AI companies are deploying autonomous AI agents that can plan and execute complex tasks with only limited human involvement. While existing legal frameworks offer insight into the safety and ethical challenges presented by this technology, new governance approaches are needed. Capturing the benefits of AI agents and mitigating the associated risks requires a combination of technical and institutional infrastructure. Computer scientists and legal scholars have recently begun to tackle these problems, but much work remains.
Speaker
Noam Kolt is an Assistant Professor at the Hebrew University Faculty of Law and School of Computer Science and Engineering. He leads the Governance of AI Lab (GOAL) – a cross-disciplinary research group developing technical and institutional infrastructure to support safe and socially beneficial AI. During his doctorate at the University of Toronto, Noam served as a research advisor to Google DeepMind and was a member of OpenAI’s GPT-4 red team. He has published in the Washington University Law Review, Berkeley Technology Law Journal, Yale Law & Policy Review, and peer-reviewed venues, including NeurIPS, ACM FAccT, and Science.
