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  1. Why we should talk about institutional (dis)trustworthiness and medical machine learning.Michiel De Proost & Giorgia Pozzi - forthcoming - Medicine, Health Care and Philosophy:1-10.
    The principle of trust has been placed at the centre as an attitude for engaging with clinical machine learning systems. However, the notions of trust and distrust remain fiercely debated in the philosophical and ethical literature. In this article, we proceed on a structural level ex negativo as we aim to analyse the concept of “institutional distrustworthiness” to achieve a proper diagnosis of how we should not engage with medical machine learning. First, we begin with several examples that hint at (...)
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  • 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 - forthcoming - American Journal of Bioethics:1-13.
    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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  • Navigating the Landscape of Digital Twins in Medicine: A Relational Bioethical Inquiry.Brandon Ferlito, Michiel De Proost & Seppe Segers - 2024 - Asian Bioethics Review 16 (3):471-481.
    This perspective article explores the use of digital twins (DTs) in medicine, highlighting its capacity to simulate risks and personalize treatments while examining the emerging bioethical concerns. Central concerns include power dynamics, exclusion, and misrepresentation. We propose adopting a relational bioethical approach that advocates for a comprehensive assessment of DTs in medicine, extending beyond individual interactions to consider broader structural relations and varying levels of access to power. This can be achieved through two key relational recommendations: acknowledging the impact of (...)
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