : even when a tool is listed as approved, it is not risk-free. Approval simply means the tool can be used under specific conditions, but

証拠の所在の検索: Review path and approval caveat; normalized extracted text; Unicode codepoints 487:1163

not that all data is safe to enter. Users are still responsible for evaluating the sensitivity of their data, understanding vendor limitations, and ensuring that confidential, regulated, or contract-restricted information is not shared with AI tools unless explicitly allowed.

証拠の所在の検索: Review path and approval caveat; normalized extracted text; Unicode codepoints 1164:1440

even when a tool is listed as approved, it is not risk-free. Approval simply means the tool can be used under specific conditions, but not that all data is safe to enter. Users are still responsible for evaluating the sensitivity of their data, understanding vendor limitations, and ensuring that confidential, regulated, or contract-restricted information is not shared with AI tools unless explicitly allowed.

証拠の所在の検索: Approval caveat; normalized extracted text; Unicode codepoints 1029:1440

PhoenixAI https://genai.uchicago.edu/phoenixai-service-usage-guidelines General Use Enterprise-supported Can be used for sensitive information with IRB approval. June 30, 2025

証拠の所在の検索: PhoenixAI table row; normalized extracted text; Unicode codepoints 11780:11955

ChatGPT 3.5 Approved for data that is made publicly available by its source. General Use Free Only for non-sensitive information January 17, 2025

証拠の所在の検索: ChatGPT 3.5 table row; normalized extracted text; Unicode codepoints 4928:5073

ChatGPT 4.0 Approved for data that is made publicly available by its source. General Use Free Only for non-sensitive information January 17, 2025

証拠の所在の検索: ChatGPT 4.0 table row; normalized extracted text; Unicode codepoints 5074:5219

Generative AI at UChicago | University of Chicago Skip to main content The University of Chicago Search Generative AI at UChicago About Back About Generative AI Guidance Policies for the Use of AI Tools Video Series Generative AI Tools Back Generative AI Tools Approved Restricted or Unauthorized Tools Resources Back Resources Faculty and Instructors Students Staff Researchers Training AI User Group Success Stories News and Events Main content Generative AI at UChicago Generative artificial intelligence (AI) is a quickly evolving technology that offers capabilities to enhance teaching and learning, research, and administrative work at the University of Chicago.

証拠の所在の検索: Official Generative AI hub; normalized extracted text; Unicode codepoints 0:668

AI tools embedded in Chrome extensions Contact us to discuss your specific use case Add-ons that provide AI-enhanced features such as writing assistance, summarization, or productivity enhancements directly within the browser. Free Most Chrome extensions—AI or not—can capture browsing history, keystrokes, or sensitive data. Many are developed by unknown vendors and lack oversight or data security. Use of any extension should be carefully vetted. N/A

証拠の所在の検索: Approved and Restricted AI Tools table, row AI tools embedded in Chrome extensions; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 2731:3184

AWS Textract Approved up to SRDS moderate protection level. Extracts text, tables, forms, and key information from documents such as PDFs, images, invoices, receipts, and IDs. Paid ( Procurement purchase required ) Only for non-sensitive information June 9, 2026

証拠の所在の検索: Approved and Restricted AI Tools table, row AWS Textract; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 3894:4156

Claude Chat Approved up to SRDS low protection level. Enables interactive, natural language conversations via a chat interface. Enterprise Supported Researchers that want to use Claude should work with their IRB, if applicable, and review any data use agreements to make sure such use is permitted. Data at SRDS-Moderate SRDS-High protection levels require further discussion. July 10, 2026

証拠の所在の検索: Approved and Restricted AI Tools table, row Claude Chat; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 5689:6079

Claude Code Approved up to SRDS low protection level. Claude Code provides advanced support for programming. Enterprise-supported Only for non-sensitive information July 10, 2026

証拠の所在の検索: Approved and Restricted AI Tools table, row Claude Code; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 6080:6258

Claude Cowork Approved up to SRDS low protection level. Cowork integrates Claude into platforms like Teams and Google Drive, helping enable groups to brainstorm ideas, organize projects, automate routine tasks, and manage workflows more efficiently. Enterprise Supported Researchers that want to use Claude should work with their IRB, if applicable, and review any data use agreements to make sure such use is permitted. Data at SRDS-Moderate SRDS-High protection levels require further discussion. July 10, 2026

証拠の所在の検索: Approved and Restricted AI Tools table, row Claude Cowork; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 6259:6771

HIPAA Claude Includes additional safeguards for sensitive health data, for those who work with PHI or RHI. Enterprise Supported July 10, 2026

証拠の所在の検索: Approved and Restricted AI Tools table, row HIPAA Claude; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 9314:9455

Krea.ai Approved up to SRDS low protection level. Enables users to generate, edit, and enhance images, videos, and 3D content from text prompts. Paid ( Procurement purchase required ) Only for non-sensitive information June 26, 2026

証拠の所在の検索: Approved and Restricted AI Tools table, row Krea.ai; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 9630:9862

LumaLabs AI Approved up to SRDS low protection level. Generates and edits images, videos, audio, and text from natural language prompts Paid ( Procurement purchase required ) Only for non-sensitive information June 5, 2026

証拠の所在の検索: Approved and Restricted AI Tools table, row LumaLabs AI; columns: tool/status/purpose/payment/restrictions/reviewed date; normalized extracted text; Unicode codepoints 10071:10293

The service is intended for educational, research, and professional development purposes. Using the service for commercial purposes is not permitted.

証拠の所在の検索: PhoenixAI Additional Guidelines, Purpose; normalized extracted text; Unicode codepoints 1714:1863

AI-generated content may be misleading or inaccurate. Generative AI technology may create citations to content that does not exist. Responses from generative AI tools may contain content and materials from other authors and may be copyrighted. It is the responsibility of the tool user to review the accuracy and ownership of any AI-generated content.

証拠の所在の検索: §2 Responsibility for Content Accuracy and Ownership; normalized extracted text; Unicode codepoints 2048:2399