Policy presence
University of Virginia has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Charlottesville, United States
University of Virginia
University of Virginia is listed as QS 2026 rank 275. University of Virginia has 7 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
University of Virginia is listed as QS 2026 rank 275. University of Virginia has 7 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of Virginia as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 7 source-backed claims, including 7 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-virginia.json. The entity-level confidence is 95%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes Privacy claims.
- Evidence includes Teaching claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Academic integrity claims.
- Evidence includes Source status claims.
- Named AI services detected in public claims: Microsoft Copilot.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
- Privacy, sensitive-data, or security language appears in the public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page 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.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
University of Virginia has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
University of Virginia has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of Virginia has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of Virginia has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Virginia has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
University of Virginia has 2 source-backed public claims for approved tools; deterministic analysis status: allowed.
Named AI services
University of Virginia has 3 source-backed public claims for named ai services; deterministic analysis status: blocked.
Teaching guidance
University of Virginia has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
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.
Security and procurement
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.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
7 reviewed evidence-backed public claim
Privacy
UVA ITS terms say University Data classified as Highly Sensitive may not be included in GenAI Tools chat prompts.
Review: Agent reviewed
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
UVA Provost guidance says that if an assignment involves students uploading original work into a GenAI tool, instructors must provide alternative ways to complete the assignment.
Review: Agent reviewed
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
UVA ITS says appropriately licensed UVA GenAI tools keep prompt data in a UVA-specific tenant and do not share it with others or use it for AI model training.
Review: Agent reviewed
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
UVA ITS says Copilot Chat is available to faculty, staff, and students with UVA Academic Microsoft 365 accounts, is included with Microsoft 365, and requires no additional license.
Review: Agent reviewed
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
UVA guidance says students who use AI in completing an assignment should clearly indicate the tool used, how it was used, prompts used, and, when appropriate, fact-checking efforts.
Review: Agent reviewed
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
UVA guidance says instructors should make explicit in syllabi and assignment descriptions which GenAI uses are permitted or prohibited, and that using GenAI in ways prohibited by the instructor may violate the Honor Code.
Review: Agent reviewed
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
UVA Library's GenAI guide says explicit AI-use policies are currently left to individual faculty and departments, and course-specific policy questions should be checked in each course syllabus.
Review: Agent reviewed
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.
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
4 source attribution
AI Tools Home - UVA ITS
virginia.service-now.com
Guidance for Faculty & Students
genai.provost.virginia.edu
Home - Generative AI at UVA - LibGuides at UVa Library
guides.lib.virginia.edu
Using AI at UVA: Guidelines & Terms of Use - UVA ITS
virginia.service-now.com
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.