Dan Ho

Dan Ho is the William Benjamin Scott and Luna M. Scott Professor of Law at Stanford University, where he is also Professor of Political Science, Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), and Director of the Regulation, Evaluation, and Governance Lab (RegLab).

Dan served on the National Artificial Intelligence Advisory Committee (NAIAC), advising the White House on AI policy, and as Senior Advisor on Responsible AI at the U.S. Department of Labor. He has also served as a Public Member of the Administrative Conference of the United States (ACUS) and is an elected member of the American Academy of Arts and Sciences.

Through RegLab, his work develops high-impact demonstration projects in data science and machine learning for public policy, partnering with government agencies including the IRS, the Treasury Department, the EPA, and the Department of Labor.

Dan received his J.D. from Yale Law School and Ph.D. in government from Harvard University, and clerked for Judge Stephen F. Williams on the U.S. Court of Appeals for the D.C. Circuit.