变更日志

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.

变更摘要

当前公共记录的新鲜度与审核状态。

University of Rochester currently has 4 source-backed claim records and 4 official source attributions. Latest tracked changed date: 2026年5月15日. No tracker diff rows are recorded in the latest public release.

此页面汇总了所有针对的公开版本差异记录 University of Rochester。各个版本的发布快照仍可通过其特定发布的 URL 访问。

目前尚未记录该大学的版本间策略差异行。页面仍会追踪当前基于来源的主张、官方来源归属、审核状态、来源时效性以及用于发现和引用的公开JSON。

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.

新提取的主张是追踪器的新增项,不一定是大学新发布的。来源快照变更显示了同一来源 URL 的哈希值变化,这本身并不代表政策发生了变化。

差异类别

此版本差异的语义分类。

政策文本0新提取的0证据0源快照0源文本0已添加来源0已移除来源0

组合版本差异

由该大学的所有公开发布快照生成的统一追踪器差异。

大学 of Rochester combined release 差异

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.

版本历史

0 public release diffs

声明变更

4 声明 条记录

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.

审核: 智能体已审核置信度92%证据1语言en-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.

审核: 智能体已审核置信度91%证据1语言en-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.

审核: 智能体已审核置信度90%证据2语言en-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.

审核: 智能体已审核置信度88%证据1语言en-US

源快照

4 source attributions