Summary of Xai For All: Can Large Language Models Simplify Explainable Ai?, by Philip Mavrepis et al.
XAI for All: Can Large Language Models Simplify Explainable AI?
by Philip Mavrepis, Georgios Makridis, Georgios Fatouros, Vasileios Koukos, Maria Margarita Separdani, Dimosthenis Kyriazis
First submitted to arxiv on: 23 Jan 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: 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 presents “x-[plAIn]”, a new approach to Explainable Artificial Intelligence (XAI) that makes XAI methods more accessible to a wider audience, including non-experts. This is achieved through a custom Large Language Model (LLM), developed using ChatGPT Builder, which generates clear and concise summaries of various XAI methods tailored for different audiences. The model’s key feature is its ability to adapt explanations to match each audience group’s knowledge level and interests. The approach provides timely insights, facilitating the decision-making process by end users. Results from use-case studies show that the model effectively provides easy-to-understand, audience-specific explanations regardless of the XAI method used. This adaptability improves the accessibility of XAI, bridging the gap between complex AI technologies and their practical applications. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper makes Explainable Artificial Intelligence (XAI) more accessible to people who aren’t experts in the field. They created a special kind of language model that can explain different types of XAI methods in a way that’s easy for others to understand. The goal is to help people make better decisions by providing them with clear and concise explanations of how AI works. The results show that this approach is effective in making complex AI concepts easier to understand, which is important for getting these technologies into the hands of more people. |
Keywords
» Artificial intelligence » Language model » Large language model
