This session focuses on how verifiability, auditability, and transparent data provenance can increase confidence in autonomous AI. It examines the role of cryptographic proofs and governance frameworks in meeting enterprise and regulatory requirements. The discussion highlights what it takes to make trusted AI systems viable at scale.
