Artificial intelligence and algorithmic bias: implications for health systems

Abstract

We define, for the first time, algorithmic bias in the context of AI and health systems as: "the instances when the application of an algorithm compounds existing inequities in socioeconomic status, race, ethnic background, religion, gender, disability or sexual orientation to amplify them and adversely impact inequities in health systems."

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