When a machine can read a tremor in your voice and mirror your mood, what exactly is it giving you back? This book is a clear-eyed guide to the fast-rising world of emotion AI and affective computing, revealing how systems learn to recognise feeling and perform care without ever experiencing it. Blending design insight with practical ethics, it explains how emotion recognition technology works, where it helps, and where it quietly shifts power over consent, privacy, and dignity. Written for product leaders, clinicians, educators, policymakers, and curious readers, it translates complex research in human-computer interaction into straightforward checklists, questions, and field-tested heuristics. You will learn how to evaluate claims about empathy in AI, pressure-test vendor promises around ethical AI design, and set boundaries that protect privacy and biometric data in homes, classrooms, clinics, and workplaces. Real-world case studies explore AI in mental health and the expanding role of social robots and care, showing how to design comfort without deception and accountability without theatre. By the end, you will have a durable framework to judge systems that read and respond to human feeling, plus the language to say yes to what helps and no to what harms. If you want to harness emotion-aware tools while safeguarding the people who use them, this book gives you the map.