Release diff
University of California, Riverside
Unified tracker diff for public-release-20260523-001. Full source-page text is not published; short original-language evidence snippets are shown for citation context.
Unified diff
Release-to-release tracker changes generated from public release snapshots.
University of California, Riverside public-release-20260523-001 diff
Initial tracked release.
+31-0
11 # University of California, Riverside AI policy diff
22 ## Newly extracted tracker claim
33 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
4+teaching: UCR's Provost generative-AI guidelines say instructional uses of generative AI by instructors or students should aim to improve student learning and align with UCR's instructional mission.
5+Evidence (en, 85dcf3c98da1): Any use of generative AI in an instructional setting, by instructors or students, should aim to improve the learning experience for students and better position students for academic and post-graduation success.
6+Tracker checked at: 2026-05-16T18:22:00.000Z
47 ## Newly extracted tracker claim
58 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
9+security_review: UCR's Provost guidelines state that generative AI tools that have not passed a campus security review may be used with public data only; for other data classifications, UCR points to secure tools including Google Gemini and Microsoft Copilot.
10+Evidence (en, 85dcf3c98da1): Generative AI tools which have not passed a campus security review may be used with public data only. For all other data classifications, UCR provides access to secure tools including Google Gemini and Microsoft Copilot.
11+Tracker checked at: 2026-05-16T18:22:00.000Z
612 ## Newly extracted tracker claim
713 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
14+academic_integrity: UCR's general academic-integrity page defines academic misconduct to include using prohibited or inappropriate materials, plagiarism without appropriate credit, and unauthorized collaboration without instructor permission.
15+Evidence (en, bf79cfe61bc2): Cheating: Fraud, deceit, or dishonesty in an academic assignment, or using or attempting to use materials, or assisting others in using materials that are prohibited or inappropriate in the context of the academic assignment or capstone in question.
16+Tracker checked at: 2026-05-16T18:27:00.000Z
817 ## Newly extracted tracker claim
918 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
19+procurement: UCR ITS lists UCR-supported AI tools by role and allowed data level, including Gemini, NotebookLM, Google AI Studio, Microsoft 365 Copilot, Vertex AI, Zoom AI Companion, The Grove, and a ChatGPT EDU offering that the page says is not currently available.
20+Evidence (en, fe06ed36a4ee): The AI tools comparison chart lists Tool/Platform, Description, Roles Allowed, Getting Access, Training Resources, Cost, and Allowed Data for tools including The Grove, Gemini, NotebookLM, Google AI Pro, Google AI Studio, Microsoft 365 Copilot, ChatGPT EDU, Vertex AI, and Zoom AI Companion.
21+Tracker checked at: 2026-05-16T18:29:00.000Z
1022 ## Newly extracted tracker claim
1123 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
24+source_status: UCR's public generative-AI guidance for instructional settings places course-level use decisions with the Instructor of Record rather than setting one universal student-use rule in the evidence reviewed here.
25+Evidence (en, 85dcf3c98da1): In instructional settings, this means the Instructor of Record has broad latitude to determine whether and how generative AI may be used, provided this use is consistent with applicable policies and rules governing data security and instruction at UCR.
26+Tracker checked at: 2026-05-16T18:22:00.000Z
1227 ## Newly extracted tracker claim
1328 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
29+academic_integrity: UCR's student-facing AI announcement says students should discuss generative-AI expectations with professors, use AI to assist or enhance rather than replace original work, avoid generating entire deliverables, and cite AI-generated content or data when used.
30+Evidence (en, 18952bd9a1a9): We encourage you to discuss with your professors for specific policies or expectations before engaging in the use of Generative AI resources on academic assignments, papers, tests, etc.
31+Tracker checked at: 2026-05-16T18:26:00.000Z
1432 ## Newly extracted tracker claim
1533 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
34+teaching: UCR XCITE advises instructors to discuss when AI may be used in coursework and how it should be cited, and its sample syllabus language treats uncited AI use as a potential academic-integrity issue.
35+Evidence (en, a1accf6824fe): Key points to discuss in your syllabus/ in class: If and when AI may be used to write a portion of homework or any other assignment; How to properly cite the use of any AI.
36+Tracker checked at: 2026-05-16T18:20:00.000Z
1637 ## Source attribution added
1738 An official source attribution was added to the tracker record.
39+Source https://conduct.ucr.edu/policies/academic-integrity-policies-and-procedures snapshot bf79cfe61bc2bdb44447c17208efc59a8cbbc96a25a183a75842bb7f136e8d16
40+Tracker checked at: 2026-05-16T18:27:00.000Z
1841 ## Source attribution added
1942 An official source attribution was added to the tracker record.
43+Source https://insideucr.ucr.edu/announcements/2023/11/03/update-artificial-intelligence-use-students snapshot 18952bd9a1a94802bace4170e93e036fbc1ba31b41a85e660e61b526e7a3e847
44+Tracker checked at: 2026-05-16T18:26:00.000Z
2045 ## Source attribution added
2146 An official source attribution was added to the tracker record.
47+Source https://its.ucr.edu/ai snapshot fe06ed36a4eea2fbc2e61a5d3dffe97528c28ada7d97136a8b7c1c5797041495
48+Tracker checked at: 2026-05-16T18:29:00.000Z
2249 ## Source attribution added
2350 An official source attribution was added to the tracker record.
51+Source https://provost.ucr.edu/media/2947/download?attachment snapshot 85dcf3c98da1eada8390e52d68ea94b83fd509091fd9413174579a2d5211381d
52+Tracker checked at: 2026-05-16T18:22:00.000Z
2453 ## Source attribution added
2554 An official source attribution was added to the tracker record.
55+Source https://teaching.ucr.edu/ai-classroom snapshot a1accf6824fe0b321ae388f0e70e2173bf03d35bc2cad20c8d26fdea605124a8
56+Tracker checked at: 2026-05-16T18:20:00.000Z
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Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes mean the same URL produced a different hash; that may be policy text, layout, navigation, or metadata.
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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.