Exploring "The Fourth Industrial Revolution and 100 Years of AI" by Dr. Alok Aggarwal, we dive into the critical world of Explainable AI (XAI), uncovering the complex challenge of making artificial intelligence transparent and understandable. From the limitations of "black box" models to innovative approaches in interpreting AI decisions, we examine why understanding how AI thinks is as crucial as the decisions it makes. We'll explore the delicate balance between model accuracy and explainability, investigate methods for creating more transparent AI, and confront the fundamental challenge of teaching machines to explain their reasoning.

Can we create AI that not only makes decisions but can also articulate why?