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AI Ethics & Responsible AI

A beginner's guide to bias, fairness, privacy, transparency, and governance for AI systems deployed in society.

beginner · 45 minutes

Responsible AI is about building and deploying systems that are fair, accountable, transparent, and respectful of people's rights. This course focuses on the *societal and ethical* questions that arise when AI meets the real world, distinct from the technical challenge of aligning advanced systems. You will learn to spot different kinds of harm, reason about why fairness fixes often fail, and understand modern governance approaches.

What you'll learn

  1. What Responsible AI Means (and How It Differs from Alignment)
  2. Where Bias Comes From
  3. Fairness: Why You Can't Have It All
  4. Kinds of Harm: Allocative, Representational, and Privacy
  5. Transparency, Explainability, and Their Limits
  6. Accountability, Governance, and Responsible Deployment

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