11 # University of Vermont 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+privacy: UVM's approved AI tools page says approved AI applications are approved by data risk level, and a tool approved for one risk level is not approved for higher-risk data.
5+Evidence (en, 953a38f4a708): Individual tools are approved for use with data at various risk levels – Low, Moderate, High, or Restricted – as defined in the UVM Data Classification Matrix When a service is listed as approved for a risk level, that means it is not approved for higher risk levels. For example, if a service is approved for “Low to High Risk”, that means it is not approved for Restricted data such as Protected Health Information or Controlled Unclassified Information.
6+Source Last-Modified: 2026-05-22T21:09:43.000Z
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+academic_integrity: UVM's Code of Academic Integrity states that work generated by artificial intelligence is not considered created by the student and is not permitted unless the instructor expressly states otherwise.
10+Evidence (en, 36849de0fdbb): Students may not claim as their own work any portion of academic work that was not created by the student. Work generated by artificial intelligence is not considered to be created by the student and is not permitted unless expressly stated by the instructor.
11+Source Last-Modified: 2026-05-22T22:46:53.000Z
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: UVM's Code of Academic Integrity says course expectations may vary by instructor and students must understand expectations for each assignment and course.
15+Evidence (en, 36849de0fdbb): Please note: Course expectations may vary from instructor to instructor. All students have an obligation to ensure a clear understanding of the expectations associated with each particular assignment and each particular course in which the student is enrolled.
16+Source Last-Modified: 2026-05-22T22:46:53.000Z
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+teaching: UVM's faculty AI guidance says there is not a mandated one-size-fits-all classroom AI approach and tells faculty to clearly communicate how their AI stance shapes course policies and assignments.
20+Evidence (en, d3d3764dca28): Because of this, there isn’t a mandated, one-size-fits-all approach to AI in the classroom and, accordingly, classroom practices with AI vary. This flexibility allows you to start with your stance on AI and tailor your course appropriately—but it also means designing policies and assignments for students who are left grappling with different expectations from class to class. Each of us has an obligation to clearly communicate to students about how and why our stance on AI and other technology has shaped the course, its content, its assignment and/or its policies.
21+Source Last-Modified: 2026-05-23T03:57:58.000Z
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+security_review: UVM's approved AI tools page lists general AI tools such as ChatGPT, Claude, and Gemini as public-information-only unless another use case goes through Contract Review.
25+Evidence (en, 953a38f4a708): All other general AI tools (ChatGPT, Claude, Gemini, etc.) Public information only Any use cases other than Public Information require Contract Review Free or purchased NOTE: Consider using already purchased tools such as Microsoft Copilot before purchasing other tools
26+Source Last-Modified: 2026-05-22T21:09:43.000Z
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+research: UVM Graduate College AI guidance tells graduate researchers not to share confidential, proprietary, or IP-sensitive data or information with an open-source AI engine.
30+Evidence (en, 43051b50afdf): Don’t share any data or information that are confidential, proprietary, or have IP implications to an open-source AI engine. Confidentiality and security of data voluntarily input to a Large Language Model (LLM) depends on the policies and practices of platform.
31+Source Last-Modified: 2025-10-29T15:11:36.000Z
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+research: UVM Graduate College AI guidance says students should seek guidance on AI platform use in class assignments, theses, dissertations, and other academic or professional writing.
35+Evidence (en, 43051b50afdf): Students should seek guidance for the use of AI platforms in class assignments, theses, dissertations, and other genres of writing that are part of their academic and professional portfolios. Clear communication as to when and how AI can be used in academic writing will limit the risk of inadvertent misuse of AI tools.
36+Source Last-Modified: 2025-10-29T15:11:36.000Z
1637 ## Newly extracted tracker claim
1738 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
39+source_status: UVM Libraries' student guide states that UVM does not currently have a policy on ChatGPT, while instructors may have assignment-specific policies on how ChatGPT may or may not be used.
