Change log

University of Michigan-Ann Arbor

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.

Review: Agent reviewedLast checkedMay 10, 2026Last changedMay 10, 2026Claims8Sources8Release records0

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University of Michigan-Ann Arbor currently has 8 source-backed claim records and 8 official source attributions. Latest tracked changed date: May 10, 2026. No tracker diff rows are recorded in the latest public release.

This page combines all public release diffs for University of Michigan-Ann Arbor. 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.

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11 # University of Michigan-Ann Arbor AI policy record
2+ai_tool_treatment: U-M ITS offers a generative AI platform available to all active U-M faculty, staff, and students on the Ann Arbor, Flint, and Dearborn campuses and Michigan Medicine, with service offerings described as equitable and accessible.
3+Evidence (en, 893178af5c91): ITS is now offering a generative AI platform available to all active U-M faculty, staff, and students on the Ann Arbor, Flint, and Dearborn campuses and Michigan Medicine. These service offerings are equitable, accessible, and support everything from basic consumer usage to advanced research and experimentation.
4+academic_integrity: U-M does not recommend the use of AI-detection technology given their high error rate. False positives and negatives are possible, and even likely.
5+Evidence (en, b8f0b533c74e): U-M does not recommend the use of AI-detection technology at this time given their high error rate. False positives and negatives are possible, and even likely.
6+privacy: U-M requires using approved ITS AI Services for university data. Only data classified as Low may be used with AI services lacking a U-M contract or data agreement.
7+Evidence (en, 86f1343685c0): When working with university data in AI platforms: Use approved ITS AI Services. Only use university data classified as Low with AI services that do not have a contract or data agreement with U-M.
8+security_review: U-M requires that AI-generated computer code is always reviewed by a human, with professionally trained peer code reviews for applications handling Restricted or High data.
9+Evidence (en, 86f1343685c0): Ensure AI-generated computer code is always reviewed by a human. Conduct code reviews with professionally trained peers for all new or significantly changed applications, particularly those that maintain, process, transmit, or store data classified as Restricted or High.
10+privacy: U-M ITS AI Services include HIPAA safeguards and may be used with Protected Health Information (PHI).
11+Evidence (en, 893178af5c91): ITS AI Services include the safeguards required by HIPAA. Accordingly, you may use these services with Protected Health Information (PHI).
12+academic_integrity: U-M requires AI use in teaching and learning to align with principles of honesty, candor, openness, and integrity in scholarship and research, including appropriate disclosure and citation.
13+Evidence (en, 86f1343685c0): When using AI services for teaching, learning and knowledge production, U-M community members must: Align with the university's principles for honesty, candor, openness, and integrity in scholarship and research, including appropriate disclosure and citation where AI has been used.
14+teaching: U-M leaves GenAI policy to individual instructors, who may allow, restrict, or forbid AI use in their courses. Course policies should be clearly articulated in syllabi.
15+Evidence (en, a34dec58d56d): Instructors are disciplinary experts responsible for what is taught, appropriate pedagogies, and assessment methodologies. GenAI may influence all three, and as such, instructors need flexibility to allow or disallow the use of GenAI tools.
16+privacy: U-M advises students that data shared with external AI tools is not private and may be accessible by external parties. Students should not share private or sensitive information.
17+Evidence (en, 3a9af93df94b): Understand that in most cases, the data you share is not private and will be accessible by external parties hosting the GenAI-based tools. Do not share information that is considered private, or sensitive, such as credit card information, personal details such as ID numbers or addresses, and so on.

Release history

0 public release diffs

Claim changes

8 claim records

ai_tool_treatment

U-M ITS offers a generative AI platform available to all active U-M faculty, staff, and students on the Ann Arbor, Flint, and Dearborn campuses and Michigan Medicine, with service offerings described as equitable and accessible.

Review: Agent reviewedConfidence98%Evidence1Languagesen

academic_integrity

U-M does not recommend the use of AI-detection technology given their high error rate. False positives and negatives are possible, and even likely.

Review: Agent reviewedConfidence95%Evidence1Languagesen

privacy

U-M requires using approved ITS AI Services for university data. Only data classified as Low may be used with AI services lacking a U-M contract or data agreement.

Review: Agent reviewedConfidence95%Evidence1Languagesen

security_review

U-M requires that AI-generated computer code is always reviewed by a human, with professionally trained peer code reviews for applications handling Restricted or High data.

Review: Agent reviewedConfidence95%Evidence1Languagesen

privacy

U-M ITS AI Services include HIPAA safeguards and may be used with Protected Health Information (PHI).

Review: Agent reviewedConfidence95%Evidence1Languagesen

academic_integrity

U-M requires AI use in teaching and learning to align with principles of honesty, candor, openness, and integrity in scholarship and research, including appropriate disclosure and citation.

Review: Agent reviewedConfidence93%Evidence1Languagesen

teaching

U-M leaves GenAI policy to individual instructors, who may allow, restrict, or forbid AI use in their courses. Course policies should be clearly articulated in syllabi.

Review: Agent reviewedConfidence92%Evidence1Languagesen

privacy

U-M advises students that data shared with external AI tools is not private and may be accessible by external parties. Students should not share private or sensitive information.

Review: Agent reviewedConfidence90%Evidence1Languagesen