Measurement and Mitigation of Bias in Artificial Intelligence: A Narrative Literature Review for Regulatory Science

Measurement and Mitigation of Bias in Artificial Intelligence: A Narrative Literature Review for Regulatory Science

Artificial intelligence (AI) is increasingly being used in decision making across various industries, including the public health arena. Bias in any decision‐making process can significantly skew outcomes, and AI systems have been shown to exhibit biases at times. The potential for AI systems to per...

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Veröffentlicht in:Clinical pharmacology and therapeutics 2024-04, Vol.115 (4), p.687-697
Hauptverfasser: Gray, Magnus, Samala, Ravi, Liu, Qi, Skiles, Denny, Xu, Joshua, Tong, Weida, Wu, Leihong
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Sprache:eng
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Artificial Intelligence
Benchmarking
Bias
Humans
Public Health
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container_end_page 697
container_issue 4
container_start_page 687
container_title Clinical pharmacology and therapeutics
container_volume 115
creator Gray, Magnus
Samala, Ravi
Liu, Qi
Skiles, Denny
Xu, Joshua
Tong, Weida
Wu, Leihong
description Artificial intelligence (AI) is increasingly being used in decision making across various industries, including the public health arena. Bias in any decision‐making process can significantly skew outcomes, and AI systems have been shown to exhibit biases at times. The potential for AI systems to perpetuate and even amplify biases is a growing concern. Bias, as used in this paper, refers to the tendency toward a particular characteristic or behavior, and thus, a biased AI system is one that shows biased associations entities. In this literature review, we examine the current state of research on AI bias, including its sources, as well as the methods for measuring, benchmarking, and mitigating it. We also examine the biases and methods of mitigation specifically relevant to the healthcare field and offer a perspective on bias measurement and mitigation in regulatory science decision making.
doi_str_mv 10.1002/cpt.3117
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subjects Artificial Intelligence
Benchmarking
Bias
Humans
Public Health
title Measurement and Mitigation of Bias in Artificial Intelligence: A Narrative Literature Review for Regulatory Science
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