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Change log

University of Rochester

Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.

Review: Agent reviewedLast checkedMay 15, 2026Last changedMay 15, 2026Claims4Sources4Release records0
University pagePublic JSONMonthly reportUniversity index

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. No tracker diff rows are recorded in the latest public release.

This page combines all public release diffs for University of Rochester. Individual release snapshots remain available from their release-specific URLs.

No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.

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.

Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.

Diff categories

Semantic classification for this release diff.

Policy text0Newly extracted0Evidence0Source snapshots0Source text0Source added0Source removed0

Combined release diff

Unified tracker diff generated from all public release snapshots for this university.

University of Rochester combined release diff

Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.

+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.

Release history

0 public release diffs

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