Policy presence
University of Michigan-Ann Arbor has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Ann Arbor, United States
University of Michigan-Ann Arbor
University of Michigan-Ann Arbor has 8 source-backed AI policy claims from 8 official source attributions. Review state: agent reviewed; 8 reviewed claims. Last checked May 10, 2026.
University of Michigan-Ann Arbor AI policy short answer
v1 public contract
University of Michigan-Ann Arbor has 8 source-backed AI policy claims from 8 official source attributions, including 8 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 10, 2026. Discovery context: University of Michigan-Ann Arbor is listed as QS 2026 rank 45.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of Michigan-Ann Arbor as an agent-reviewed AI policy record last checked on May 10, 2026 and last changed on May 10, 2026. The record contains 8 source-backed claims, including 8 reviewed claims, from 8 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-michigan-ann-arbor.json. The entity-level confidence is 98%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes AI tool treatment claims.
- Evidence includes Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Security review claims.
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Privacy, sensitive-data, or security language appears in the public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page 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.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
University of Michigan-Ann Arbor has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
University of Michigan-Ann Arbor has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of Michigan-Ann Arbor has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of Michigan-Ann Arbor has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Michigan-Ann Arbor has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
University of Michigan-Ann Arbor has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
University of Michigan-Ann Arbor has 4 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
University of Michigan-Ann Arbor has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of Michigan-Ann Arbor has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Security and procurement
University of Michigan-Ann Arbor has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
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 reviewed
Normalized value: university_provides_custom_ai_tools
原始证据
Evidence 1ITS 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 reviewed
Normalized value: ai_detection_not_recommended
原始证据
Evidence 1U-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 reviewed
Normalized value: data_classification_ai_rules
原始证据
Evidence 1When 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 reviewed
Normalized value: ai_generated_code_must_be_human_reviewed
原始证据
Evidence 1Ensure 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 reviewed
Normalized value: ai_services_include_hipaa_safeguards
原始证据
Evidence 1ITS 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 reviewed
Normalized value: ai_use_must_align_with_scholarship_integrity
原始证据
Evidence 1When 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 reviewed
Normalized value: instructor_discretion_on_ai_use
原始证据
Evidence 1Instructors 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 reviewed
Normalized value: students_warned_about_ai_privacy_risks
原始证据
Evidence 1Understand 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
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
8 source attribution
Academic Integrity, GenAI - CRLT
crlt.umich.edu
Appropriate Use of AI Services & U-M Policy
genai.umich.edu
Course and Assignment (Re-)Design
genai.umich.edu
Course Policies & Syllabi Statements
genai.umich.edu
Generative AI Academic Integrity Resources
academictechnology.umich.edu
ITS AI Services
its.umich.edu
U-M Guidance for Faculty/Instructors
genai.umich.edu
U-M Guidance for Students
genai.umich.edu
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.