In AI We Trust? Governing High-stakes AI Before Regulators Step In

AI is shaping critical decisions, financial outcomes, and consumer trust — and regulators are stepping in fast. Enforcement is underway, and the margin for error is shrinking across industries. This session equips you with a “high-stakes AI governance toolkit” of regulatory-ready templates, risk-tiered impact assessment models, fairness and accountability checklists, and vendor oversight clauses you can adapt to your most sensitive systems. Speakers will unpack AI failures dominating headlines — from generative AI outputs under investigation to banned therapy tools, AI-driven fraud engines, and retail algorithms flagged as deceptive — and examine the governance pitfalls they highlight, along with strategies for addressing them. They will explore how to embed safeguards without stalling innovation, defend decisions under regulatory and public scrutiny, and extend oversight across your vendor and partner ecosystem. Attendees will leave with actionable tools and frameworks to reinforce resilience and keep their most consequential AI off the regulatory fault line.

What you will learn: 

• Pinpoint which AI use cases are most likely to land on regulators’ radar.
• Build governance safeguards that stand up under real-world pressure without slowing innovation.
• Close the gaps in transparency and accountability that erode trust and invite enforcement.