"The LLM fallacy describes a gap between perceived personal capability and actual unaided capability when people treat AI-assisted outputs as evidence of their own competence."
Kim, Yu, and Yi introduce the LLM fallacy as a cognitive attribution error arising in AI-assisted work. Their conceptual framework distinguishes successful production with an external system from the user's independent ability to produce the same result.
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