Artificial Intelligence and Healthcare

The Impact of Algorithmic Bias on Health Disparities

Häftad, Engelska, 2025

Av Natasha H. Williams

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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.

Produktinformation

Utgivningsdatum2025-01-03
Mått155 x 235 x 8 mm
Vikt201 g
FormatHäftad
SpråkEngelska
SerieInternational Library of Bioethics
Antal sidor114
FörlagSpringer International Publishing AG
ISBN9783031482649

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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.

Chapter 1. Artificial Intelligence and Algorithmic Bias.- Chapter 2. What are Health Disparities.- Chapter 3. The Inclusion of Racial and Ethnic Minority Groups Participation in Clinical Trials.- Chapter 4. The Impact of Implicit Bias on Data Diversity.- Chapter 5. Will Artificial Intelligence Improve Health Disparities?.- Chapter 6. Artificial Intelligence and Health Disparities: Policy, Regulation, and Implications.