Change log

University of Rochester

Release-to-release tracker diff with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.

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 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

Release diff

Unified tracker diff generated from the previous and current public release snapshots.

No tracker claim/evidence/source changes are recorded for this university in the latest public release.

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