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  1. Transparency is Surveillance.C. Thi Nguyen - 2021 - Philosophy and Phenomenological Research 105 (2):331-361.
    In her BBC Reith Lectures on Trust, Onora O’Neill offers a short, but biting, criticism of transparency. People think that trust and transparency go together but in reality, says O'Neill, they are deeply opposed. Transparency forces people to conceal their actual reasons for action and invent different ones for public consumption. Transparency forces deception. I work out the details of her argument and worsen her conclusion. I focus on public transparency – that is, transparency to the public over expert domains. (...)
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  • 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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  • Trust and the Ethics of Health Care Institutions.Susan Dorr Goold - 2001 - Hastings Center Report 31 (6):26-33.
    Though trust is essential to relationships between people, including that between patient and clinician, its role in organizational ethics is largely unexplored. Nonetheless, trust is also ideally a part of the relationship between patient and health care institution, both because it is desirable in and of itself, and because it makes for better medical care.
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