A book about the rapid integration of Artificial Intelligence (AI) into various aspects of life, emphasizing the transformative impact and disruptions it brings to human experiences. It highlights both significant benefits and risks, with the primary focus on technical implementations and associated risks like understandability, explainability, and transparency. John Liu and Uday Kamath’s book on explainable AI (XAI) is praised as a comprehensive guide for the AI/ML community, covering various dimensions of AI technical risks and providing in-depth coverage of XAI techniques, ranging from traditional white-box models to advanced black-box models with a focus on applications in natural language processing, computer vision, and time series.