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Addressing AI Algorithmic Bias in Health Care

Raj M. Ratwani · Karey M. Sutton · Jessica E. Galarraga

114 citations0/0 files storedJAMA

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Ethics and Social Impacts of AI Artificial Intelligence in Healthcare and Education Explainable Artificial Intelligence (XAI)

Abstract

This Viewpoint discusses the bias that exists in artificial intelligence (AI) algorithms used in health care despite recent federal rules to prohibit discriminatory outcomes from AI and recommends ways in which health care facilities, AI developers, and regulators could share responsibilities and actions to address bias.

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2019Dissecting racial bias in an algorithm used to manage the health of populations 2019Addressing Bias in Artificial Intelligence in Health Care

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2025Biases in AI: acknowledging and addressing the inevitable ethical issues 2025Algorithmic Bias as a Core Legal Dilemma in the Age of Artificial Intelligence: Conceptual Basis and the Current State of Regulation 2024Algorethics in Healthcare: Balancing Innovation and Integrity in AI Development 2026From Tool to Agent: A Semi-Systematic Review of Human–AI Alignment and a Proposed Tiered Healing Ecosystem for Mental Health 2025Hot nudges on hazy landscapes

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