Navigating AI Interpretability and Safety

This chapter explores the evolving field of AI interpretability, emphasizing its importance for ensuring safety and usability in AI systems. It discusses practical techniques and frameworks for interpreting models, highlighting ongoing challenges and advancements. The conversation also touches on the significance of critical evaluation in the face of commercial hype and the complexities introduced by adversarial attacks on AI models.