AI Governance in Health Care: Balancing Innovation, Oversight and Accountability

The health care sector is rapidly adopting AI and generative models to enhance diagnostics, patient engagement and operational efficiency. Yet, this transformation raises unprecedented governance and compliance challenges. How can companies and institutions ensure accountability for autonomous AI agents making critical health-related decisions? Which mechanisms can mitigate the unique privacy and security vulnerabilities of generative systems, such as data exfiltration, model poisoning, or synthetic identity attacks? This session brings together three industry leaders with first-hand experience in managing AI implementation within health care environments. They will discuss emerging global frameworks, including the EU AI Act and NIST AI RMF, and explore how these standards can be mapped to practical governance and security controls. Attendees will gain actionable insights to responsibly deploy AI while maintaining compliance, transparency and patient trust.

What you will learn: 

• How to design accountability and human oversight mechanisms for autonomous AI agents in health care. 
• Key strategies to detect and mitigate GenAI privacy and security risks, including data leakage and model manipulation. 
• Practical ways to align global AI governance frameworks, including EU AI Act, with healthcare compliance and ethical standards.