The Heart of AI: Decoding Emotional Machines by Sebastian B. Drayton delves into Emotional AI, or affective computing, revealing how AI systems identify, interpret, and react to human emotions via voice, facial expressions, text, and physiological data. It details the core technologies—machine learning, computer vision, sentiment analysis, and sensor fusion—that enable emotion recognition and simulation. Through practical examples in healthcare, education, marketing, and customer service, the book illustrates how emotional AI fosters more empathetic, human-centered interactions. It also explores ethical challenges such as privacy, emotional manipulation, and bias, emphasizing the importance of responsible AI development and governance.