معرفی
Daniel Ho is the William Benjamin Scott & Luna M. Scott Professor of Law at Stanford University, holding concurrent appointments in Political Science and Computer Science (courtesy). He serves as Director of the Regulation, Evaluation, and Governance Lab (RegLab), and as Senior Fellow at multiple institutes including Stanford HAI and the Institute for Economic Policy Research. His roles include advising the White House on AI policy, serving on the National AI Advisory Commission, and advising the U.S. Department of Labor on responsible AI implementation.
Ho holds a J.D. from Yale Law School and a Ph.D. from Harvard University, with prior judicial clerkship experience at the U.S. Court of Appeals. His research focuses on AI governance, legal technology, environmental policy, and algorithmic fairness, integrating computational methods with public administration challenges.
Key research interests include AI's societal impacts, legal reasoning automation, regulatory innovation, and equity in algorithmic systems. His work bridges technical and legal domains, addressing challenges in cybersecurity, environmental protection, tax auditing, and racial disparity analysis. Recent projects involve developing benchmarks for AI legal reasoning and frameworks for auditing generative models.
Ho leads interdisciplinary teams advancing AI policy implementation, including tools for mapping historical racial covenants and assessing environmental enforcement through satellite imagery. His work emphasizes practical solutions for government agencies, combining technical rigor with legal expertise to shape equitable outcomes.
