Description
Artificial intelligence is rapidly transforming health promotion, offering powerful new tools for personalized behavior change, community engagement, and population-level interventions. Yet the ethical challenges these technologies raise — including issues of autonomy, bias, privacy, manipulation, and equity — have received far less attention than AI applications in clinical medicine. AI Ethics for Health Promotion: Principles, Practice, and Governance provides the first comprehensive textbook dedicated to this critical and emerging field. Drawing on global frameworks, particularly the World Health Organization’s guidance on AI ethics in health, this book offers an interdisciplinary analysis that integrates public health ethics, AI ethics, and responsible innovation. Through twelve carefully structured chapters, the book examines foundational ethical principles, core challenges such as data governance, algorithmic bias, transparency, and persuasive design, as well as practical applications across individual, community, and institutional settings. Special attention is given to vulnerable populations, cultural adaptation, data sovereignty, and the governance of emerging technologies, including generative AI. Each chapter combines rigorous conceptual discussion with real-world case studies, discussion questions, and curated recommended readings, making the book equally suitable for teaching and professional development. Written for students, researchers, practitioners, policymakers, and technology developers, this textbook equips readers with the ethical frameworks and practical tools needed to design, deploy, and govern AI systems that genuinely advance health and well-being. It is an essential resource for anyone seeking to ensure that the future of AI in health promotion is not only effective, but also equitable, transparent, and respectful of human dignity.