AI systems can create extraordinary results—but also extraordinary errors. AI Safety 101: Hallucinations, Bias, and AI Ethics gives you the foundation to understand why AI sometimes gets things wrong and what you can do about it.

You’ll learn how hallucinations occur, how bias shapes data and outcomes, and how to apply ethical principles that make AI use safer, more transparent, and more trustworthy. This course blends plain-language explanations with real-world examples from law, education, and business—helping you move from curiosity to competence.

By the end, you’ll be able to identify AI hallucinations, evaluate bias, design safer workflows, and explain AI limitations clearly to non-technical audiences.