EXCD-ECAI25: Evaluating Explainable AI and Complex Decision-Making Workshop at ECAI

While explainable artificial intelligence (XAI) has become massively popular and impactful over the last years and has become an integral part of all major AI venues, progress in the field is, to some degree, still hindered by a lack of agreed-onevaluation methods and metrics. Many articles present only anecdotal evidence, and the large variation in explanation techniques and application domains makes it challenging to define, quantify, and compare the relevant performance criteria for XAI. This leads to alack of standardized baselines and established state-of-the-art, making the contributions of newly proposed XAI methods difficult to evaluate. The discussion on how to evaluate explainability and interpretability, whether through user studies or with computational proxy measures, is ongoing.

The event aims to explore a range of themes, including the following: explainable artificial intelligence, xai evaluation and xai benchmarks.