Mariano-Florentino Cuéllar, Dan Ho, Jennifer Pahlka, Amy Perez, Kit Rodolfa, and Gerald Ray draft guidance to the federal government on responsible use of AI.
April 12, 2024
Congrats to Emily Black and to Arushi Gupta, Victor Wu, Jen King, Helen Webley-Brown and Dan Ho for their awards from the Future of Privacy Forum!
April 12, 2024
In Stanford University’s new campaign website, “Momentum," RegLab is featured for its efforts addressing one of “the most wicked problems” – how to nudge government into the 21st century
April 12, 2024
A veterans benefits study led by Sandy Handan-Nader triggered a Government Accountability Office (GAO) inquiry, congressional hearing, and subsequent report.
December 1, 2023
In this episode of the Stanford Woods Institute Uncommon Collaborators series, Ho and Suckale discuss how they forged a unique partnership between geophysics and law to address the challenges of freshwater monitoring in the U.S.
November 28, 2023
SIL announced a commitment to support RegLab through its first-ever Stage 3: Amplify Impact round.
November 9, 2023
Racial disparities identified by RegLab researchers Hadi Elzayn and Evelyn Smith result in overhaul of IRS audit selection methods
September 20, 2023
In “Talent exchanges for state governments”, authors Daniel E. Ho, Anne Joseph O’Connell, and Isaac Cui make the case for a state version of the Federal Intergovernmental Personnel Act.
September 14, 2023
Leaders chosen to evaluate the impact of artificial intelligence on the legal profession
September 6, 2023
Arushi Gupta, Victor Y. Wu and Helen Webley-Brown won a Best Paper award at the ACM Conference on Fairness, Accountability, and Transparency (FAccT). Co-supervised by Jen King and Dan Ho, the paper examines the privacy-bias tradeoff that has bedeviled U.S. federal agencies.
August 16, 2023
Christie Lawrence and Isaac Cui won the Best Paper award from the AAAI/ACM Conference Artificial Intelligence, Ethics, and Society (AIES) for important work on understanding the capacity of federal agencies to implement binding AI governance measures!
August 16, 2023