The paper presents a new approach to make Explainable Artificial Intelligence (XAI) more accessible to a wider audience, including non-experts. The researchers developed a Large Language Model (LLM) using ChatGPT Builder that can generate clear summaries of various XAI methods, tailored for different audiences. The model can adapt explanations to match each audience group’s knowledge level and interests, providing timely insights to facilitate decision-making. The model has been effective in providing easy-to-understand explanations, regardless of the XAI method used. The results indicate a promising direction for LLMs in making advanced AI concepts more accessible.
Publication date: 25 Jan 2024
Project Page: Not provided
Paper: https://arxiv.org/pdf/2401.13110