40+Evidence (en, d48829766cf6): The University of Vermont does not currently have a policy on the use of ChatGPT. However, instructors may have their own policies on how ChatGPT may or may not be used in classroom assignments. If your instructor doesn't have a written policy or hasn't stated whether generative AI can be used for assignments, ask.
41+Tracker checked at: 2026-05-26T05:08:28.000Z
1842 ## Newly extracted tracker claim
1943 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
44+academic_integrity: UVM Libraries' student guide tells students to have a plan for giving credit when using generative AI and notes that APA, MLA, and Chicago have guidelines for citing generative AI.
45+Evidence (en, d48829766cf6): Have a plan for giving credit. APA Style, MLA Style, and Chicago Style all have guidelines for citing generative AI. Your instructor may also ask for an appendix that includes the prompts that you provided to ChatGPT or the full transcript of your interaction.
46+Tracker checked at: 2026-05-26T05:08:28.000Z
2047 ## Newly extracted tracker claim
2148 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
49+ai_tool_treatment: UVM's student AI guidance tells students that the key course-context question is what the instructor has said about AI use, and that students should check syllabi and assignment instructions.
50+Evidence (en, d270869dc676): For students, the most important question to ask in a course context is “what has my instructor said about the ways AI tools can be used in this class or assignment?” Expectations and opportunities will differ from class to class, as each set of assignments is carefully designed toward particular learning goals. Students should talk with their instructors, pay attention to policies on the syllabus, and note how assignment instructions reference technology use.
51+Source Last-Modified: 2026-05-23T00:45:17.000Z
2252 ## Source attribution added
2353 An official source attribution was added to the tracker record.
54+Source https://libraries.uvm.edu/c.php?g=1419209&p=10519738 snapshot d48829766cf6644ee5c10643df16bfcb3c2f49be3a414563cec156937f997614
55+Tracker checked at: 2026-05-26T05:08:28.000Z
2456 ## Source attribution added
2557 An official source attribution was added to the tracker record.
58+Source https://www.uvm.edu/ai/guidelines-faculty snapshot d3d3764dca281ec2818ab14fa2ccb501a20c6a59d61d96546f2f8ddaf220851f
59+Source Last-Modified: 2026-05-23T03:57:58.000Z
2660 ## Source attribution added
2761 An official source attribution was added to the tracker record.
62+Source https://www.uvm.edu/ai/guidelines-students snapshot d270869dc6761c9d763e04a0ff9b468b4e8b0ffa93f5f8abe70a560875765b94
63+Source Last-Modified: 2026-05-23T00:45:17.000Z
2864 ## Source attribution added
2965 An official source attribution was added to the tracker record.
66+Source https://www.uvm.edu/ai/supported-and-approved-ai-tools snapshot 953a38f4a708da2fa1f70cc5664d0c48355d99b503da8345910b9d037d7e95e1
67+Source Last-Modified: 2026-05-22T21:09:43.000Z
3068 ## Source attribution added
3169 An official source attribution was added to the tracker record.
70+Source https://www.uvm.edu/d10-files/documents/2025-10/Guidance-for-Effective-and-Responsible-Use-of-AI_Graduate-College_Sept2025.pdf snapshot 43051b50afdf2742dc90241c011b94b6cc4eedf2ea4690c99e39d20ef1c5ca45
71+Source Last-Modified: 2025-10-29T15:11:36.000Z
3272 ## Source attribution added
3373 An official source attribution was added to the tracker record.
74+Source https://www.uvm.edu/policies/code-academic-integrity snapshot 36849de0fdbb34c589a596915bee70ce4ee5c1993960ac4bd01e1ead066eb874
75+Source Last-Modified: 2026-05-22T22:46:53.000Z
3476 ## Source attribution added
3577 An official source attribution was added to the tracker record.
78+Source https://www.uvm.edu/wid/teaching-and-writing-age-artificial-intelligence snapshot 9a9458a910b5f7e81dde8a967054a8a6783eaa2536add08629c5cde510942c2b
79+Source Last-Modified: 2026-05-22T21:10:01.000Z