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  1. A Holistic, Multi-Level, and Integrative Ethical Approach to Developing Machine Learning-Driven Decision Aids.Anita Ho, Jad Brake, Amitabha Palmer & Charles E. Binkley - 2024 - American Journal of Bioethics 24 (9):110-113.
    The rapid progress and expanding development of machine learning-driven clinical decision support systems (ML_CDSS) have led to calls for involving “humans in the loop” in the design, development,...
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  • Limitations of Patient-Physician Co-Reasoning in AI-Driven Clinical Decision Support Systems.Kristin Kostick Quenet & Syed Shahzeb Ayaz - 2024 - American Journal of Bioethics 24 (9):97-99.
    Integrating artificial intelligence (AI) into healthcare can potentially revolutionize how clinical decisions are made. Advancements in AI-driven Clinical Decision Support Systems (AI_CDSS) are enh...
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  • What Are Humans Doing in the Loop? Co-Reasoning and Practical Judgment When Using Machine Learning-Driven Decision Aids.Sabine Salloch & Andreas Eriksen - 2024 - American Journal of Bioethics 24 (9):67-78.
    Within the ethical debate on Machine Learning-driven decision support systems (ML_CDSS), notions such as “human in the loop” or “meaningful human control” are often cited as being necessary for ethical legitimacy. In addition, ethical principles usually serve as the major point of reference in ethical guidance documents, stating that conflicts between principles need to be weighed and balanced against each other. Starting from a neo-Kantian viewpoint inspired by Onora O'Neill, this article makes a concrete suggestion of how to interpret the (...)
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