Trust, Explainability and AI

Philosophy and Technology 38 (4):1-23 (2025)
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Abstract

There has been a surge of interest in explainable artificial intelligence (XAI). It is commonly claimed that explainability is necessary for trust in AI, and that this is why we need it. In this paper, I argue that for some notions of trust it is plausible that explainability is indeed a necessary condition. But that these kinds of trust are not appropriate for AI. For notions of trust that are appropriate for AI, explainability is not a necessary condition. I thus conclude that explainability is not necessary for trust in AI that matters.

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Sam Baron
University of Melbourne

Citations of this work

Explainability Is Necessary for AI’s Trustworthiness.Ning Fan - 2025 - Philosophy and Technology 38 (1):1-5.

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References found in this work

Trust and antitrust.Annette Baier - 1986 - Ethics 96 (2):231-260.
Understanding from Machine Learning Models.Emily Sullivan - 2022 - British Journal for the Philosophy of Science 73 (1):109-133.
Trust as an unquestioning attitude.C. Thi Nguyen - 2022 - Oxford Studies in Epistemology 7:214-244.
Transparency in Complex Computational Systems.Kathleen A. Creel - 2020 - Philosophy of Science 87 (4):568-589.

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