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.

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Selected work

Hidden in Plain Text: LLM-Assisted Detection of Discriminatory Local LawsDan Bateyko*, Yasmine Mabene*, Derek Ouyang, Daniel E. HoInternational Conference on Artificial Intelligence and Law (ICAIL)2026
RCTs for Human-AI Evaluation: Methodological Challenges and Practical SolutionsPatricia Paskov, Kevin Wei, Shen Zhou Hong, Dan Bateyko, Xavier Roberts-Gaal, Carson Ezell, Gailius Praninskas, Valerie Chen, Umang Bhatt, Ella GuestRAND Working Paper + AIES2026
One Bad NOFO? AI Governance in Federal GrantmakingDan Bateyko, Karen LevyACM FAccT2025
Bureaucratic Backchannel: How r/PatentExaminer Navigates AI GovernanceDan Bateyko, Jennah Gosciak, Travis Lloyd, Peter HendersonSociotechnical AI Governance workshop @ CHI2025
Human-AI Collaboration workshop @ ACM EC2025

Shelved

Mapping Funding Landscapes of Civil Society and Public Interest Technologies: Voids, Trends, and StakesLauren Chambers, Dan Bateyko, Jared KatzmanTalk @ PLSC2025
Poster @ AIPP2024
Internet Law Works in Progress2024