Majszak, Mason and Sartori, Lorenzo (2026) AI, Experts, and Epistemic Authority. In: UNSPECIFIED.
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Abstract
In a recent contribution, Boisseau (2026) argues against a popular analogy between artificial intelligence (AI) and human experts. We start by clarifying that the analogy does not aim to establish that AI is an expert, but rather that AI can be a potential source of epistemic authority and trust. Once this is clarified, we examine Boisseau’s objections against the AI-expert analogy and demonstrate that they are unsuccessful. Finally, we contend that AI should be seen as an interestingly novel case where the categories “scientific instrument” and “expert” are not necessarily mutually exclusive.
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| Item Type: | Conference or Workshop Item (UNSPECIFIED) | |||||||||
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| Keywords: | Expertise; Artificial Intelligence (AI); Epistemic Authority; Trust; Peer-Disagreement | |||||||||
| Subjects: | Specific Sciences > Artificial Intelligence Specific Sciences > Artificial Intelligence > Machine Learning General Issues > Social Epistemology of Science General Issues > Technology |
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| Depositing User: | Dr. Mason Majszak | |||||||||
| Date Deposited: | 08 Jun 2026 18:45 | |||||||||
| Last Modified: | 08 Jun 2026 18:45 | |||||||||
| Item ID: | 29998 | |||||||||
| Subjects: | Specific Sciences > Artificial Intelligence Specific Sciences > Artificial Intelligence > Machine Learning General Issues > Social Epistemology of Science General Issues > Technology |
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| Date: | 27 May 2026 | |||||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/29998 |
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