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Ethics and Governance of AI in Healthcare discusses how ethical and human rights issues can be integrated into the transformational potential of artificial intelligence (AI), machine learning, and automation in the fields of medicine and public health. Through a broad sociological lens, the book takes a critical perspective on the social implications of AI and related technologies. It begins by examining the huge impact that AI is already having on medicine and public health, before spotlighting the inequalities in the way AI is designed and deployed across different social groups, highlighting issues of class, race, and gender, as well as power disparities in the roll-out of these technologies. The book then explores current ethical standards within healthcare settings, including technical and sociotechnical biases encoded into existing systems, before looking at a range of existing governmental approaches to AI regulation in medicine and healthcare. It concludes by suggesting a new sociological framework to ensure the governance of AI fully considers ethical and human rights issues in the future. Important and erudite, and including practical recommendations, this book will be essential reading for students and scholars across Public Health, Sociology, Health and Social Care, Medicine and Nursing, as well as practitioners and policy-makers in these fields.
Prem Misir is currently Adjunct, Doctor of Executive Leadership program and Master of Public Health, University of Lynchburg; Adjunct, Sociology and Adjunct, Public Health, Trinity Washington University; and Advisor, Ministry of Natural Resources, Government of Guyana. Former appointments include Vice-Chancellor, The University of Fiji; Pro Vice-Chancellor and Professor and Head, School of Public Health, Solomon Islands Campus, The University of the South Pacific; Pro-Chancellor, University of Guyana.
Foreword by Manoj Sharma. Preface. 1. Introduction: A Future-Oriented Era 2. AI-Driven Health Interventions on Health Inequality 3. The Ethical AI in AI Sociology 4. Impact of Generative AI on Health Disparities 5. Lessons Learnt from Using AI in COVID-19 6. The Sociology of AI Ethical Framework for Healthcare. Index
