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arxiv: 2410.23143 · v2 · pith:MT5NJNA4new · submitted 2024-10-30 · 💻 cs.CL · cs.AI· cs.CY· cs.HC· cs.LG

The Good, the Bad, and the Ugly: The Role of AI Quality Disclosure in Lie Detection

classification 💻 cs.CL cs.AIcs.CYcs.HCcs.LG
keywords advisorslieslow-qualityparticipantsdetectiondisclosuredisclosureshelp
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We investigate how low-quality AI advisors, lacking quality disclosures, can help spread text-based lies while seeming to help people detect lies. Participants in our experiment discern truth from lies by evaluating transcripts from a game show that mimicked deceptive social media exchanges on topics with objective truths. We find that when relying on low-quality advisors without disclosures, participants' truth-detection rates fall below their own abilities, which recovered once the AI's true effectiveness was revealed. Conversely, high-quality advisor enhances truth detection, regardless of disclosure. We discover that participants' expectations about AI capabilities contribute to their undue reliance on opaque, low-quality advisors.

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