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
"No code URL or promise found in abstract"
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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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