The Good, the Bad, and the Ugly: The Role of AI Quality Disclosure in Lie Detection
Bhattacharya, Haimanti, Dugar, Subhasish, Hazra, Sanchaita, Majumder, Bodhisattwa Prasad
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Oct-30-2024
- Country:
- Europe (0.92)
- North America > United States
- Utah (0.14)
- Genre:
- Research Report
- Experimental Study (1.00)
- New Finding (1.00)
- Research Report
- Industry:
- Government > Regional Government
- Health & Medicine > Therapeutic Area (1.00)
- Information Technology > Services (0.67)
- Leisure & Entertainment (1.00)
- Media
- News (1.00)
- Television (0.92)
- Technology: