Instructors should create and communicate student GenAI course policies. For each assignment, the policy should state when students must, may, or cannot use GenAI and how they should verify, disclose, document, and attribute any GenAI use.
University of Rochester Provost guidance says instructors should create written course GenAI policies stating when students must, may, or cannot use GenAI and how use should be verified, disclosed, documented, and attributed.
claim-rochester-education-course-policy
Guidelines for instructors - Develop Clear Course GenAI Policies
Instructors should create and communicate student GenAI course policies. For each assignment, the policy should state when students must, may, or cannot use GenAI and how they should verify, disclose, document, and attribute any GenAI use.
University of Rochester Provost guidance says instructors should create written course GenAI policies stating when students must, may, or cannot use GenAI and how use should be verified, disclosed, documented, and attributed.
claim-rochester-education-course-policy
Guidelines for instructors - Develop Clear Course GenAI Policies
The SAS/Hajim Academic Honesty Policy lists use of AI-generated material not allowed by the instructor as an example of plagiarism under that school-scoped policy.
Instructors should create and communicate student GenAI course policies. For each assignment, the policy should state when students must, may, or cannot use GenAI and how they should verify, disclose, document, and attribute any GenAI use.
University of Rochester Provost guidance says instructors should create written course GenAI policies stating when students must, may, or cannot use GenAI and how use should be verified, disclosed, documented, and attributed.
claim-rochester-education-course-policy
Guidelines for instructors - Develop Clear Course GenAI Policies
non-public or sensitive University information should never be uploaded into external AI tools--whether free or paid--unless there is a university agreement with the vendor approved by one of the various AI governance groups.
University of Rochester Provost guidance says non-public or sensitive University information should not be uploaded into external AI tools unless there is a university agreement with the vendor approved by an AI governance group.
As a general guide, only data classified as low risk by the University Data Security Classification Policy should be considered suitable for entry to GenAI.
University of Rochester research guidance frames responsible GenAI use in research around data protection, verification, and transparency, including only considering low-risk data generally suitable for GenAI and using appropriate internal review for medium- or high-risk data.
University of Rochester research guidance frames responsible GenAI use in research around data protection, verification, and transparency, including only considering low-risk data generally suitable for GenAI and using appropriate internal review for medium- or high-risk data.
non-public or sensitive University information should never be uploaded into external AI tools--whether free or paid--unless there is a university agreement with the vendor approved by one of the various AI governance groups.
University of Rochester Provost guidance says non-public or sensitive University information should not be uploaded into external AI tools unless there is a university agreement with the vendor approved by an AI governance group.
As a general guide, only data classified as low risk by the University Data Security Classification Policy should be considered suitable for entry to GenAI.
University of Rochester research guidance frames responsible GenAI use in research around data protection, verification, and transparency, including only considering low-risk data generally suitable for GenAI and using appropriate internal review for medium- or high-risk data.
University of Rochester research guidance frames responsible GenAI use in research around data protection, verification, and transparency, including only considering low-risk data generally suitable for GenAI and using appropriate internal review for medium- or high-risk data.
The SAS/Hajim Academic Honesty Policy lists use of AI-generated material not allowed by the instructor as an example of plagiarism under that school-scoped policy.
Instructors should create and communicate student GenAI course policies. For each assignment, the policy should state when students must, may, or cannot use GenAI and how they should verify, disclose, document, and attribute any GenAI use.
University of Rochester Provost guidance says instructors should create written course GenAI policies stating when students must, may, or cannot use GenAI and how use should be verified, disclosed, documented, and attributed.
claim-rochester-education-course-policy
Guidelines for instructors - Develop Clear Course GenAI Policies
The SAS/Hajim Academic Honesty Policy lists use of AI-generated material not allowed by the instructor as an example of plagiarism under that school-scoped policy.
non-public or sensitive University information should never be uploaded into external AI tools--whether free or paid--unless there is a university agreement with the vendor approved by one of the various AI governance groups.
University of Rochester Provost guidance says non-public or sensitive University information should not be uploaded into external AI tools unless there is a university agreement with the vendor approved by an AI governance group.
Updates to this site's reviewed record, not confirmation that the university changed its policy.
Update records are not available for this page yet.
Reviewed record
Reviewed claims
4 reviewed claims
Academic Integrity 1 reviewed claim
Academic Integrity
The SAS/Hajim Academic Honesty Policy lists use of AI-generated material not allowed by the instructor as an example of plagiarism under that school-scoped policy.
Usage of material generated by AI tools (Grammarly, ChatGPT, DALL-E, translation software, or similar) that is not allowed by the instructor.
Source language
English (en-US)
Snapshot hash
0831f8e5…
Retrieved
May 15, 2026
Evidence locator
V.B.3 Plagiarism
Teaching 1 reviewed claim
Teaching
University of Rochester Provost guidance says instructors should create written course GenAI policies stating when students must, may, or cannot use GenAI and how use should be verified, disclosed, documented, and attributed.
Instructors should create and communicate student GenAI course policies. For each assignment, the policy should state when students must, may, or cannot use GenAI and how they should verify, disclose, document, and attribute any GenAI use.
Source language
English (en-US)
Snapshot hash
d3485af0…
Retrieved
May 15, 2026
Evidence locator
Guidelines for instructors - Develop Clear Course GenAI Policies
Privacy 1 reviewed claim
Privacy
University of Rochester Provost guidance says non-public or sensitive University information should not be uploaded into external AI tools unless there is a university agreement with the vendor approved by an AI governance group.
non-public or sensitive University information should never be uploaded into external AI tools--whether free or paid--unless there is a university agreement with the vendor approved by one of the various AI governance groups.
Source language
English (en-US)
Snapshot hash
c0946d9a…
Retrieved
May 15, 2026
Evidence locator
Provost message body
Research 1 reviewed claim
Research
University of Rochester research guidance frames responsible GenAI use in research around data protection, verification, and transparency, including only considering low-risk data generally suitable for GenAI and using appropriate internal review for medium- or high-risk data.
As a general guide, only data classified as low risk by the University Data Security Classification Policy should be considered suitable for entry to GenAI.
Source language
English (en-US)
Snapshot hash
4fd22b72…
Retrieved
May 15, 2026
Evidence locator
Principle #1: Protect data and information
Original evidence
Evidence 2
Three key duties of data protection, verification, and transparency frame appropriate use of GenAI in research.
Source language
English (en-US)
Snapshot hash
4fd22b72…
Retrieved
May 15, 2026
Evidence locator
Responsible use principles
Source record
Official sources
4 sources
4 official URLs; 4 source attributions and their captured versions retained.
Citation: University AI Policy Tracker. "University of Rochester AI Policy Tracker record." Last checked May 15, 2026. https://eduaipolicy.org/universities/university-of-rochester
Original university source language remains canonical. This tracker is not an official university statement.
Saved from University AI Policy Tracker. This record summarizes the cited sources; it is not an official university statement or assessment permission. Source and review dates are listed above. Hashes identify retained content, not authorization.
Questions students ask
Questions students ask
Can I use AI for my coursework?
University of Rochester has 1 source-backed public claim for coursework; deterministic analysis status: restricted.
