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  1. Mitigating Racial Bias in Machine Learning.Kristin M. Kostick-Quenet, I. Glenn Cohen, Sara Gerke, Bernard Lo, James Antaki, Faezah Movahedi, Hasna Njah, Lauren Schoen, Jerry E. Estep & J. S. Blumenthal-Barby - 2022 - Journal of Law, Medicine and Ethics 50 (1):92-100.
    When applied in the health sector, AI-based applications raise not only ethical but legal and safety concerns, where algorithms trained on data from majority populations can generate less accurate or reliable results for minorities and other disadvantaged groups.
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  • A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning.Melissa D. McCradden, James A. Anderson, Elizabeth A. Stephenson, Erik Drysdale, Lauren Erdman, Anna Goldenberg & Randi Zlotnik Shaul - 2022 - American Journal of Bioethics 22 (5):8-22.
    The application of artificial intelligence and machine learning technologies in healthcare have immense potential to improve the care of patients. While there are some emerging practices surro...
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