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  1. Simion and Kelp on trustworthy AI.J. Adam Carter - unknown
    Simion and Kelp offer a prima facie very promising account of trustworthy AI. One benefit of the account is that it elegantly explains trustworthiness in the case of cancer diagnostic AIs, which involve the acquisition by the AI of a representational etiological function. In this brief note, I offer some reasons to think that their account cannot be extended — at least not straightforwardly — beyond such cases (i.e., to cases of AIs with non-representational etiological functions) without incurring the unwanted (...)
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  • Trustworthy artificial intelligence.Mona Simion & Christoph Kelp - 2023 - Asian Journal of Philosophy 2 (1):1-12.
    This paper develops an account of trustworthy AI. Its central idea is that whether AIs are trustworthy is a matter of whether they live up to their function-based obligations. We argue that this account serves to advance the literature in a couple of important ways. First, it serves to provide a rationale for why a range of properties that are widely assumed in the scientific literature, as well as in policy, to be required of trustworthy AI, such as safety, justice, (...)
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  • Can attempts to make schools more reliable render them less trustworthy?Atli Harðarson - forthcoming - Educational Philosophy and Theory.
    This paper has two aims. One is to draw a distinction between two types of trust. The other is to argue for its applicability in academic discourse on educational policies. One of the two types of trust is ethical trust that rests on beliefs about others’ ethical virtues. The other is institutional trust that typically depends on law enforcement and economic incentives. Ideas about a social order based primarily on institutional trust have haunted political thought since the time of Thomas (...)
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