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The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows

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学术前沿 6.5 分 — Identifies systematic misattribution problem when humans use AI assistance, important for understanding human-AI collaboration
原文: cs.CL updates on arXiv.org

评分 6.5 · 来源:cs.CL updates on arXiv.org · 发布于 2026-04-17

评分依据:Identifies systematic misattribution problem when humans use AI assistance, important for understanding human-AI collaboration

arXiv:2604.14807v1 Announce Type: cross Abstract: The rapid integration of large language models (LLMs) into everyday workflows has transformed how individuals perform cognitive tasks such as writing, programming, analysis, and multilingual communication. While prior research has focused on model reliability, hallucination, and user trust calibration, less attention has been given to how LLM usage reshapes users’ perceptions of their own capabilities.