Algorithms, Privacy, and the Future of Tech Regulation in California
In a recent panel hosted by California 100, Stanford Institute for Economic Policy Research, and Stanford RegLab, participants discussed the current regulatory environment governing AI in California and how regulation can improve trust in AI systems. Panel members included Jeremy Weinstein, Stanford professor of political science; Jennifer Urban, UC Berkeley law professor and California Privacy Protection Agency board chair; and Ernestine Fu, California 100 commissioner and venture partner at Alsop Louie. Among other topics, the three discussed the need for algorithms to rely on high-quality data to prevent bias and the importance of providing consumers more power over the use of their data.
Sachin Waikar, Stanford Institute for Human-Centered Artificial Intelligence
January 2022