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.

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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