Burlington, United States

University of Vermont

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Affirmations révisées

15 reviewed claims

Ai Tool Treatment

VACC Research Computing AI is listed for University of Vermont in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.

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Valeur normalisée: {"tool":"institutional_ai_service","rawToolName":"VACC Research Computing AI","description":"University of Vermont provides or institutionally supports VACC Research Computing AI.","howToObtain":"Request access to VACC Research Computing AI.","costToUser":"No individual price is stated.","availability":"allowed","endorsementType":"self_hosted_system"}

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Run open-source large language models on high-performance computing systems

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Run open-source large language models on high-performance computing systems

Ai Tool Treatment

VACC Transcription Service is listed for University of Vermont in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.

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Valeur normalisée: {"tool":"institutional_ai_service","rawToolName":"VACC Transcription Service","description":"University of Vermont provides or institutionally supports VACC Transcription Service.","howToObtain":"Use the VACC locally hosted transcription service.","costToUser":"No individual price is stated.","availability":"allowed","endorsementType":"self_hosted_system"}

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VACC has a locally hosted transcription service available

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VACC has a locally hosted transcription service available

Ai Tool Treatment

Microsoft Copilot is listed for University of Vermont in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.

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Valeur normalisée: {"tool":"microsoft_copilot","rawToolName":"Microsoft Copilot","description":"University of Vermont provides or institutionally supports Microsoft Copilot.","howToObtain":"Sign in with a UVM NetID.","costToUser":"No individual price is stated.","availability":"allowed","endorsementType":"institutionally_licensed_or_procured"}

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Microsoft Copilot

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Microsoft Copilot

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Available to faculty, staff, and students

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Available to faculty, staff, and students

Ai Tool Treatment

Microsoft Copilot for M365 is listed for University of Vermont in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.

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Valeur normalisée: {"tool":"microsoft_copilot_for_m365","rawToolName":"Microsoft Copilot for M365","description":"University of Vermont provides or institutionally supports Microsoft Copilot for M365.","howToObtain":"Request through the UVM Tech Team.","costToUser":"No individual price is stated.","availability":"allowed","endorsementType":"institutionally_licensed_or_procured"}

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Microsoft Copilot for M365

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Microsoft Copilot for M365

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Available to faculty, staff upon request via Tech Team

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Available to faculty, staff upon request via Tech Team

Ai Tool Treatment

Microsoft Teams Premium is listed for University of Vermont in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.

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Valeur normalisée: {"tool":"teams_premium","rawToolName":"Microsoft Teams Premium","description":"University of Vermont provides or institutionally supports Microsoft Teams Premium.","howToObtain":"Request through UVM.","costToUser":"No individual price is stated.","availability":"allowed","endorsementType":"institutionally_licensed_or_procured"}

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Microsoft Teams Premium

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Microsoft Teams Premium

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Availability : UVM employees (upon request)

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Availability : UVM employees (upon request)

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.

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Valeur normalisée: AI-generated work not permitted unless expressly stated by instructor.

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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.

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.

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Valeur normalisée: Course expectations may vary by instructor.

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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.

Confidentialité

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.

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Valeur normalisée: Approved AI tools are limited by UVM data risk level.

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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.

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.

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Valeur normalisée: General AI tools are public information only unless Contract Review covers the use case.

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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

Enseignement

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.

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Valeur normalisée: No mandated one-size classroom AI approach; faculty should communicate course AI stance.

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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.

Recherche

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.

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Valeur normalisée: Graduate AI guidance warns against sharing confidential, proprietary, or IP-sensitive information with open AI engines.

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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.

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.

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Valeur normalisée: Students should follow instructor, syllabus, and assignment AI expectations.

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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.

Recherche

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.

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Valeur normalisée: Graduate students should clarify AI use expectations for assignments, theses, dissertations, and professional writing.

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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.

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.

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Valeur normalisée: Students should plan attribution for generative AI use.

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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.

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.

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Valeur normalisée: UVM Libraries states no current UVM ChatGPT policy; instructor policies may apply.

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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.

Source record

Sources officielles

8 sources

Record information, JSON & citation
Révisionagent reviewedConfiance97%Snapshot statusNon publiéJSONJSON public

Citation: University AI Policy Tracker. "University of Vermont AI Policy Tracker record." Last checked July 19, 2026. https://eduaipolicy.org/universities/university-of-vermont

Original university source language remains canonical. This tracker is not an official university statement.

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