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Designing Effective AI Compliance Programs

Rishi Satia, Amir Ghavi, Ben Rossen, and John J Horton

AI tools' increasingly "black box" nature has significant implications for potential enforcement actions. Prior enforcement actions have focused on the human role in developing and monitoring algorithms. How can firms implement effective compliance audit programs as human decisions become less important?

This panel discusses the evolving landscape of artificial intelligence (AI), mainly focusing on recent advancements, legal challenges, regulatory responses, and standard-setting efforts. Legal challenges, primarily copyright-related, have emerged, with debates around fair use and labor issues gaining traction. The panel also addresses the potential risks of AI, such as algorithmic collusion in pricing strategies and the need to distinguish between legitimate uses of predictive algorithms and deceitful behavior.