As AI systems increasingly influence enterprise decision-making, Audit and Risk professionals are expected to provide assurance over processes that are automated, probabilistic, and often opaque.
This session explores why trust in AI cannot be based on performance alone, and why transparency and explainability are now essential control requirements. Participants will examine how AI-driven decisions introduce model risk, governance gaps, and assurance challenges, and how these risks can be assessed using established Audit, Risk, and GRC practices.
The webinar also discusses how blockchain-based and immutable audit trails can enhance decision traceability and evidence integrity, supporting accountability and regulatory defensibility.
