Summary of If Eleanor Rigby Had Met Chatgpt: a Study on Loneliness in a Post-llm World, by Adrian De Wynter
If Eleanor Rigby Had Met ChatGPT: A Study on Loneliness in a Post-LLM World
by Adrian de Wynter
First submitted to arxiv on: 2 Dec 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 The paper explores the potential of large language models (LLMs) in mitigating loneliness, a significant global issue affecting mental and physical well-being. The authors argue that widespread LLMs like ChatGPT are not designed for this purpose and may actually exacerbate the problem. Through an analysis of user interactions with ChatGPT outside its marketed use as a task-oriented assistant, the study reveals that users frequently seek advice or validation in lonely dialogues, but the model often fails to respond appropriately in sensitive scenarios, such as suicidal ideation or trauma. The findings also highlight the risk of toxic content and radicalisation, particularly affecting women. The authors conclude with recommendations for research and industry to address loneliness. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Loneliness is a major problem that can affect anyone. It’s like having no friends or feeling left out. Scientists think that big language models, like ChatGPT, might be able to help people feel less lonely. But they’re worried because these models are not designed for this job and could make things worse instead. They looked at how people interacted with ChatGPT when they weren’t using it as an assistant. They found that many people used it to talk about their feelings or get advice, but the model didn’t always respond well in tough situations like suicidal thoughts or trauma. The study also showed that there was more mean language and a higher risk of radicalisation, especially for women. The scientists are worried and think we need to be careful with this technology so it doesn’t make things worse. |
