Dan Bateyko studies AI and Law at Cornell University's Department of Information Science. His recent academic affiliations include fellowships at the Princeton Polaris Lab, the Stanford RegLab, and the Institute for Law & AI.
Prior to starting his PhD, Dan spent several years contributing to research and policy around emerging technologies — mostly at places with “Center” in their name — including the Center for Democracy & Technology, the Stanford Cyber Policy Center, and the Center on Privacy & Technology at Georgetown Law, where he now serves on the Advisory Board.
His work has been supported by the MacArthur Foundation through the Artificial Intelligence, Policy, and Practice initiative, a Google Public Policy Fellowship, and a Thomas J. Watson Fellowship. He holds a Master of Law and Technology from Georgetown University Law Center and a B.A. from Middlebury College.
| RCTs for Human-AI Evaluation: Methodological Challenges and Practical Solutions Patricia Paskov, Kevin Wei, Shen Zhou Hong, Dan Bateyko, Xavier Roberts-Gaal, Carson Ezell, Gailius Praninskas, Valerie Chen, Umang Bhatt, Ella Guest | RAND Working Paper | 2026 |
| One Bad NOFO? AI Governance in Federal Grantmaking Dan Bateyko, Karen Levy | ACM FAccT | 2025 |
| Bureaucratic Backchannel: How r/PatentExaminer Navigates AI Governance Dan Bateyko, Jennah Gosciak, Travis Lloyd, Peter Henderson | Sociotechnical AI Governance workshop @ CHI 2025 | 2025 |
Designing AI for Meta-Expertise in Regulatory Drafting | ACM Conference on Economics and Computation, Workshop on Human-AI Collaboration | 2025 |
Mapping Funding Landscapes of Civil Society and Public Interest Technologies: Voids, Trends, and Stakes Lauren Chambers, Dan Bateyko, Jared Katzman | Talk @ PLSC | 2025 |
Policy Patches: AI and Regulatory Review | Poster @ AIPP | 2024 |
Internet Law's Interdisciplinary Gap? | Poster @ Internet Law Works In Progress Conference | 2024 |