Wijzigingslogboek

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.

Samenvatting wijzigingen

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.

Er zijn nog geen beleidverschillen tussen releases geregistreerd voor deze universiteit. De pagina houdt nog steeds bij welke bronnen onderbouwing bieden, officiële bronaanwijzingen, de beoordelingsstatus, de actualiteit van bronnen en openbare JSON voor ontdekking en citatie.

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.

Diff-categorieën

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Gecombineerd releasediff

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Universiteit of Rochester combined release verschil

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.

Geschiedenis releases

0 public release diffs

Aanpassingen claimen

4 Claimen registers

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.

Beoordeling: Door agent beoordeeldVertrouwen92%Bewijs1Talenen-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.

Beoordeling: Door agent beoordeeldVertrouwen91%Bewijs1Talenen-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.

Beoordeling: Door agent beoordeeldVertrouwen90%Bewijs2Talenen-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.

Beoordeling: Door agent beoordeeldVertrouwen88%Bewijs1Talenen-US

Bronsnapshots

4 source attributions