World Conference on eXplainable Artificial Intelligence: July Przemysław Biecek 3 4 Slawomir Nowaczyk 1 4 Gitta Kutyniok 4 Luca Longo 0 4 Artificial Intelligence and Cognitive Load Research Lab Halmstad University Technological University Dublin Warsaw University of Technology Riccardo Guidotti, University of Pisa • Sebastian Lapuschkin, Fraunhofer Heinrich Hertz Institute • Mehmet Kurt, University of Washington • Tuwe Löfström, Jönköping University • Grégoire Montavon, Charité Berlin University of Medicine • Jörg Schlötterer, Marburg University • Christin Seifert, Marburg University • Gunnar Stevens, University of Siegen • Zita Vale, Polytechnic of Porto , USA 2025 0 9 11

The 3rd World Conference on eXplainable Artificial Intelligence (xAI-2025) was held from Wednesday, 9th to Friday, 11th of July 2025. On the second and third day of the conference, we had the pleasure of hosting the Late-breaking work, Demos and the Doctoral Consortium tracks. The Late-breaking work track provided a unique opportunity to share valuable ideas, elicit helpful feedback on early-stage work, and foster discussions and collaborations among colleagues. Late-breaking results are research-in-progress that contain original and unpublished accounts of innovative research ideas, preliminary results, industry showcases, and system prototypes, addressing eXplainable Artificial Intelligence (XAI) theory and practice. In addition, it included recently started research projects or syntheses. Overall, 32 Late-breaking manuscripts were accepted and presented via posters.

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exchange of ideas and fostered a supportive and intellectually stimulating environment. This way, the DC provided a mechanism to network and build collaborations with other community members and explore career pathways available after completing their PhD degree. Overall, 14 doctoral consortium proposals were accepted and discussed at the conference. Acknowledgments The xAI-20251 organisation and the chairs express their gratitude to committee members of the Late-breaking Work, Demos and Doctoral Consortium tracks that helped review submissions to each of these under a single-blind peer-review process.

Late-breaking work and demos committee: • Suzana Alpsancar, Paderborn University • Weiru Liu, University of Bristol • Alberto Termine, Dalle Molle Institute for Artificial Intelligence Research • Nathalie Devillier, aivancity • Rebecca Eifler, LAAS-CNRS • Lenka Tětková, Technical University of Denmark • Marta Caro-Martínez, Universidad Complutense de Madrid • Henning Müller, HES-SO • Eduard Barbu, University of Tartu • Mark Towers, University of Southampton • Lorenz Linhardt, TU Berlin • Hubert Baniecki, University of Warsaw • Eduardo Paluzo-Hidalgo, Universidad Loyola Andalucía • Hanna Abi Akl, Data ScienceTech Institute • André Artelt, Bielefeld University Doctoral consortium committee: Doctoral consortium mentors: