Change log

University of Wisconsin-Madison

Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.

Change summary

Current public record freshness and review state.

University of Wisconsin-Madison currently has 8 source-backed claim records and 7 official source attributions. Latest tracked changed date: May 14, 2026. No tracker diff rows are recorded in the latest public release.

This page combines all public release diffs for University of Wisconsin-Madison. Individual release snapshots remain available from their release-specific URLs.

No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.

This tracker is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.

Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.

Diff categories

Semantic classification for this release diff.

Policy text0Newly extracted0Evidence0Source snapshots0Source text0Source added0Source removed0

Combined release diff

Unified tracker diff generated from all public release snapshots for this university.

University of Wisconsin-Madison combined release diff

Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.

+16-0
11 # University of Wisconsin-Madison AI policy record
2+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.
3+Evidence (en, 4dd9996caac8): All 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.
4+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.
5+Evidence (en, 4dd9996caac8): You may not enter any sensitive, restricted or otherwise protected data into any generative AI tool or service unless it has undergone appropriate internal review.
6+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.
7+Evidence (en, c0ac98377ae3): Students 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.
8+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.
9+Evidence (en, 160b00ca7ba4): Using AI-generated code for institutional IT systems or services without review by a human to verify the absence of malicious elements
10+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.
11+Evidence (en, f54dac77907a): UW-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.
12+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.
13+Evidence (en, f9fc7cb96444): UW-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.
14+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.
15+Evidence (en, 8d771add8866): Instructors 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.
16+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.
17+Evidence (en, 7df7357460e4): UW-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.

Release history

0 public release diffs

Claim changes

8 claim records

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 reviewedConfidence92%Evidence1Languagesen

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 reviewedConfidence94%Evidence1Languagesen

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 reviewedConfidence94%Evidence1Languagesen

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 reviewedConfidence95%Evidence1Languagesen

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 reviewedConfidence93%Evidence1Languagesen

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 reviewedConfidence94%Evidence1Languagesen

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 reviewedConfidence95%Evidence1Languagesen

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 reviewedConfidence96%Evidence1Languagesen

Source snapshots

7 source attributions