As AI systems become widely deployed and increasingly influential, organizations and individuals face growing risks—from model failures and bias to regulatory conflicts and misinformation. Understanding how to navigate these challenges requires more than technical knowledge.
In this course, get a practical, globally informed overview in AI risks, governance models, and responsible use. Using real examples, you’ll learn to recognize failure patterns, assess explainability gaps and data privacy risks, and maintain human oversight in high-stakes decisions. Along the way, develop the literacy to know when not to use AI tools and how to evaluate AI systems against global governance standards.
This course features Professor Arisa Ema of the University of Tokyo—one of Japan’s leading experts on AI governance and a renowned contributor to national AI policy councils.
