University of Virginia: Comprehensive AI Governance & Activity Inventory
A 362-page public-source inventory of artificial intelligence governance, teaching, research, and operations at the University of Virginia.
A 362-page public-source inventory of artificial intelligence governance, teaching, research, and operations at the University of Virginia. Evidence snapshot date: June 9, 2026. The document records what the University has said and done publicly about AI as of that date. It is not an audit, maturity assessment, or scorecard.
Part I covers ten institutional domains: governance architecture, policy infrastructure, teaching and learning posture, tool ecosystem and procurement, academic integrity, research governance, library and information literacy, infrastructure investment, public statements, and an evidence archive. Part II contains 19 unit dossiers, one for each college, school, institute, or administrative division with documented AI activity, using a uniform six-part structure: Governance & Policy, People, Teaching & Curriculum, Tools & Technology, Research & Scholarship, and Events & Programming. Each dossier opens with a Key Signals assessment and closes with Gaps and Observations, Cross-References to related units, and an annotated source list.
The inventory documents an institution whose AI posture runs through coordination infrastructure rather than binding policy: two Provost task forces, a standing committee established between September 2025 and May 2026, the AI Research@UVA co-directorship, eleven Commonwealth Chairs in AI across seven schools, and the Faculty AI Guides program, all operating above a default in which individual faculty retain classroom authority. It captures the LaCross Institute's $62 million AI commitment at Darden, the Library's emergence as a national AI-governance actor under a dean who doubles as Advisor to the Provost on AI Literacy, two enterprise AI platforms, four high-performance computing systems, and the capital record through the FY2027 Major Capital Plan approved June 4, 2026.
Approximately 118,000 words; 770 unique source URLs. Sources are entirely public: institutional web pages, news releases, faculty profiles, grant databases, policy documents, and public filings. The inventory uses no FOIA-obtained material and includes no interview data. Every major claim carries a URL. The phrase “Not publicly documented in available sources” denotes absence of evidence, not evidence of absence. Where sources conflict, both versions are reported flat, with dates, rather than resolved editorially.
This inventory is one of several companion reference documents produced from a broader study of 53 American universities, alongside inventories for Virginia Tech, William & Mary, and Marymount University, a peer benchmark of 23 BOV-adopted national peer institutions, and a Virginia public-source reference guide covering 30 four-year institutions. It stands as an independent reference document and is not derivative of the related working paper Governance Without Readiness: How 53 American Universities Responded to Generative AI. Intended for institutional researchers, governance staff, faculty senates, journalists, and policy researchers seeking a citable baseline of the University of Virginia's public AI footprint.
Related Works
All identifiers are concept DOIs, which resolve to the latest version of each record.
Relation
Identifier (concept DOI)
Work
Is supplemented by
10.5281/zenodo.19647273
Governance Without Readiness: How 53 American Universities Responded to Generative AI (working paper)
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10.5281/zenodo.19670612
Virginia Tech: Comprehensive AI Governance & Activity Inventory
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10.5281/zenodo.19696361
William & Mary: Comprehensive AI Governance & Activity Inventory
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10.5281/zenodo.19701771
Marymount University: Comprehensive AI Governance & Activity Inventory
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10.5281/zenodo.19672836
AI Governance Peer Institutional Benchmark: William & Mary's 23 BOV-Adopted National Peer Institutions
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10.5281/zenodo.19671839
AI in Virginia Higher Education: Public-Source Reference Guide for 30 Four-Year Institutions