References

• 2023Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies871 cited
• 2021Algorithmic bias: review, synthesis, and future research directions767 cited
• 2021A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle573 cited
• 2021Addressing Fairness, Bias, and Appropriate Use of Artificial Intelligence and Machine Learning in Global Health304 cited
• 2023Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning142 cited
• 2023Awareness of Racial and Ethnic Bias and Potential Solutions to Address Bias With Use of Health Care Algorithms79 cited

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