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<p>In a recent article in this journal, Baron (<CitationRef CitationID="CR1">2025</CitationRef>) argues that we can appropriately trust unexplainable artificial intelligence (AI) systems, so explainability is <i>not</i> necessary for AI’s trustworthiness. In this commentary, I argue that Baron is wrong. I first offer a positive argument for the claim that explainability <i>is</i> necessary for trustworthiness. Drawing on this argument, I then show that Baron’s argument for thinking otherwise fails.</p>

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Explainability Is Necessary for AI’s Trustworthiness

  • 期刊论文

  • 发表日期：

    2025年2月5日

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  • Ning Fan

摘要

In a recent article in this journal, Baron (2025) argues that we can appropriately trust unexplainable artificial intelligence (AI) systems, so explainability is not necessary for AI’s trustworthiness. In this commentary, I argue that Baron is wrong. I first offer a positive argument for the claim that explainability is necessary for trustworthiness. Drawing on this argument, I then show that Baron’s argument for thinking otherwise fails.