Summary of On the Reliability Of Large Language Models to Misinformed and Demographically-informed Prompts, by Toluwani Aremu et al.
On the Reliability of Large Language Models to Misinformed and Demographically-Informed Prompts
by Toluwani Aremu, Oluwakemi Akinwehinmi, Chukwuemeka Nwagu, Syed Ishtiaque Ahmed, Rita Orji, Pedro Arnau Del Amo, Abdulmotaleb El Saddik
First submitted to arxiv on: 6 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Human-Computer Interaction (cs.HC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research investigates the performance of Large Language Model (LLM)-backed chatbots in addressing misinformed prompts and questions related to Climate Change and Mental Health. The study combines quantitative and qualitative methods to assess the chatbots’ ability to discern veracity, adhere to facts, and detect bias or misinformation in their responses. The results show that these chatbots can accurately answer close-ended True/False questions, but domain experts raise concerns about privacy, ethics, and directing users to professional services. While these chatbots hold promise, their deployment requires careful consideration, ethical oversight, and refinement to ensure they augment human expertise rather than replace it. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study looks at how well chatbots that use Large Language Models do when trying to answer questions and respond to prompts about Climate Change and Mental Health. The researchers used a mix of methods to check if the chatbots can tell what’s true or false, stick to facts, and avoid spreading misinformation. They found that these chatbots are good at answering simple yes/no questions, but experts think they need more work on privacy, ethics, and pointing people towards professionals when needed. Overall, this study shows that chatbots have potential, but we need to be careful about how we use them. |
Keywords
» Artificial intelligence » Large language model
