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Kristin Marie Kostick-Quenet [3]Kristin M. Kostick-Quenet [2]
  1.  75
    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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  2.  44
    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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  3.  14
    Patient Consent and The Right to Notice and Explanation of AI Systems Used in Health Care.Meghan E. Hurley, Benjamin H. Lang, Kristin Marie Kostick-Quenet, Jared N. Smith & Jennifer Blumenthal-Barby - 2024 - American Journal of Bioethics 25 (3):102-114.
    Given the need for enforceable guardrails for artificial intelligence (AI) that protect the public and allow for innovation, the U.S. Government recently issued a Blueprint for an AI Bill of Rights which outlines five principles of safe AI design, use, and implementation. One in particular, the right to notice and explanation, requires accurately informing the public about the use of AI that impacts them in ways that are easy to understand. Yet, in the healthcare setting, it is unclear what goal (...)
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  4.  28
    Personalized Roadmaps for Returning Results From Digital Phenotyping.Kristin Marie Kostick-Quenet, John Herrington & Eric A. Storch - 2024 - American Journal of Bioethics 24 (2):102-105.
    While the intellectual challenge of digital phenotyping (DP) has evolved from data collection to more complex data analysis (Onnela 2021), core ethical considerations remain centered on patient pri...
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  5.  29
    A Call for Behavioral Science in Embedded Bioethics.Kristin M. Kostick-Quenet, Benjamin Lang, Natalie Dorfman & J. S. Blumenthal-Barby - 2022 - Perspectives in Biology and Medicine 65 (4):672-679.
    ABSTRACT:Bioethicists today are taking a greater role in the design and implementation of emerging technologies by "embedding" within the development teams and providing their direct guidance and recommendations. Ideally, these collaborations allow ethical considerations to be addressed in an active, iterative, and ongoing process through regular exchanges between ethicists and members of the technological development team. This article discusses a challenge to this embedded ethics approach—namely, that bioethical guidance, even if embraced by the development team in theory, is not easily (...)
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