Simion and Kelp on trustworthy AI

Carter, J. A. (2023) Simion and Kelp on trustworthy AI. Asian Journal of Philosophy, 2(1), 18. (doi: 10.1007/s44204-023-00067-1)

Abstract

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.

• Item Type: Articles
• Additional Information: The author is grateful to the Arts and Humanities Research Council (Grant No. AH/W008424/1) for funding this research as part of the AHRC Digital Knowledge project (2022-2025).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Carter, Professor J Adam
• Authors: Carter, J. A.
• Subjects: B Philosophy. Psychology. Religion > B Philosophy (General)
• College/School: College of Arts & Humanities > School of Humanities > Philosophy
• Journal Name: Asian Journal of Philosophy
• Publisher: Springer
• ISSN: 2731-4642
• ISSN (Online): 2731-4642
• Published Online: 02 May 2023
• Copyright Holders: Copyright © 2023 The Author
• First Published: First published in Asian Journal of Philosophy 2(1): 18
• Publisher Policy: Reproduced under a Creative Commons License