Research / Governance
Governance
I am Principal Investigator representing the Modern Language Association at the NIST AI Safety Institute Consortium (CAISI), where I lead a five-member team contributing to nearly all key task forces. My governance work also includes comparative analysis of AI regulation across the EU, US, and China, and engagement with UNESCO, Public AI, and the IBM–Notre Dame Tech Ethics Lab.
NIST AI Safety Institute Consortium
I serve as PI representing the MLA at CAISI, the consortium launched by the National Institute of Standards and Technology on February 8, 2024, to advance standards and guidelines for trustworthy and safe AI systems. The MLA-sponsored team I lead at Kenyon contributes to evaluations of model behaviors in complex linguistic and ethical scenarios.
Comparative AI regulation
- “Comparative Global AI Regulation: Policy Perspectives from the EU, China, and the US” (Chun, Schroeder de Witt, Elkins, arXiv:2410.21279, 2024) — develops a structured comparative framework for understanding three-way divergence in global AI governance.
The paper has been engaged in Global Public Policy and Governance (Olugbade 2025, six in-text citations), Frontiers in AI (Ilcic, Fuentes & Lawler 2025), and at ACM venues (Yew, Marino & Venkatasubramanian 2025, “Red Teaming AI Policy”).
Open-source AI governance
- “Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI” (Eiras, Petrov, Vidgen, Schroeder de Witt, Pizzati, Elkins, et al., ICML 2024 oral) — introduces an AI openness taxonomy and the Responsible Access Policies framework. Named at FAccT 2025 (Paris, Moon & Guo) as one of three canonical openness frameworks alongside the Model Openness Framework and Liesenfeld-Dingemanse. See also Recognition.
Institutional engagement
- UNESCO appearances on AI governance (also Creativity)
- Public AI member
- Helix Center governance roundtables
- Meta Open Innovation AI Research Community (transparency subgroup)