Noam Kolt
Faculty of Law and School of Computer Science and Engineering
Hebrew University
I lead the Governance of AI Lab (GOAL) – a cross-disciplinary research group developing institutional and technical infrastructure to support safe and ethical AI. Our research centers around studying legal mechanisms for governing advanced AI, with a focus on autonomous AI agents. We approach these issues from a sociotechnical perspective, integrating methods from law, computer science, and the social sciences. ► For new research collaborations, please consider completing this form.
During my doctoral studies at the University of Toronto, I served as a research advisor to Google DeepMind and was a member of OpenAI’s GPT-4 red team. Previously, I practiced international law and corporate law, and held fellowships at the University of Toronto’s Centre for Ethics and Schwartz Reisman Institute for Technology and Society, where I am now a faculty affiliate. I am also an affiliate at the Australian National University Machine Intelligence and Normative Theory Lab and the Institute for Law & AI.
I have published in the Washington University Law Review, Berkeley Technology Law Journal, Yale Law & Policy Review, Melbourne University Law Review, International Journal of Constitutional Law, and other peer-reviewed venues, including NeurIPS, ACM FAccT, AIES, and Science.
Selected Publications
Law
Governing AI Agents, 101 Notre Dame Law Review (forthcoming)
Algorithmic Black Swans, 101 Washington University Law Review 1177 (2024)
Computer Science
The AI Agent Index (equal lead author, with Stephen Casper, and others) (2025) - raw data available on project website: https://aiagentindex.mit.edu/
Regulating Advanced Artificial Agents (equal lead author, with Michael Cohen, Yoshua Bengio, Gillian Hadfield, and Stuart Russell) Science (2024)
Technical Reports and Preprints
IDs for AI Systems (with Alan Chan and others) RegML @ NeurIPS (2024)