Overview
- Covers ethics, artificial intelligence, and health disparities
- Shows how AI may increase—instead of decrease—health disparities
- Is of interest to a broad audience, including health services researchers, ethicists, and AI policy makers
Part of the book series: The International Library of Bioethics (ILB, volume 107)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (6 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
This book explores the ethical problems of algorithmic bias and its potential impact on populations that experience health disparities by examining the historical underpinnings of explicit and implicit bias, the influence of the social determinants of health, and the inclusion of racial and ethnic minorities in data. Over the last twenty-five years, the diagnosis and treatment of disease have advanced at breakneck speeds. Currently, we have technologies that have revolutionized the practice of medicine, such as telemedicine, precision medicine, big data, and AI. These technologies, especially AI, promise to improve the quality of patient care, lower health care costs, improve patient treatment outcomes, and decrease patient mortality. AI may also be a tool that reduces health disparities; however, algorithmic bias may impede its success. This book explores the risks of using AI in the context of health disparities. It is of interest to health services researchers,ethicists, policy analysts, social scientists, health disparities researchers, and AI policy makers.
Authors and Affiliations
About the author
Throughout her professional career, Dr. Williams has worked on public health issues focused on vulnerable populations including minority health, health disparities, prisoner reentry, and drug treatment courts. Her current research focuses on the intersection of artificial intelligence, algorithmic bias, and health disparities.
Dr. Williams received her doctorate in social policy, with a concentration in health services research, from Brandeis University, her juris doctor degree from George Mason School of Law, her master of laws degree in health law from Loyola University Chicago School of Law, and her master’s degree in public health from the Johns Hopkins Bloomberg School of Public Health. She also has a bachelor’s degree in medical technology from the University of Maryland at Baltimore.
Dr. Williams was the A. Leon Higginbotham Jr. Research Fellow in Social Justice at Harvard Law School and an H. Jack Geiger Congressional Fellow in Health Policy.
Bibliographic Information
Book Title: Artificial Intelligence and Healthcare
Book Subtitle: The Impact of Algorithmic Bias on Health Disparities
Authors: Natasha H. Williams
Series Title: The International Library of Bioethics
DOI: https://doi.org/10.1007/978-3-031-48262-5
Publisher: Springer Cham
eBook Packages: Religion and Philosophy, Philosophy and Religion (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-48261-8Published: 02 January 2024
Softcover ISBN: 978-3-031-48264-9Due: 28 January 2024
eBook ISBN: 978-3-031-48262-5Published: 01 January 2024
Series ISSN: 2662-9186
Series E-ISSN: 2662-9194
Edition Number: 1
Number of Pages: X, 114
Number of Illustrations: 1 b/w illustrations, 5 illustrations in colour
Topics: Ethics, Public Health, Health Policy, Social Policy