Policy presence
University of Wisconsin-Madison has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Madison, United States
University of Wisconsin-Madison
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
AI disclosure
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Coursework
University of Wisconsin-Madison has 5 source-backed public claims for coursework; deterministic analysis status: required.
Exams
University of Wisconsin-Madison has 4 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
University of Wisconsin-Madison has 4 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Wisconsin-Madison has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Approved tools
University of Wisconsin-Madison has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
University of Wisconsin-Madison has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
University of Wisconsin-Madison has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of Wisconsin-Madison has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Security and procurement
University of Wisconsin-Madison has 2 source-backed public claims for security and procurement; deterministic analysis status: blocked.
AI tools
Evidence-backed claims
8 reviewed evidence-backed public claim
Source Status
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.
Review: Agent reviewed
Normalized value: University-wide AI use policy guidance exists
Original evidence
Evidence 1All university faculty, staff, students and affiliates must follow these policies. As with everything you do at the university, you must follow UW-Madison, UW System Administration (UWSA) and UW System Board of Regents policies when using generative AI tools and services.
Localized display only
The page states that all university community groups listed must follow the AI-use policies.
Privacy
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.
Review: Agent reviewed
Normalized value: Protected data requires reviewed AI tool before entry
Original evidence
Evidence 1You may not enter any sensitive, restricted or otherwise protected data into any generative AI tool or service unless it has undergone appropriate internal review.
Localized display only
Protected institutional data is barred from generative AI tools unless the tool has received internal review.
Academic Integrity
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.
Review: Agent reviewed
Normalized value: Students must know or ask about instructor AI expectations
Original evidence
Evidence 1Students are responsible for knowing their instructor's expectations when it comes to using AI tools. If it is unclear whether AI tools are allowed in a particular course or for an assignment, it is the student's responsibility to ask their instructor before using them.
Localized display only
Student Conduct places responsibility on students to know instructor expectations for AI tool use.
Security Review
UW-Madison identifies use of AI-generated code in institutional IT systems or services without human review for malicious elements as a prohibited use.
Review: Agent reviewed
Normalized value: AI-generated institutional code requires human review for malicious elements
Original evidence
Evidence 1Using AI-generated code for institutional IT systems or services without review by a human to verify the absence of malicious elements
Localized display only
The CISO statement lists unreviewed AI-generated code for institutional IT systems as an explicitly prohibited use.
Privacy
UW-Madison Registrar guidance says UW-Madison-provided AI meeting summarization tools are generally approved for use with FERPA data, but unit leadership decides whether and how they may be used.
Review: Agent reviewed
Normalized value: FERPA use of AI meeting summarization tools is generally approved subject to unit leadership
Original evidence
Evidence 1UW-Madison-provided AI meeting summarization tools are generally approved for use with FERPA data. Unit leadership decides whether the tools may be used, including restrictions on the types of meetings it can be used for.
Localized display only
Registrar guidance generally approves UW-Madison-provided AI meeting summarization tools for FERPA data.
Ai Tool Treatment
UW-Madison states that it has vetted and secured contracts for listed generative AI services that are available university-wide for free and provide higher data security and privacy protection than public services.
Review: Agent reviewed
Normalized value: University provides vetted enterprise generative AI services
Original evidence
Evidence 1UW-Madison has vetted and secured contracts for the generative AI services below. These tools are available university-wide for free and provide higher data security and privacy protection than public services.
Localized display only
UW-Madison says the listed generative AI services are vetted and contract-secured.
Teaching
UW-Madison's CTLM generative AI teaching guidance says instructors and administrators are responsible for protecting student privacy and intellectual work, securing FERPA-protected data, and following university policies that apply to generative AI.
Review: Agent reviewed
Normalized value: Teaching guidance emphasizes privacy, intellectual work, FERPA, and applicable policies
Original evidence
Evidence 1Instructors and administrators are responsible for protecting student privacy and intellectual work, as well as securing FERPA-protected data. They must also follow university policies that apply to the use of generative AI.
Localized display only
The teaching guidance assigns privacy, intellectual-work, and FERPA-protected data responsibilities to instructors and administrators.
Teaching
UW-Madison CTLM encourages instructors to communicate expectations for students' use of generative AI tools early and throughout a course, including through syllabi, Canvas, and course discussion.
Review: Agent reviewed
Normalized value: Instructors encouraged to communicate AI expectations
Original evidence
Evidence 1UW-Madison encourages instructors to share their expectations regarding students' use of generative artificial intelligence (AI) tools both at the beginning of a course and throughout the semester. Instructors may communicate their expectations to students in a variety of ways such as via their syllabi, in Canvas, and during course discussions and activities.
Localized display only
CTLM encourages instructors to share expectations about students' use of generative AI tools.
Candidate claims
0 machine or needs-review claim
Official sources
7 source attribution
AI statements for course syllabi
ctlm.wisc.edu
FERPA and Artificial Intelligence (AI)
registrar.wisc.edu
Generative AI @ UW-Madison: use & policies
it.wisc.edu
Generative AI Services at UW-Madison: Tools, Policies & Resources
it.wisc.edu
Generative Artificial Intelligence
conduct.students.wisc.edu
Statement on use of generative AI
it.wisc.edu
UW-Madison Guiding Principles for Generative AI in Teaching
ctlm.wisc.edu