AI Governance Peer Institutional Benchmark: William and Mary's 23 BOV-Adopted National Peer Institutions
A 121-page public-source benchmark of generative AI governance and teaching posture across the 23 institutions adopted by William & Mary's Board of Visitors as its national peer group.
A 121-page public-source benchmark of generative AI governance and teaching posture across the 23 institutions adopted by William & Mary's Board of Visitors as its national peer group. Evidence snapshot: March 2026.
Each institutional profile follows a consistent ten-section framework: (I) Institutional AI Governance Architecture, (II) Policy Infrastructure and Institutional Alignment, (III) Teaching and Learning Posture, (IV) Tool Ecosystem and Procurement Governance, (V) Academic Integrity Integration, (VI) Research Governance and Ethics, (VII) Library and Information Literacy Signals, (VIII) Infrastructure and Strategic Investment Signals, (IX) Public Statements and Executive Signaling, and (X) Evidence Archive. Institutions appear in the order established by the W&M Board of Visitors: American, Boston College, Brandeis, Brown, Clemson, Dartmouth, Duke, Emory, Georgetown, George Washington, Georgia, Lehigh, Northeastern, Rice, Santa Clara, Stony Brook, Tufts, UNC Chapel Hill, USC, Vanderbilt, Villanova, Wake Forest, and Washington University in St. Louis.
Primary research was conducted between October 2025 and March 2026 through systematic review of each institution's AI-related governance pages, teaching center resources, information technology guidance, academic integrity policies, library subject guides, research office publications, and institutional press releases. All content is sourced from public institutional websites and official announcements. No internal documents, interviews, or behind-authentication materials were used. All major claims are footnoted to their public sources.
The report does not rank, score, or compare institutions. It does not assign maturity levels or recommend approaches. Where publicly available evidence is thin or absent for a given section, the report states that the topic is "not publicly documented in available sources." Profile length reflects the volume of publicly documented evidence, not institutional quality or governance maturity.
This benchmark is one of several companion reference documents produced from a broader study of 53 American universities and is part of the underlying institutional profiling work for the working paper Governance Without Readiness: How 53 American Universities Responded to Generative AI (DOI: 10.5281/zenodo.19647274, version 6.2, April 2026). It stands as an independent reference document.