Summary of The Good, the Bad, and the Ugly: the Role Of Ai Quality Disclosure in Lie Detection, by Haimanti Bhattacharya et al.
The Good, the Bad, and the Ugly: The Role of AI Quality Disclosure in Lie Detection
by Haimanti Bhattacharya, Subhasish Dugar, Sanchaita Hazra, Bodhisattwa Prasad Majumder
First submitted to arxiv on: 30 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
Summary difficulty | Written by | Summary |
---|---|---|
High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A machine learning paper investigates how low-quality AI advisors can spread misinformation and affect people’s ability to detect lies. The study mimics deceptive social media exchanges and finds that when participants rely on low-quality advisors without disclosures, their truth-detection rates decrease. In contrast, high-quality advisors enhance truth detection regardless of disclosure. The results suggest that people’s expectations about AI capabilities contribute to their reliance on opaque advisors. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper explores how AI advisors can spread misinformation and affect people’s ability to detect lies. Researchers created a game show-like experiment where participants evaluated transcripts from social media exchanges with objective truths. They found that when participants relied on low-quality advisors without disclosures, they couldn’t detect lies as well as when they used high-quality advisors or no advisor at all. |
Keywords
* Artificial intelligence * Machine learning