Discover why ethical AI isn’t optional — it’s essential.

As AI becomes embedded in everything from hiring platforms to healthcare diagnostics, the stakes for responsible development have never been higher. Intro to AI Ethics & Bias gives learners a critical lens on how AI systems can unintentionally reinforce real-world inequalities — and what we can do to prevent it.

This course unpacks how bias enters algorithms, how data reflects societal imbalances, and how ethical blind spots in development can have far-reaching consequences. You’ll explore real case studies that expose AI failures in fairness, accountability, and transparency — and gain practical tools for identifying and mitigating bias in AI systems.

Designed for learners across disciplines — not just technical teams — this course empowers participants to think critically, ask the right questions, and contribute to AI practices that are not only innovative, but also equitable and trustworthy.