Interactive XAI using LLMs

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Title Interactive XAI using LLMs
Summary XAI methods would benefit greatly from becoming more interactive: this project aims to explore the use of LLMs for this purpose
Keywords
TimeFrame Fall 2025
References
Prerequisites
Author
Supervisor Slawomir Nowaczyk & TBD
Level Master
Status Open


Many XAI methods have been proposed. Several can, in principle, be used interactively. However, evaluating them is typically done through experiments with humans, which is expensive and slow.

In this thesis, we'd like to (as part of research project KEEPER) explore the use of LLMs to develop and evaluate interactive XAI methods.

We expect this thesis to result in a scientific paper.