Simion and Kelp on trustworthy AI

被引：0
|
作者：
Carter J.A. [1 ]
机构：
[1] Reader in Philosophy, University of Glasgow, 67-69 Oakfield Avenue, Glasgow
来源：
Asian Journal of Philosophy | / 2卷 / 1期
基金：
欧盟地平线“2020”; 英国艺术与人文研究理事会; 欧洲研究理事会;
关键词：
Artificial intelligence; Etiological functionalism; Trustworthiness; Trustworthy AI;
D O I：
10.1007/s44204-023-00067-1
中图分类号：
学科分类号：
摘要：
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 cost of overpredicting untrustworthiness. © 2023, The Author(s).
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