Mariano-Florentino Cuéllar, Dan Ho, Jennifer Pahlka, Amy Perez, Kit Rodolfa, and Gerald Ray draft guidance to the federal government on responsible use of AI.
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!
Racial disparities identified by RegLab researchers Hadi Elzayn and Evelyn Smith result in overhaul of IRS audit selection methods
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.
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.
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!