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 technical and institutional infrastructure to support safe and socially beneficial AI. Our research centers around (1) rigorously studying current and proposed mechanisms for governing advanced AI technologies and (2) exploring new governance mechanisms and frameworks. We approach these issues from a sociotechnical perspective, integrating methods from multiple disciplines, including law, computer science, and the social sciences. We’re hiring! If you’re interested, please email me.

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

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

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

Governing AI Agents - SSRN (2024)

IDs for AI Systems (with Alan Chan and others) arXiv (2024)

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