Noam Kolt
Faculty of Law and School of Computer Science and Engineering
GOAL — Governance of AI Lab
Hebrew University
I am an Assistant Professor at the Hebrew University Faculty of Law and School of Computer Science and Engineering, where I lead the Governance of AI Lab (GOAL). My work aims to support safe and ethical AI through cross-disciplinary research that integrates methods from law, computer science, and the social sciences. Areas of focus include the governance of AI agents, empirical evaluations of legal alignment, and studying the impacts of AI on the rule of law.
My scholarship has been published in leading law reviews (Washington University Law Review, Notre Dame Law Review, Harvard Journal of Law & Technology, Berkeley Technology Law Journal, Yale Law & Policy Review), computer science venues (NeurIPS, ICML, TMLR, ACM FAccT, AIES), and general-interest academic journals (Patterns, Science).
Previously, I completed my doctoral studies at the University of Toronto, during which time I served as a research advisor to Google DeepMind and was a member of OpenAI’s GPT-4 red team. I am an affiliate at the Schwartz Reisman Institute for Technology and Society, the Machine Intelligence and Normative Theory Lab, and the Institute for Law & AI.
Selected Publications
Superintelligence and Law, Harvard Journal of Law & Technology (forthcoming)
"Kolt’s article is a must-read conversation starter" — JOTWELL
Legal Alignment for Safe and Ethical AI (with Nicholas Caputo, Jack Boeglin, Cullen O'Keefe, Rishi Bommasani, Stephen Casper, Mariano-Florentino Cuéllar, Noah Feldman, Iason Gabriel, Gillian Hadfield, Lewis Hammond, Peter Henderson, Atoosa Kasirzadeh, Seth Lazar, Anka Reuel, Kevin Wei, Jonathan Zittrain) TMLR (2026)
Regulating AI Agents (with Kathrin Gardhouse and Amin Oueslati) (2026)
The AI Agent Index (equal lead author, with Stephen Casper, and others) arXiv (2025)
Regulating Advanced Artificial Agents (equal lead author, with Michael Cohen, Yoshua Bengio, Gillian Hadfield, and Stuart Russell) Science (2024)
Algorithmic Black Swans, 101 Washington University Law Review 1177 (2024)
IDs for AI Systems (with Alan Chan and others) RegML @ NeurIPS (2024)