28th Annual BTLJ-BCLT Spring Symposium: (Day 2, Panel 3) Private Ordering Approaches to AI Governance
Program occurred February 27, 2025
David Evan Harris, UC Berkeley Haas School of Business
Nik Marda, Mozilla
Deirdre Mulligan, UC Berkeley School of Information & UC Berkeley Center for Law & Technology (BCLT)
Christopher Yoo, University of Pennsylvania Carey Law School
Ken Bamberger, UC Berkeley Center for Law & Technology (BCLT) (Moderator)
Initiatives to regulate artificial intelligence are being developed and implemented at the state, local, national, regional, and international levels. This symposium began with a half-day tutorial on Thursday, February 27 for those not yet acquainted with major initiatives such as the California legislature’s SB 1047 (the Safe and Secure Innovation for Frontier Artificial Intelligence Models Act), which Governor Newsom vetoed; the Biden Administration’s Executive Order on the Safe, Secure, & Trustworthy Development and Use of Artificial Intelligence; the European Union’s AI Act; and technical governance measures.
On Friday, February 28, a full day of speakers presented a range of perspectives on these initiatives and others, considering various types of governance tools (such as procurement policies and disclosure requirements) that regulators may deploy, and offering assessments of which are more and less likely to be effective in promoting artificial intelligence systems for the public good and ensuring safe and trustworthy development of such systems. Speakers also explored private ordering initiatives and the role of standards in achieving these important goals.
Disclaimer: All views or opinions expressed by any presenter during the course of this CLE is that of the presenter alone and not an opinion of the Oklahoma Bar Association, the employers, or affiliates of the presenters unless specifically stated. Additionally, any materials, including the legal research, are the product of the individual contributor, not the Oklahoma Bar Association. The Oklahoma Bar Association makes no warranty, express or implied, relating to the accuracy or content of these materials.