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  1. In AI We Trust: Ethics, Artificial Intelligence, and Reliability.Mark Ryan - 2020 - Science and Engineering Ethics 26 (5):2749-2767.
    One of the main difficulties in assessing artificial intelligence (AI) is the tendency for people to anthropomorphise it. This becomes particularly problematic when we attach human moral activities to AI. For example, the European Commission’s High-level Expert Group on AI (HLEG) have adopted the position that we should establish a relationship of trust with AI and should cultivate trustworthy AI (HLEG AI Ethics guidelines for trustworthy AI, 2019, p. 35). Trust is one of the most important and defining activities in (...)
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  • High hopes for “Deep Medicine”? AI, economics, and the future of care.Robert Sparrow & Joshua Hatherley - 2020 - Hastings Center Report 50 (1):14-17.
    In Deep Medicine, Eric Topol argues that the development of artificial intelligence (AI) for healthcare will lead to a dramatic shift in the culture and practice of medicine. Topol claims that, rather than replacing physicians, AI could function alongside of them in order to allow them to devote more of their time to face-to-face patient care. Unfortunately, these high hopes for AI-enhanced medicine fail to appreciate a number of factors that, we believe, suggest a radically different picture for the future (...)
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  • AI4People—an ethical framework for a good AI society: opportunities, risks, principles, and recommendations.Luciano Floridi, Josh Cowls, Monica Beltrametti, Raja Chatila, Patrice Chazerand, Virginia Dignum, Christoph Luetge, Robert Madelin, Ugo Pagallo, Francesca Rossi, Burkhard Schafer, Peggy Valcke & Effy Vayena - 2018 - Minds and Machines 28 (4):689-707.
    This article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations—to assess, to develop, to incentivise, and to support good AI—which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other (...)
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  • (1 other version)Given Time: 1. Counterfeit Money.Jacques DERRIDA - 1992
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  • Can we trust robots?Mark Coeckelbergh - 2012 - Ethics and Information Technology 14 (1):53-60.
    Can we trust robots? Responding to the literature on trust and e-trust, this paper asks if the question of trust is applicable to robots, discusses different approaches to trust, and analyses some preconditions for trust. In the course of the paper a phenomenological-social approach to trust is articulated, which provides a way of thinking about trust that puts less emphasis on individual choice and control than the contractarian-individualist approach. In addition, the argument is made that while robots are neither human (...)
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  • (1 other version)Given Time: The Time of the King.Jacques Derrida & Peggy Kamuf - 1992 - Critical Inquiry 18 (2):161-187.
    One could accuse me here of making a big deal and a whole history out of words and gestures that remain very clear. When Madame de Mainternon says that the King takes her time, it is because she is glad to give it to him and takes pleasure from it: the King takes nothing from her and gives her as much as he takes. And when she says, “I give the rest to Saint-Cyr, to whom I would like to give (...)
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