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    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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    Researcher Views on Changes in Personality, Mood, and Behavior in Next-Generation Deep Brain Stimulation.Peter Zuk, Clarissa E. Sanchez, Kristin Kostick-Quenet, Katrina A. Muñoz, Lavina Kalwani, Richa Lavingia, Laura Torgerson, Demetrio Sierra-Mercado, Jill O. Robinson, Stacey Pereira, Simon Outram, Barbara A. Koenig, Amy L. McGuire & Gabriel Lázaro-Muñoz - forthcoming - American Journal of Bioethics Neuroscience:1-13.
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    Research on the Clinical Translation of Health Care Machine Learning: Ethicists Experiences on Lessons Learned.Jennifer Blumenthal-Barby, Benjamin Lang, Natalie Dorfman, Holland Kaplan, William B. Hooper & Kristin Kostick-Quenet - 2022 - American Journal of Bioethics 22 (5):1-3.
    The application of machine learning in health care holds great promise for improving care. Indeed, our own team is collaborating with experts in machine learning and statistical modeling to bu...
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    Researchers’ Ethical Concerns About Using Adaptive Deep Brain Stimulation for Enhancement.Kristin Kostick-Quenet, Lavina Kalwani, Barbara Koenig, Laura Torgerson, Clarissa Sanchez, Katrina Munoz, Rebecca L. Hsu, Demetrio Sierra-Mercado, Jill Oliver Robinson, Simon Outram, Stacey Pereira, Amy McGuire, Peter Zuk & Gabriel Lazaro-Munoz - 2022 - Frontiers in Human Neuroscience 16.
    The capacity of next-generation closed-loop or adaptive deep brain stimulation devices to read and write shows great potential to effectively manage movement, seizure, and psychiatric disorders, and also raises the possibility of using aDBS to electively modulate mood, cognition, and prosociality. What separates aDBS from most neurotechnologies currently used for enhancement is that aDBS remains an invasive, surgically-implanted technology with a risk-benefit ratio significantly different when applied to diseased versus non-diseased individuals. Despite a large discourse about the ethics of enhancement, (...)
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    Capacities and Limitations of Using Polygenic Risk Scores for Reproductive Decision Making.Gabriel Lázaro-Muñoz, Stacey Pereira, Meghna Mukherjee, Kristin Marie Kostick-Quenet, Shai Carmi, Todd Lencz & Dorit Barlevy - 2022 - American Journal of Bioethics 22 (2):42-45.
    In their article “Implementing Expanded Prenatal Genetic Testing: Should Parents Have Access to Any and All Fetal Genetic Information?” Bayefsky and Berkman briefly mention that: “[s]ome are...
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