As AI transforms both the risks that insurers cover and the way insurers make decisions, new legal and regulatory challenges are emerging. Join Professor Daniel Schwarcz of the University of Minnesota Law School as he explores how uncertainty around AI-related liability is reshaping insurance markets, drawing lessons from cyber insurance, and examines the implications of insurers’ use of AI in underwriting, pricing and claims handling. This timely session will address critical questions of accountability, transparency, explainability and fairness in an increasingly algorithm-driven insurance sector.
10.00am – Registration along with morning tea and networking
10.45am – session begins
11.45am – session ends
Moderator: Virginia Wethey
