Daniel Ho
Professor Daniel Ho

 

Daniel E. Ho, William Benjamin Scott and Luna M. Scott Professor of Law, faculty director of RegLab, and associate director of Stanford’s Institute for Human-Centered Artificial Intelligence (HAI), received a number of awards, starting with Stanford University’s Miriam Aaron Roland Volunteer Service Prize, which recognizes faculty whose work bridges academic research and public impact. He also received the CodeX Prize for his extensive scholarship on how technology can help researchers, public institutions, and legal systems better understand and improve the law.

Ho and his co-authors received the Peter Jackson Award for Best Innovative Application Paper for their article, “Learning When Not to Decide,” at the International Conference on Artificial Intelligence and Law, and the Best Paper Award at the ACM Symposium on Computer Science and Law for “Evaluating Generative AI in Benefits Administration: A Demonstration Project.”

Ho was also named one of the Top 50 Legal Innovators in Academia by the National Law Review and included in the AI Policy 100, honoring the top 100 leaders shaping AI policy. RegLab and the Colorado Department of Labor and Employment won an inaugural AI in Action Award from the Center for Civic Futures for developing an AI-assisted tool to aid unemployment benefits adjudicators. Ho was tapped by Governor Gavin Newsom to serve on the California Innovation Council, created to help the state strengthen its technology policy and accelerate responsible AI in government. SL