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  1. Take five? A coherentist argument why medical AI does not require a new ethical principle.Seppe Segers & Michiel De Proost - forthcoming - Theoretical Medicine and Bioethics:1-14.
    With the growing application of machine learning models in medicine, principlist bioethics has been put forward as needing revision. This paper reflects on the dominant trope in AI ethics to include a new ‘principle of explicability’ alongside the traditional four principles of bioethics that make up the theory of principlism. It specifically suggests that these four principles are sufficient and challenges the relevance of explicability as a separate ethical principle by emphasizing the coherentist affinity of principlism. We argue that, through (...)
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  • We Have No Satisfactory Social Epistemology of AI-Based Science.Inkeri Koskinen - forthcoming - Social Epistemology.
    In the social epistemology of scientific knowledge, it is largely accepted that relationships of trust, not just reliance, are necessary in contemporary collaborative science characterised by relationships of opaque epistemic dependence. Such relationships of trust are taken to be possible only between agents who can be held accountable for their actions. But today, knowledge production in many fields makes use of AI applications that are epistemically opaque in an essential manner. This creates a problem for the social epistemology of scientific (...)
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