Policy presence
University of Virginia has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Charlottesville, United States
University of Virginia has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
University of Virginia has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
University of Virginia has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
University of Virginia has 4 source-backed public claims for exams; deterministic analysis status: restricted.
University of Virginia has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
University of Virginia has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.
University of Virginia has 2 source-backed public claims for approved tools; deterministic analysis status: allowed.
University of Virginia has 3 source-backed public claims for named ai services; deterministic analysis status: blocked.
University of Virginia has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
7 reviewed evidence-backed public claim
Privacy
Normalized value: highly_sensitive_data_may_not_be_used_in_genai_prompts
Original evidence
Evidence 1When using GenAI Tools, University Data classified under University Data Protection Standards (UDPS 3.0) as “Public,” “Internal Use, or Sensitive” may be used in GenAI Tools chat prompts, University Data classified as “Highly Sensitive” may not.
Teaching
Normalized value: alternatives_required_for_original_work_uploads
Original evidence
Evidence 1Students may have privacy or intellectual property concerns about uploading their original work to a Gen-AI tool, since this will add the work to the tool’s data set. UVA Copilot Chat, which is UVA’s licensed version of Microsoft’s Copilot, includes contractual data protection of university information. With this tool, all prompt data remains in a UVA-specific tenant and is not shared with others or used for training of AI models. If you design an assignment that involves students uploading their original work into a Gen-AI tool, you must provide alternative ways to complete the assignment.
Privacy
Normalized value: licensed_genai_prompt_data_uva_tenant_not_training
Original evidence
Evidence 1Use UVA-licensed AI tools whenever possible. UVA’s licensed Generative AI tools (Copilot Chat and M365 Copilot) include contractual data protection of university information. With appropriately licensed tools, all prompt data remains in a UVA-specific tenant and are not shared with others or used for training of AI models.
Ai Tool Treatment
Normalized value: copilot_chat_available_faculty_staff_students_academic_m365
Original evidence
Evidence 1Copilot Chat is an AI chat platform that generates content in response to your prompts. It is accessed in your internet browser. Once you log in using your UVA credentials, the environment is protected and information you enter remains internal to UVA. Who has access: Faculty, staff, students with UVA Academic M365 accounts. Is a license required: Included with M365; No additional license required.
Academic Integrity
Normalized value: students_should_disclose_genai_assignment_use
Original evidence
Evidence 1If you have used AI in completing an assignment, even in ways explicitly permitted by the instructor, you should clearly indicate the tool used, how you used it, the prompts you used, and when appropriate, your efforts to fact-check the results.
Academic Integrity
Normalized value: course_instructor_sets_genai_permissions
Original evidence
Evidence 1It is important for instructors to make explicit in their syllabi and assignment descriptions which uses of Gen-AI are permitted in coursework, if any, and which are prohibited. Using Gen-AI for completing coursework in ways that are prohibited by the course instructor may be a violation of the Honor Code.
Source Status
Normalized value: explicit_ai_policies_left_to_faculty_departments
Original evidence
Evidence 1Currently, explicit policies on the use of AI have been left up to individual faculty and departments. For more information about policies in a specific course, please consult the syllabus for each course directly.
0 machine or needs-review claim
4 source attribution
virginia.service-now.com
genai.provost.virginia.edu
guides.lib.virginia.edu
virginia.service-now.com