Toward an “Equitable” Assimilation of Artificial Intelligence and Machine Learning Into Our Health Care System

Abstract

Enthusiasm about the promise of artificial intelligence and machine learning in health care must be accompanied by oversight and remediation of any potential adverse effects on health equity goals that these technologies may create. We describe five equity imperatives for the use of AI/ML in health care that require attention from health care profes-sionals, developers, and policymakers.