Change log

University of Rochester

Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.

Change summary

Current public record freshness and review state.

University of Rochester currently has 4 source-backed claim records and 4 official source attributions. Latest tracked changed date: May 15, 2026.

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.

Claim/evidence diff preview

Diff-style preview built from current public claim/evidence records. Full old/new source diffs require paired historical snapshots.

University of Rochester current policy evidence

Inserted lines represent current public claim and evidence records in the source-backed dataset.

+8-0
11 # University of Rochester AI policy record
2+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.
3+Evidence (en-US, c0946d9a4c1e): 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.
4+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.
5+Evidence (en-US, d3485af0642e): 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.
6+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.
7+Evidence (en-US, 4fd22b72bf1f): 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.
8+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.
9+Evidence (en-US, 0831f8e52725): Usage of material generated by AI tools (Grammarly, ChatGPT, DALL-E, translation software, or similar) that is not allowed by the instructor.

Claim changes

4 claim records

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.

Review: Agent reviewedConfidence92%Evidence1Languagesen-US

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.

Review: Agent reviewedConfidence91%Evidence1Languagesen-US

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.

Review: Agent reviewedConfidence90%Evidence2Languagesen-US

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.

Review: Agent reviewedConfidence88%Evidence1Languagesen-US

Source snapshots

4 source attributions