Madison, United States Last checked

University of Wisconsin-Madison

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Coursework & Instructor Rules

Instructor Determined

Students are responsible for knowing each instructor's specific expectations; permissions vary across courses and assignments, and students must ask their instructor if guidelines are unclear.

Official source ↗

Examinations & Assessment

Ask When Unclear

When it is unclear whether AI is allowed in a course or assignment, students are responsible for asking the instructor before use.

Official source ↗

AI Disclosure & Syllabi

Citation Guidance

Instructors are encouraged to communicate specific syllabus AI expectations to students; standardized university library citation mandates for all courses remain an unverified gap.

Official source ↗

Data Security & FERPA

Review Required

Sensitive, restricted or otherwise protected data must not be entered into a generative AI tool or service unless it has undergone appropriate internal review.

Official source ↗

Campus Enterprise AI Tools

Core Tools Available

UW–Madison provides Microsoft Copilot Chat to eligible students and staff with institutional credentials; campus-wide enterprise licensing for multiple commercial platforms remains an unverified gap.

Official source ↗

Human Research & IRB Approval

IRB Approval Required

Under the July 22, 2026 IRB guidance, any use of AI tools in research involving human participants must be detailed in the IRB protocol and approved prior to implementation, with strict data classification applied to participant data and PHI.

Official source ↗
More reviewed record topics

Academic Integrity & Misconduct

Instructor Meeting First

Student conduct guidance provides that an instructor suspecting unauthorized AI use should contact the student directly to have a meeting regarding their concerns.

Official source ↗

Teaching Principles & FERPA

CTLM Principles

CTLM guiding principles direct educators to design pedagogically meaningful assessments, protect student intellectual property and FERPA records, and continuously articulate course expectations.

Official source ↗

IT Security & Code Review

Human Review Required

Institutional guidance requires human oversight and review of any AI-assisted code before implementation; formal centralized procurement approval workflows for all commercial AI tools remain an unverified gap.

Official source ↗

Before you submit

Do

  • When it is unclear whether AI is allowed in a course or assignment, ask your instructor before use.
    Requirement in this scope
  • Ensure any generative AI usage in human participant research is explicitly described in the IRB application and approved prior to use.
    Requirement in this scope

Don’t

  • Do not enter sensitive, restricted, FERPA-protected, or confidential research data into any generative AI tool without internal review.
    Requirement in this scope
  • Do not assume campus tool access grants permission in a course or assessment; ask your instructor when unsure.
    Site advice

AI use questioned?

University of Wisconsin-Madison

UW–Madison baseline: AI permissions are instructor- and assignment-determined; campus tool access does not confer exam authorization; sensitive data entry requires internal review; human research AI requires IRB approval; centralized multi-platform licensing remains an unverified gap.

Investigation & response

Student conduct guidance instructs that an instructor suspecting unauthorized AI use should contact the student directly to discuss concerns.

Original evidence and scope

Student conduct guidance instructs that an instructor suspecting unauthorized AI use should contact the student directly to discuss concerns.

academic_integrity:uw-integrity-instructor-suspects-meeting-group

Student conduct guidance and Chapter UWS 14 framework

If your instructor suspects you have used ChatGPT or other AI tools contrary to their expectations, they should contact you directly to have a meeting about their concerns.

Section: Suspected AI Misconduct Meeting

Official university source ↗

Possible outcomes

The current evidence does not include a verified specific procedure or deadline. Check the applicable university rules.

Review & appeal

The current evidence does not include a verified specific procedure or deadline. Check the applicable university rules.

Tool discovery records: scope pending review

Tool discovery information and cited sources are retained. Current account eligibility, cost, endorsement and assessment permission are not confirmed.

Adobe Firefly

AWS Bedrock

Google Cloud Platform AI Services

Google Gemini

Google NotebookLM

Google Workspace Studio

Microsoft Azure AI Services

Microsoft Copilot Chat

Webex AI Assistant

Zoom AI Companion

Record updatesLast 90 days · Recorded updates: 1

Updates to this site's reviewed record, not confirmation that the university changed its policy.

  1. Page update

    Other records · Page update

    View revision

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Reviewed claims

18

Official sources

8 official URLs; 9 source attributions and their captured versions retained.

Access generative AI tools at UW-Madison

it.wisc.edu

University official source

it.wisc.edu

Hash and captured version

Access generative AI tools at UW-Madison · 2026-07-16T00:11:43.896Z

Representation unspecified in this historical record; do not assume an original-file hash.

3b67322e64f3419aaaf128c9d71b836f18e2e5757094b5d912152a4f68fb629b

Generative AI Services at UW-Madison: Tools, Policies & Resources · 2026-05-14T05:32:40Z

Representation unspecified in this historical record; do not assume an original-file hash.

f9fc7cb96444700247c99d4cc8a370f7fe172e4f79fdc698b6549bc2805369da

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

AI statements for course syllabi

ctlm.wisc.edu

University official source

ctlm.wisc.edu

Hash and captured version

AI statements for course syllabi · 2026-05-14T05:32:20Z

Representation unspecified in this historical record; do not assume an original-file hash.

