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.
Wijzigingslogboek
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.
Huidige actualiteit en beoordelingsstatus van openbare gegevens.
University of Rochester currently has 4 source-backed claim records and 4 official source attributions. Latest tracked changed date: 15 mei 2026. No tracker diff rows are recorded in the latest public release.
Deze pagina combineert alle openbare releasediffs voor University of Rochester. Individuele releasesnapshots blijven beschikbaar via hun release-specifieke URL's.
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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.
Zojuist geëxtraheerde beweringen zijn toevoegingen aan de tracker en zijn niet per se recent door de universiteit gepubliceerd. Wijzigingen in bron-snapshots tonen hashwijzigingen voor dezelfde bron-URL en zijn op zichzelf geen beleidswijzigingen.
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Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.
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4 Claimen registers
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.
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.
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.
4 source attributions
official_guidance Tracker checked at 15 mei 2026, 18:28
official_guidance Tracker checked at 15 mei 2026, 18:24
official_guidance Tracker checked at 15 mei 2026, 18:25
official_guidance Tracker checked at 15 mei 2026, 18:26