Overview

For years, technologists and computer scientists have promised an AI revolution that would transform the very basis of how we imagine and administer modern medicine. AI-driven advancements in medical error rates, diagnostic accuracy, or disease outbreak detection could potentially save thousands of lives. But health AI also carries the potential for exacerbating deep systemic biases if left unchecked.The Doctor and the Algorithm combines insights from science and technology studies, critical algorithm studies, and public interest informatics to better understand the promise and peril of health AI. The book draws on case studies in automated diagnostics, algorithmic pain measurement, AI-driven drug discovery, and death prediction to investigate how health AI is made, promoted, and justified. It explores the enthusiastic promises of health AI marketing communication and medical futurism while also analyzing the inequitable outcomes new AI technology often creates for already marginalized communities. Finally, the book closes with specific recommendations for regulatory frameworks that might support more ethical and equitable approaches to health AI in the future.Interweaving textual analysis and original informatics, The Doctor and the Algorithm offers a sobering analysis of the promise of medical AI against the real and unintended consequences that deep medicine can bring for patients, providers, and public health alike.

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9780197644461

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Reviews

In this book, S. Scott Graham meticulously lays out examples of AI models being used in medical care, critically examines their use, and contrasts what is known about AI from the scientific literature with claims being made by AI model developers, medical experts, and futurists. In doing so, Dr. Graham brings health AI to life by painting a rich picture of how AI is developed, studied, and marketed, and why these processes fundamentally incentivize hype as a core component of adoption. This book is refreshing because it directly takes experts to task for their claims on medical AI that result in extreme hype or cynicism. For AI newcomers and experts alike, this book will leave you with a deep appreciation for the complex social phenomena that underlie the lifecycle of AI models from development to deployment. * Karandeep Singh, MD, MMSc, Chair, Michigan Medicine Clinical Intelligence Committee, University of Michigan *

Scott highlights the potential synergies of often-siloed literatures from bioethics, critical algorithm studies, and government regulation. Importantly, he encourages experts to engage in conversation by introducing key concepts from their respective fields, articulating common goals, and proposing a rubric for assessing how well a particular technology meets the standards for a just AI...This book is most suitable for scholars and researchers who are already familiar with at least one of the literatures on which the author draws. * Choice * A seminal and groundbreaking study that is timely, well written, impressively informative, exceptionally thought provoking, and enhanced for the reader with the inclusion of an eight page Technical Appendix, twenty four pages of Notes, a sixteen page listing of References, and a six page Index, The Doctor and the Algorithm: Promise, Peril, and the Future of Health AI is unreservedly recommended for personal, professional, community, medical school, college, and university library Health/Medicine and AI collections and supplemental curriculum studies lists. * Library Bookwatch * In this book, S. Scott Graham meticulously lays out examples of AI models being used in medical care, critically examines their use, and contrasts what is known about AI from the scientific literature with claims being made by AI model developers, medical experts, and futurists. In doing so, Dr. Graham brings health AI to life by painting a rich picture of how AI is developed, studied, and marketed, and why these processes fundamentally incentivize hype as a core component of adoption. This book is refreshing because it directly takes experts to task for their claims on medical AI that result in extreme hype or cynicism. For AI newcomers and experts alike, this book will leave you with a deep appreciation for the complex social phenomena that underlie the lifecycle of AI models from development to deployment. * Karandeep Singh, MD, MMSc, Chair, Michigan Medicine Clinical Intelligence Committee, University of Michigan *

Author Information

S. Scott Graham, PhD, is Associate Professor in the Department of Rhetoric and Writing at the University of Texas at Austin. He has written extensively about communication in health science and policy. He is the author of The Politics of Pain Medicine (University of Chicago Press, 2015) and numerous articles in journals ranging from the Journal of Medical Humanities and Rhetoric of Health & Medicine to Plos-One and the Annals of Internal Medicine. His research has been reported on in The New York Times, US News & World Report, Science, Health Day, AI in Health Care, and Scientific Inquirer.

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