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Virual Oral Question and Answer
IEEE/ICACT20250223 Question.2
Questioner: taikung@gmail.com    2025-02-19 오후 8:06:21 		IEEE/ICACT20250223 Answer.2
Answer by Auhor alihussainnrana@gmail.com   2025-02-19 오후 8:06:21
Hello, You mention the interpretability gap in foundational models. Could you please tell me current approaches to dealing with this? The interpretability gap in foundational models is addressed through several approaches. Explainable AI (XAI) techniques, such as SHAP and LIME, help elucidate model decisions by highlighting influential features. Model-agnostic methods like counterfactual explanations illustrate how changes in input affect outputs. Additionally, integrating human-in-the-loop systems allows experts to validate and refine model interpretations, enhancing transparency and trust. Ongoing research focuses on developing more intuitive and accessible interpretation tools to bridge this gap effectively.

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