Abstract
Baron claims that we can, given a sound inductive basis, appropriately trust unexplainable AI systems. Fan disagrees and claims that the opacity of these systems disqualifies them as appropriate objects of trust. In this response, I argue that Baron’s case for trusting unexplainable AI systems is stronger than Fan holds. Along the way, I suggest some implications for thinking about trusting AI systems.
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APA
Robertson, I. (2025, September 1). AI, Trust and Reliability. Philosophy and Technology. Springer Science and Business Media B.V. https://doi.org/10.1007/s13347-025-00924-2
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