The Wisconsin Compliance Initiative will host “A New Era of Corporate Compliance: Opportunities, Risks, and Ethical Dimensions of Generative AI and Emerging Technologies” on Wednesday, September 17, from 4:00 to 6:00 PM. The program is available virtually or in person at UW Law School and qualifies for 2 CLE credits. See registration information.
The program features three sessions examining how AI is affecting corporate compliance work:
Session 1: Emerging Technologies and Compliance: What Regulators Expect and What GenAI Can Do with Matt Galvin–Co-Founder, Gentic Global Advisors & Transforming Legal
Drawing on his unique experience at the intersection of public enforcement and private sector innovation, Matt will discuss how regulators—especially the U.S. Department of Justice—are thinking about GenAI in the compliance context. He will also provide an overview of the cutting-edge tools available to help organizations detect, prevent, and respond to misconduct more effectively.
Session 2: Inside the Enterprise: How Corporate Compliance Professionals Are Navigating GenAI with moderator David W. Simon, Foley & Lardner LLP
Panelists:
- Eric Barber, Chief Legal Counsel, State of Wisconsin Investment Board (SWIB)
- Mai Der Shaw, Deputy General Counsel, Compliance Officer, and Assistant Secretary, Harley-Davidson
- Brandon Young, Assistant General Counsel, Compliance, Fortive Corporation
Hear directly from corporate compliance leaders about the promises and pitfalls of GenAI in the field. This candid conversation will surface practical insights about managing risk, deploying AI-enabled systems, and ensuring responsible use across complex organizations.
Session 3: Ethics at the Edge: Human Oversight of Predictive Compliance with Professor BJ Ard, Associate Professor of Law and Associate Dean , UW Law School
This session will delve into recurring professional and ethical dilemmas emerging from the use of AI in organizational decision-making. Drawing on his scholarship on AI and technology law, Professor Ard will examine how predictive and generative systems can amplify or undermine fairness, privacy, and reviewability in compliance and enforcement.