Introduction to Agentic AI Governance

Discover the emerging field of agentic AI governance in this comprehensive and insightful course. Award-winning AI leader Vidhi Chugh dives deep into key topics such as risks associated with AI autonomy, the importance of transparency, and the pressing need for practical governance frameworks. Learn how to identify and mitigate potential unintended consequences by understanding the regulatory landscape and available best practices. Gain insights into the challenges of AI alignment and how to address them using methods like Constitutional AI. Explore the journey from traditional AI systems to highly autonomous agentic AI, uncovering the associated ethical concerns and accountability mechanisms along the way. Focus on case studies, real-world scenarios, and established governance models, as you discover how to implement robust, reliable, and trustworthy AI systems. This course helps you rethink how to build, scale, and govern AI technologies responsibly.

Learning objectives
Explain how risks have exacerbated from AI to generative AI to agentic AI systems.
Describe the urgency of governing agentic AI systems.
Differentiate between governing AI systems and agentic AI Systems.
Identify the key challenges in governing agentic AI.
List the core principles and dimensions of agentic AI governance.