Connecting the people who build the future
The work runs across silos that rarely talk to each other — frontier AI labs, industry analysts and investors, government standards bodies, multilateral institutions, and nonprofits. Building those channels is part of the practice.
OpenAI higher-education forums; the Meta Open Innovation AI Research Community (since 2023); the Notre Dame–IBM Technology Ethics Lab.
Multi-year participation (since 2023) in live BWG forums spanning the full AI-market agenda — public LLMs, OpenAI, DeepSeek, Anthropic, Gemini, agentic adoption, benchmarking, enterprise deployment, and regulation.
Principal investigator representing the Modern Language Association at the NIST Center for AI Standards and Innovation — LLM evaluation and red-teaming.
Engagement with UNESCO and United Nations conversations on global AI governance.
Interdisciplinary roundtables at the Helix Center; co-founder of the nonprofit Human-Centered AI Lab.
Joint papers and grants with collaborators at Oxford and Notre Dame; funded by Schmidt Sciences and the Notre Dame–IBM Tech Ethics Lab.
BWG Global
BWG runs primary-research forums that bring practitioners, analysts, integrators, and investors into candid, real-time discussion of enterprise AI. Multi-year participation there is direct evidence that the work crosses from the classroom into live market decision-making.
“Participating in BWG forums since 2023 has informed my interdisciplinary work by providing candid, peer-level conversations with active decision-makers about real enterprise AI adoption.”
— Jon A. Chun, on bwgglobal.com
Archival Intelligence
Co-PI on Archival Intelligence, building free, open AI tools to rescue New Orleans' endangered Creole and Cajun multilingual newspapers and early jazz artifacts from smartphone photography, and to confront “cultural flattening” in AI models.
1 of 23 teams selected worldwide for the inaugural Humanities and AI Virtual Institute ($11M program; award up to $330K) — a highly selective global competition, among the top few percent of applicants. The cohort's peers include Harvard, Stanford, Princeton, Oxford, Cambridge, and the Sorbonne. Kenyon's AI CoLab is one of very few teams led from a small liberal-arts college, in a cohort otherwise dominated by major research universities.