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From the Gettier Machine to Justified True Output: A Three-Step Account of Rational Trust in Generative AI
As generative artificial intelligence (AI) settles into everyday practices of inquiry, an old epistemological question returns in a new guise: when does a proposition a user takes from an AI output become something the user knows, and when is it rational to trust it as such? This paper argues that t
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