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GPT-4 is judged more human than humans in displaced and inverted Turing tests

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arxiv 2407.08853 v1 pith:ZACGNUR6 submitted 2024-07-11 cs.HC cs.CL

classification cs.HCcs.CL
keywords humandisplacedpeopleconversationsgpt-4judgedturingaccurate
verification ladder T0 review T1 audit T2 compute T3 formal
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Everyday AI detection requires differentiating between people and AI in informal, online conversations. In many cases, people will not interact directly with AI systems but instead read conversations between AI systems and other people. We measured how well people and large language models can discriminate using two modified versions of the Turing test: inverted and displaced. GPT-3.5, GPT-4, and displaced human adjudicators judged whether an agent was human or AI on the basis of a Turing test transcript. We found that both AI and displaced human judges were less accurate than interactive interrogators, with below chance accuracy overall. Moreover, all three judged the best-performing GPT-4 witness to be human more often than human witnesses. This suggests that both humans and current LLMs struggle to distinguish between the two when they are not actively interrogating the person, underscoring an urgent need for more accurate tools to detect AI in conversations.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. AI or Human? Understanding Perceptions of Embodied Robots with LLMs

    cs.RO 2025-07 conditional novelty 5.0 of 10

    In an embodied Turing Test with a physical robot, 34 participants could not identify AI versus human control above chance, and human operators were misidentified as AI far more often than the reverse.

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