Which statement best describes **Explainable AI**?

Why is explainability important in high-stakes domains?

Gain a foundational understanding of Explainable AI (XAI): what it is, why it matters, key concepts, main techniques, and ethical considerations. This course is theory-focused, using clear explanations and quizzes to build your intuition about making AI systems more transparent and trustworthy.

Explore the foundations of Explainable AI: what it means, why it is needed, and the challenges it addresses.

Dive into the main principles and techniques used to make AI models more explainable.

Understand how XAI is applied in real-world settings and the ethical considerations involved.

Quiz: Foundations of Explainable AI

1. Which statement best describes Explainable AI?

2. Why is explainability important in high-stakes domains?

3. What is a black box model?

4. Which is a challenge for XAI?

Quiz: Foundations of Explainable AI

1. Which statement best describes Explainable AI?

2. Why is explainability important in high-stakes domains?

3. What is a black box model?

4. Which is a challenge for XAI?