Governing Agentic AI: Ethics, Risk, and Compliance

As AI systems transition from passive assistants to autonomous agents that make decisions and execute actions, establishing robust guardrails is more critical than ever. This text-only course provides a foundational roadmap to understanding the unique risks of agentic AI and implementing practical governance frameworks. You will explore how to design systems that align with human values, comply with emerging standards, and maintain clear accountability.\n\nWhat you'll learn:\n- Understand the core concepts of agentic AI, autonomy levels, and the fundamental shift in risk profiles.\n- Identify key vulnerabilities in autonomous agent workflows, including prompt injection and cascading failures.\n- Implement modern alignment techniques and human-in-the-loop oversight patterns.\n- Design governance frameworks and guardrails to ensure ethical decision-making and data privacy.\n- Evaluate emerging global AI regulations and compliance standards for autonomous systems.\n\nStarting with foundational definitions of agency and risk, the material guides you through practical threat modeling, ethical framework design, and hands-on governance strategies for autonomous deployments. This course is designed for beginners, including product managers, risk officers, developers, and technology leaders looking to understand AI safety without needing a background in complex coding. Begin your journey toward leading responsible AI initiatives in the era of autonomous agents.