What you'll learn

As AI systems take on roles with real human impact—from hiring and lending to healthcare and law enforcement—organizations can no longer afford to treat governance as an afterthought. In this course, Human Oversight for AI, you'll gain the ability to design decision-making structures that keep humans meaningfully in control of AI systems. First, you'll explore the foundational case for human oversight and learn how to identify where review adds genuine value versus where automation is appropriate. Next, you'll discover how fairness, transparency, and explainability shape stakeholder trust, and how to evaluate and mitigate bias throughout the AI lifecycle. Finally, you'll learn how to apply responsible AI principles in practice—establishing accountability, building audit trails, and navigating the organizational tradeoffs between innovation and oversight. When you're finished with this course, you'll have the skills and knowledge of AI governance needed to build oversight structures that are principled, practical, and durable.