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Records involved: 27 (13 corrected / adjusted · 13 added · 1 held)
Ai Tool Treatment · Teaching guidance · 8 more topics
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.
U-M guidance gives instructors flexibility to allow or disallow GenAI by course and assessment, with clear syllabus and assignment expectations; course policies should align with applicable school or college misconduct policies.
U-M sample syllabi allow instructors to specify GenAI disclosure, restrictions, or bans by activity, in alignment with college policy; examples are not automatically binding campus-wide rules.
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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.
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.
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.
U-M directs community members to approved AI services for institutional data. Services without a U-M contract or data agreement should only receive Low-classified institutional data. U-M Google guidance allows certain sensitive categories only as detailed in the service guide; the authenticated matrix remains unavailable.
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.
U-M cautions students that, in most cases, data entered into external GenAI tools are not private and may be accessible to their providers, and advises against sharing private or sensitive information.
U-M ITS AI Services include HIPAA safeguards and may be used with Protected Health Information (PHI).
ITS states that its AI Services include HIPAA safeguards and may be used with PHI, and explicitly directs users to the service-specific Sensitive Data Guide for permitted types. The authenticated guide was not revalidated; this is not blanket PHI authorization.
U-M ITS AI data are not used for model training, but service input, prompt history, usage metadata and logs are processed, including sharing prompt data with cloud vendors. The notice does not establish a uniform retention period.
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.
U-M ITS offers a generative AI platform to active faculty, staff, and students across its campuses and Michigan Medicine, subject to the ITS AI Services terms that limit use to within the United States.
ITS AI service and Google services have a U.S.-only usage condition under U-M terms (May 2025).
U-M Google Gemini and Gemini Notebook (formerly NotebookLM) exclude sponsored affiliates, alumni and retirees; supported sensitive data vary by approved guide.
OVPR internal peer-review guidance updated August 11, 2025 discourages generative AI reviewing and strongly discourages uploading other researchers’ grant proposals to commercial AI tools.
An LSA student found responsible may submit a written appeal to the Academic Judiciary Committee within two weeks from the date of the resolution letter, challenging responsibility, the college sanction or both. Grounds include serious procedural error, significant previously unavailable evidence or excessive college sanctions. Sanctions remain during appeal. Discrimination/prohibited-behavior claims must also go to ECRT and pause appeal. AJC may reverse responsibility or recommend keeping, reducing or increasing sanctions.
For another school’s student in an LSA course, SAA determines the course integrity violation and instructor course sanction authority; the student’s home school imposes college sanctions, including any recommendations it accepts.
In LSA SAA Resolution, the Coordinator of Academic Integrity or designee decides under the preponderance standard. Students receive allegations/evidence and may respond, present material and ask questions. Students should notify SAA when bringing a support person. The usual Honor Council participant does not advocate for or against the student.
In LSA, course-grade penalties follow the instructor’s syllabus/department policies; SAA may assign college sanctions including probation, reflective essay, suspension or expulsion. These are possible outcomes, not an automatic AI penalty.
LSA instructors may use Instructor Resolution for non-egregious incidents meriting no consequence greater than zero on the assignment; remedial work may also apply. SAA Resolution is appropriate for possible course failure or more severe sanctions, previous responsibility findings, or falsified academic documents. While pending, students are presumed not responsible, may attend class, cannot drop/change grading option, and instructors may not impose penalties/remedial work. A pending end-of-term case may receive NR and prevents course credit/graduation.
ITS does not provide a campus-wide teaching/learning plagiarism checking system. Detector output can trigger inquiry but is not definitive proof, while iThenticate is described for researchers’ own work, not student evaluation.
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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.
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.
The School of Nursing faculty guide advises that AI should not be the sole basis for grading and restricts uploads of identifiable student work unless the service and use are approved.
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.
U-M guidance calls for human review of AI-generated code and professionally trained peer code reviews for all new or significantly changed applications, particularly those handling Restricted or High data.
Procurement Services should be the sole purchaser for AI services intended for institutional Moderate, High, or Restricted data; access alone does not confer approval for each sensitive data type.
Adobe Firefly is listed for University of Michigan-Ann Arbor in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
Adobe Firefly is available through U-M enterprise Adobe licensing to eligible faculty, staff, and students at no added individual cost. This institutional availability is not blanket permission for coursework, examinations, or sensitive-data uploads.
Google Gemini is listed for University of Michigan-Ann Arbor in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
Google Gemini is offered through U-M Google services for eligible faculty, staff, and students; sponsored affiliates, alumni, and retirees are excluded. Service use is subject to ITS terms and per-service data restrictions, not universal assignment permission.
U-M GPT is listed for University of Michigan-Ann Arbor in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
U-M GPT is an ITS-provided conversational AI service for active U-M users. Access is governed by ITS terms, including U.S.-only use and data safeguards; availability does not authorize all academic assessments.
U-M GPT Toolkit is listed for University of Michigan-Ann Arbor in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
U-M GPT Toolkit is an ITS-provided advanced generative AI service with access through its self-service API gateway. Use remains subject to U-M terms, data permissions, and course rules.
U-M Maizey is listed for University of Michigan-Ann Arbor in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
U-M Maizey is an ITS-provided generative AI service allowing authorized U-M users to work with custom datasets, subject to service terms and data classification rules; access does not imply assignment permission.
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Google NotebookLM is listed for University of Michigan-Ann Arbor in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
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