7df7357460e45600e98296b59a8734e019cf95d53689175c3b9c51208a5d8656

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

FERPA and Artificial Intelligence (AI)

registrar.wisc.edu

University official source

registrar.wisc.edu

Hash and captured version

FERPA and Artificial Intelligence (AI) · 2026-05-14T05:32:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

f54dac77907aae65797f18f179e0d1255af963ac231fd01cc34fdec9ecb76231

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Generative AI @ UW-Madison: use & policies

it.wisc.edu

University official source

it.wisc.edu

Hash and captured version

Generative AI @ UW-Madison: use & policies · 2026-05-14T05:31:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

4dd9996caac8875a2b41fb8daa5745c35c3e33951ebeb5efa8fcaf86653eee11

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Generative AI Tools Available at UW-Madison

kb.wisc.edu

University official source

kb.wisc.edu

Hash and captured version

Generative AI Tools Available at UW-Madison · 2026-07-16T00:07:43.896Z

Representation unspecified in this historical record; do not assume an original-file hash.

81fba56eccad163f68e18c62cbdcf75f5ac54a39baa8c158a396740a65a0c56c

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Generative Artificial Intelligence

conduct.students.wisc.edu

University official source

conduct.students.wisc.edu

Hash and captured version

Generative Artificial Intelligence · 2026-05-14T05:31:40Z

Representation unspecified in this historical record; do not assume an original-file hash.

c0ac98377ae302b12b1e163d3a5ae8f9d7278ee2edef1ece4ce6d68dc17fa540

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Statement on use of generative AI

it.wisc.edu

University official source

it.wisc.edu

Hash and captured version

Statement on use of generative AI · 2026-05-14T05:33:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

160b00ca7ba45ae9ecdd16f848f2524b47ebd6943dfaff06d8b50bc3025e7164

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

UW-Madison Guiding Principles for Generative AI in Teaching

ctlm.wisc.edu

University official source

ctlm.wisc.edu

Hash and captured version

UW-Madison Guiding Principles for Generative AI in Teaching · 2026-05-14T05:31:20Z

Representation unspecified in this historical record; do not assume an original-file hash.

8d771add88669ee61e0b715b93a22b231ddc5099d856c3ba82bc4bb91ca1b627

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗
Record information, JSON & citation

Review layers: claim review applies to the claims only. Analysis is a separate machine-generated summary awaiting review. Coverage scores do not establish complete policy knowledge.

Claim review state
agent_reviewed
Analysis review state
machine_candidate
Record revision
v6-qs101-120-presentation-20261028
Dataset release
public-release-20260924-002
Correction published
Student snapshot
Not published
Current reviewed JSON · All record history

Published V6 presentation; JSON and MCP retain the existing public record. Supplementary quotations and scope notes remain pending review. Local candidate corrections, tools and student summaries are not approved for publication. Institution-wide audit remains PARTIAL.

  • Specific Chapter UWS 14 academic misconduct sanction tariffs and exact appeal filing windows for generative AI misuse are not detailed in published campus AI guidance and remain an unverified policy gap.
  • Formal disciplinary outcome schedules and appeal procedures under UW-Madison student conduct regulations are not fully evidenced by the instructor meeting excerpt.
        Current reviewed JSON
        Questions students ask

        Questions students ask

        Can I use AI for my coursework?

        Students are responsible for knowing each instructor's specific expectations; permissions vary across courses and assignments, and students must ask their instructor if guidelines are unclear.

        View evidence →
        Do I need to disclose AI use?

        Instructors are encouraged to communicate specific syllabus AI expectations to students; standardized university library citation mandates for all courses remain an unverified gap.

        View evidence →
        Can I upload sensitive data?

        Sensitive, restricted or otherwise protected data must not be entered into a generative AI tool or service unless it has undergone appropriate internal review.

        View evidence →
        Which tools can I access?

        UW–Madison provides Microsoft Copilot Chat to eligible students and staff with institutional credentials; campus-wide enterprise licensing for multiple commercial platforms remains an unverified gap.

        View evidence →
        What are the examination rules?

        When it is unclear whether AI is allowed in a course or assignment, students are responsible for asking the instructor before use.

        View evidence →
        What rules apply to research and publication?

        Under the July 22, 2026 IRB guidance, any use of AI tools in research involving human participants must be detailed in the IRB protocol and approved prior to implementation, with strict data classification applied to participant data and PHI.

        View evidence →
        What counts as academic misconduct?

        Student conduct guidance provides that an instructor suspecting unauthorized AI use should contact the student directly to have a meeting regarding their concerns.

        View evidence →
        What guidance applies to teaching?

        CTLM guiding principles direct educators to design pedagogically meaningful assessments, protect student intellectual property and FERPA records, and continuously articulate course expectations.

        View evidence →
        What security and procurement requirements apply?

        Institutional guidance requires human oversight and review of any AI-assisted code before implementation; formal centralized procurement approval workflows for all commercial AI tools remain an unverified gap.

        View evidence →
        When was this record checked?

        Record checked:

        Record version →
        Which official sources support these rules?Official source →
        Where can I read the full evidence?

        18 · Full policy evidence

        Full policy evidence →