Can AI Streamline Regulation and Reduce Compliance Burdens?
Presidents of both parties have launched efforts to make government regulations more efficient and effective, including through evaluation of outcomes (Obama), offsetting the costs of new regulations by removing old ones (Trump), and more robust engagement of the public in designing new regulations (Biden). These have faced data challenges, but generative AI may offer new opportunities for examining and evaluating regulations, and engaging diverse perspectives.
These panels of experts from government, academia, and the private sector will explore whether and how AI can improve government outcomes.
Speakers Include:
Commissioner Kristin Johnson, Commissioner, Commodity Futures Trading Commission
Dan Berkowitz, former Commissioner of the Commodity Futures Trading Commission, and former General Counsel of the U.S. Securities and Exchange Commission
Reeve Bull, Director of Virginia’s Office of Regulatory Management
Cary Coglianese, Edward B. Shils Professor of Law and Director, Penn Program on Regulation University of Pennsylvania
Jordan Crenshaw, senior vice president at the U.S. Chamber of Commerce’s Technology Engagement Center (C_TEC)
Bridget Dooling, Assistant Professor of Law, The Ohio State University; Senior Fellow, Administrative Conference of the United States; former OIRA official and member of the Biden-Harris Transition Team
Susan Dudley, Former OIRA Administrator, Founder of GW's Regulatory Studies Center and Professor of Practice, Trachtenberg School of Public Policy and Public Administration
Michael Mandel, Chief Economist of the Progressive Policy Institute
John Nay, Founder & CEO, Norm Ai
Roger Nober, Director of the Regulatory Studies Center and Professor of Practice, Trachtenberg School of Public Policy and Public Administration
Troy Paredes, Former SEC Commissioner
Agenda:
12:00-12:30 Lunch
12:30-12:50 Remote remarks from CFTC Commissioner Kristin Johnson
12:55-1:25 Professor Bridget Dooling remarks
1:30-2:35 Panel 1: AI’s Role in Regulation Post-Chevron
2:35-2:50 Break
2:50-3:55 Panel 2: Regulatory Functions Most Amenable to AI-Driven Process Improvement
4:00-5:00 Fireside chat with John Nay and Jordan Crenshaw
5:00-5:10 Closing remarks
5:10-6:30 Reception