Noam Kolt

Faculty of Law and School of Computer Science and Engineering

Hebrew University

noam.kolt@mail.huji.ac.il

I am an Assistant Professor at the Hebrew University Faculty of Law and School of Computer Science and Engineering.

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)

Featured in the Contracts Prof Blog and Google DeepMind AI Policy Primer

Finalist for Carnegie Endowment Award for Scholarship on AI and Liability

Algorithmic Black Swans, 101 Washington University Law Review 1177 (2024)

Predicting Consumer Contracts, 37 Berkeley Technology Law Journal 71 (2022)

Populist Rhetoric, False Mirroring, and the Courts (with Alon Harel), 18 International Journal of Constitutional Law 746 (2020)

Return on Data: Personalizing Consumer Guidance in Data Exchanges, 38 Yale Law & Policy Review 77 (2019)

Cosmopolitan Originalism: Revisiting the Role of International Law in Constitutional Interpretation, 41 Melbourne University Law Review 182 (2017)

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)

Responsible Reporting for Frontier AI Development (lead author) AIES (2024)

Black-Box Access is Insufficient for Rigorous AI Audits (with Stephen Casper and others) ACM FAccT (2024)

Visibility into AI Agents (with Alan Chan and others) ACM FAccT (2024)

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models (with Neel Guha and others) NeurIPS (2023)

Technical Reports and Preprints

Lessons from Complexity Theory for AI Governance (with Michal Shur-Ofry and Reuven Cohen) arXiv (2025)

IDs for AI Systems (with Alan Chan and others) RegML @ NeurIPS (2024)

Levels of Autonomy: Liability in the Age of AI Agents (with Lisa Soder and others) SoLaR @ NeurIPS (2024)

What Should Be Internationalised in AI Governance? (with Claire Dennis and others) Oxford Martin School (2024)

Through the Chat Window and Into the Real World: Preparing for AI Agents (with Helen Toner and others) Georgetown CSET (2024)

Open Questions in Law and AI Safety: An Emerging Research Agenda (with Yonathan Arbel and others) Lawfare (2024)

Frontier AI Regulation: Managing Emerging Risks to Public Safety (with Markus Anderljung and others) arXiv (2023)

Model Evaluation for Extreme Risks (with Toby Shevlane and others) arXiv (2023)