Ann Arbor, United States

University of Michigan-Ann Arbor

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage8 reviewedEvidence-backed claims8Reviewed8Candidate0Official sources8Source languageenPublic JSON/api/public/v1/universities/university-of-michigan-ann-arbor.json

Policy profile

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence80%

Policy presence

University of Michigan-Ann Arbor has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence79%Evidence2Sources2

AI disclosure

University of Michigan-Ann Arbor has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence79%Evidence1Sources1

Academic integrity

University of Michigan-Ann Arbor has 2 source-backed public claims for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence80%Evidence2Sources2

Research guidance

University of Michigan-Ann Arbor has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence79%Evidence1Sources1

Security and procurement

University of Michigan-Ann Arbor has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence81%Evidence1Sources1

AI tools

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

8 reviewed evidence-backed public claim

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%

Normalized value: university_provides_custom_ai_tools

Original evidence

Evidence 1
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.

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%

Normalized value: ai_detection_not_recommended

Original evidence

Evidence 1
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.

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%

Normalized value: data_classification_ai_rules

Original evidence

Evidence 1
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.

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%

Normalized value: ai_generated_code_must_be_human_reviewed

Original evidence

Evidence 1
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.

Privacy

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

Review: Agent reviewedConfidence95%

Normalized value: ai_services_include_hipaa_safeguards

Original evidence

Evidence 1
ITS AI Services include the safeguards required by HIPAA. Accordingly, you may use these services with Protected Health Information (PHI).

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%

Normalized value: ai_use_must_align_with_scholarship_integrity

Original evidence

Evidence 1
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.

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%

Normalized value: instructor_discretion_on_ai_use

Original evidence

Evidence 1
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.

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%

Normalized value: students_warned_about_ai_privacy_risks

Original evidence

Evidence 1
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.

Candidate claims

0 machine or needs-review claim

Official sources

8 source attribution

Change log

Last checkedMay 10, 2026Last changedMay 10, 2026Open change log

Corrections

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