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

October 30, 2024 ยท Declared Dead ยท + Add venue

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Authors Haimanti Bhattacharya, Subhasish Dugar, Sanchaita Hazra, Bodhisattwa Prasad Majumder arXiv ID 2410.23143 Category cs.CL: Computation & Language Cross-listed cs.AI, cs.CY, cs.HC, cs.LG Citations 0 Last Checked 6 months ago
Abstract
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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