Call for late-breaking work

The conference invites submissions of Late-Breaking Work presenting timely and emerging research that contributes to the theory and practice of eXplainable Artificial Intelligence. We welcome original and unpublished accounts of innovative research ideas, preliminary results, industry showcases, and system prototypes, including work that may not yet constitute a fully developed research contribution but offers promising insights to the XAI community. Submissions may address any aspect of XAI, including new explanation methods, human-centred and interactive XAI, explainable generative AI, model understanding and evaluation, trustworthy and responsible AI, multimodal and domain-specific explanations, and emerging applications of XAI. Articles introducing recently initiated research projects, reporting early-stage findings, or summarising project results are also welcome. The Late-Breaking Work track provides researchers and practitioners with an opportunity to share emerging work, receive valuable feedback, and stimulate discussion and collaboration around new ideas, challenges, and research directions in XAI.