Human Out of the Loop? Practical Governance Strategies for the Agentic AI Era

Agentic AI - the third wave of artificial intelligence, following machine learning and generative AI - is fundamentally different. Unlike earlier AI systems governed by "human-in-the-loop" principles, agentic AI is designed for autonomy, acting independently to achieve specific goals and often leaving the human out of the immediate decision cycle. For digital governance professionals, this creates a fresh and urgent set of challenges. Current AI policies and ethical principles, while effective for traditional and generative AI, fall short when addressing a technology built to self-direct and proactively perform tasks - for hours or days on end. We must pivot from passive oversight to automated, technical control and system-level governance. This interactive panel will move past theoretical frameworks and explore practical, real-world governance approaches for the agentic AI era. Through shared experiences and actionable case studies from highly regulated sectors, attendees will gain insight into what works and what does not when governing increasingly autonomous systems. 

What you will learn:

• The critical difference between governing "human-in-the-loop" systems and designing guardrails for autonomous agents. 
• Cross-industry successes and challenges in areas like financial services, pharmaceuticals and human resources where agentic capabilities are rapidly being deployed. 
• A clear, actionable framework to identify the level of human oversight required for agents deployed in your company or institution.