Check University of Wisconsin–Madison AI Policy Online
Check University of Wisconsin–Madison's official AI guidance, academic-integrity rules, disclosure requirements, and course-specific restrictions before using generative AI.
Verified from official university sourcesQuick Policy Overview
Depends on instructor
Depends; citation required in many policy models
Instructors set the rules for their own courses.
Teaching resources updated through 2026
Checked against official university sources.
1. Summary
UW–Madison grounds AI use in academic integrity but expects instructors to communicate their own rules. Sample policies treat uncited AI use as cheating.
Hybrid Check primary source.Use scope: Depends on instructor.
Disclosure: Depends; citation required in many policy models.
Instructor/course rules can override the general university guidance.
Integrity: UW–Madison grounds AI use in academic integrity but expects instructors to communicate their own rules.
Check primary source.
2. Why Check This Policy
Wisconsin is important to check because university principles do not settle whether a particular tool or stage of work is allowed. A syllabus may require citation, prohibit AI, or permit limited assistance, and fabricated AI citations can create an additional misconduct risk.
3. When AI Is Commonly Allowed
Uses that are allowed with disclosure, attribution, or citation.
Only if your instructor allows it for the specific assignment.
4. When AI Is Commonly Restricted
Any use that an instructor, school, or program explicitly prohibits.
Always check your course syllabus for specific restrictions.
5. Disclosure Requirements
Depends; citation required in many policy models.
Sample policies treat uncited AI use as cheating.
Where AI use is permitted, disclosure usually takes one of these forms:
- A statement or acknowledgement in your submission
- A citation of the AI tool, in the format your course requires
- A short methods note describing how AI was used
Follow the exact format your instructor or department requires.