Regulatory Crossroads: Responsible AI Governance Across Sectors in the Agentic Age

Companies across sectors, including financial services and healthcare, face complex and uncertain regulatory obligations amid a competitive business landscape eager to leverage the benefits of artificial intelligence technologies.  Practitioners must navigate fragmented, overlapping or unclear rules and guidance on how best to develop, deploy and govern AI.

This panel will address the cross-sectoral regulatory issues in responsible AI governance. In financial services, institutions must reconcile AI use cases with strict prudential standards, model risk management requirements, and   consumer protection obligations. In healthcare, privacy laws, medical technology pre-clearance requirements, and data collection and use, limitations create additional complexity.

Experts from a leading AI developer, financial information services provider, and healthcare technology company will examine how sector-specific risks may require tailored governance approaches. They will also discuss lessons learned from the Financial Services AI Risk Management Framework, and how to update practices to address agentic AI.

What you will learn:

• Practices necessary to deploy AI systems that operate across regulated environments, particularly in financial, health or other scenarios that implicate sensitive data use or result in significant individual outcomes.
• How to update governance approaches to address agentic AI, including dynamic risk monitoring, logging and managing permissions for non-human identities.
• How to leverage frameworks to create internal benchmarks for AI vendor assessment and tool integration.