William & Mary: Comprehensive AI Governance & Activity Inventory
William & Mary has built much of a formal AI governance apparatus in under three years: a provost-authorized policy initiative, a published set of GenAI guidelines, enterprise tool deployments, a new…
William & Mary has built much of a formal AI governance apparatus in under three years: a provost-authorized policy initiative, a published set of GenAI guidelines, enterprise tool deployments, a new School of Computing, Data Sciences & Physics, an AI minor, an approved B.S. in Applied Artificial Intelligence, and the Commonwealth's first student-led campus referendums on AI surveillance contracts. This document is a public-source inventory of that activity as of March 2026, covering thirteen organizational units across the university in a single consistent structure.
The inventory is organized in two parts. Part I documents institution-level activity across nine sections: governance and policy infrastructure, leadership, tools and platforms, academic programs, the student AI experience, administrative adoption, research compliance, accreditation context, and the Virginia regulatory landscape. Part II contains thirteen unit dossiers covering every school, the Virginia Institute of Marine Science, the Global Research Institute, the Whole of Government Center, the Studio for Teaching & Learning Innovation, Information Technology, the Libraries, Student Affairs, and Advancement — each using an identical six-part structure for Governance & Policy, People, Teaching & Curriculum, Tools & Technology, Research & Scholarship, and Events & Programming.
The methodology is deliberately constrained: public sources only, no scoring, no ranking, no maturity assessments, no comparisons between institutions, no speculation beyond what sources state, no promotional language. Every major claim carries a URL. Where activity is not publicly documented, the document says so rather than padding. The inventory cites 102 numbered references across institutional web pages, news releases, peer-reviewed publications, grant databases, policy documents, and public filings, plus one personal communication included with written permission.
This document is one of four companion products from a larger public-source profiling study of 53 American universities. It stands as an independent institutional reference. The working paper drawn from the broader study, Governance without Readiness: How 53 American Universities Governed AI While the Workforce Moved On ( https://doi.org/10.5281/zenodo.19647273 ), synthesizes findings across all 53 institutions and documents a structural gap between how universities managed AI risk and how they prepared students for an AI-transformed workforce.