View source for Interactive XAI using LLMs

{{StudentProjectTemplate
|Summary=XAI methods would benefit greatly from becoming more interactive: this project aims to explore the use of LLMs for this purpose
|TimeFrame=Fall 2025
|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.