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arXiv:2407.08853cs.HC

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

Ishika Rathi, Sydney Taylor, Benjamin K. Bergen, Cameron R. Jones

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Abstract

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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DOI
Subjects
cs.HCHuman-Computer Interaction cs.CLComputation and Language

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Linked by 1 identifiable commenter in 1 comment across 1 thread, from Feb 2026 to Feb 2026. Found in 1 HN submission from Aug 2024 to Aug 2024. Open submission discussions.

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    • >Not even close. "Neural networks" in code are nothing like real neurons in real biology Hence the simplified. The weights encoding learning and inteconnectedness and nonlinear activation and distributed representation of knowledge is already an approximation, even if the human…

      coldteaView on HNParent context

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