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  1. Engineering Trustworthiness in the Online Environment.Hugh Desmond - 2023 - In Mark Alfano & David Collins (eds.), The Moral Psychology of Trust. Lexington Books. pp. 215-237.
    Algorithm engineering is sometimes portrayed as a new 21st century return of manipulative social engineering. Yet algorithms are necessary tools for individuals to navigate online platforms. Algorithms are like a sensory apparatus through which we perceive online platforms: this is also why individuals can be subtly but pervasively manipulated by biased algorithms. How can we better understand the nature of algorithm engineering and its proper function? In this chapter I argue that algorithm engineering can be best conceptualized as a type (...)
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  • Clinical equipoise: Why still the gold standard for randomized clinical trials?Charlemagne Asonganyi Folefac & Hugh Desmond - 2024 - Clinical Ethics 19 (1):1-11.
    The principle of clinical equipoise has been variously characterized by ethicists and clinicians as fundamentally flawed, a myth, and even a moral balm. Yet, the principle continues to be treated as the de facto gold standard for conducting randomized control trials in an ethical manner. Why do we hold on to clinical equipoise, despite its shortcomings being widely known and well-advertised? This paper reviews the most important arguments criticizing clinical equipoise as well as what the most prominent proposed alternatives are. (...)
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  • Concept of ethical preparedness: benefits for clinical laboratory scientists.Marta Szabat - 2024 - Journal of Medical Ethics 50 (8):527-527.
    The concept of ethical preparedness (EP), defined as a set of practices in genomic medicine aimed not only at efficiently managing sensitive issues in the laboratory but also at ensuring adherence to ethical principles,1 has potential benefits for clinical laboratory scientists, contingent on three key conditions. First, fostering cooperation and mutual support between commercial and non-commercial laboratories in cases involving moral dilemmas or the uncertain nature of variants identified in the laboratory is crucial for establishing the best practices in genomic (...)
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