Daniel Ho Receives AI Awards and Appointments Including AAAS

Daniel Ho

Daniel Ho, William Benjamin Scott and Luna M. Scott Professor of Law and director of Stanford’s RegLab, received notice in April 2024 that he was among 250 artists, scholars, scientists, and leaders selected this year for induction into the American Academy of Arts & Sciences (AAAS). In a press release, AAAS President David Oxtoby said: “We invite these exceptional individuals to join in the academy’s work to address serious challenges and advance the common good.”

In June 2023, “The Privacy-Bias Tradeoff: Data Minimization and Racial Disparity Assessments in U.S. Government” received a Best Paper award at the Conference on Fairness, Accountability, and Transparency, a leading venue for showcasing work on algorithmic fairness. Ho shared the award with co-authors Victor Wu, JD ’25, fellow RegLab co-authors Arushi Gupta and Helen Webley Brown, as well as Jennifer King, a privacy and data policy fellow at Stanford’s Institute for Human-Centered AI. In January 2024, the Future of Privacy Forum selected the same paper as part of its 14th annual Privacy Papers for Policymakers Awards recognizing influential privacy research.

In August 2023, at the Sixth AAAI/ACM Conference on AI Ethics and Society, Ho, along with Christie Lawrence, JD ’24, and Isaac Cui, JD ’25, received another Best Paper award, this time for “The Bureaucratic Challenge to AI Governance: An Empirical Assessment of Implementation at U.S. Federal Agencies.” FedScoop, a publication focused on government technology news, subsequently ran a series of investigative pieces based on the team’s research. Later that month, Ho was tapped to serve on an American Bar Association task force that is studying the impact of artificial intelligence on the legal profession. SL