Regular biography
Peter Henderson is an assistant professor in the Department of Computer Science at Princeton University. He holds appointments in the Department of Computer Science and the School of Public and International Affairs, as well as the Center for Information Technology Policy. His research focuses on aligning machine learning, law, and policy for responsible real-world deployments, including AI safety, methods to improve reasoning in foundation models, interdisciplinary methods in law and AI, and legal doctrine and policy around AI governance. He received his J.D. from Stanford Law School and Ph. D. in computer science from Stanford University.
Scholar-generated biography
Peter Henderson is a researcher at Princeton University with expertise in Reinforcement Learning, Machine Learning, and Law. His work explores the intersection of AI and legal reasoning, focusing on the development and evaluation of large language models. He has contributed to benchmarking legal reasoning capabilities, assessing the safety and alignment of AI systems, and analyzing the ethical challenges in data-driven dialogue systems. His research also addresses the environmental impact of machine learning and the broader societal implications of foundation models. Henderson's publications emphasize the need for trustworthy AI development and the importance of responsible data filtering in legal contexts.