AI Today Podcast: Trustworthy AI Series: Explainable & Interpretable AI

The podcast explores the importance of explainable and interpretable AI, including the need for verifiable explanations, algorithmic transparency, and debugging AI systems. It discusses the significance of understanding root cause explanations and the challenges in achieving explainability. The chapter also highlights the difference between black box and white box algorithms and the importance of choosing the right algorithmic approach. It concludes by discussing trustworthy AI resources, upcoming interviews, and listener feedback.