The 2nd World Conference on eXplainable Artificial Intelligence (xAI-2024) was held from Wednesday, 17th to Friday, 19th of July 2024. 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 Late-breaking results are research-in-progress that contain original and unpublished accounts of innovative research ideas, preliminary results, industry showcases, and system prototypes, addressing eXplainable Artificial Intelligence (XAI)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, 33 Late-breaking manuscripts were accepted and presented via posters.
third of which consisted of expert lectures on research design followed by hands-on exercises. Eventually, 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, 18 doctoral consortium proposals were accepted and discussed at the conference. Acknowledgments The xAI-2024 organisation1 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 • Hanna Abi Akl, Data ScienceTech Institute • André Artelt, Bielefeld University • Andrea Seveso, Università degli Studi Milano-Bicocca • Andrea Visentin, University College Cork • Bach Van-Nguyen, Marburg University • Björn-Hergen Laabs, University of Lübeck • Christian Geißler, TU-Berlin • Damiano Verda, Rulex Inc. • Dawid Rymarczyk, Jagiellonian University • Domenico Furno, Università degli Studi di Salerno • Eduard Barbu, Institute of Computer Science,Tartu • Eduardo Paluzo-Hidalgo, Universidad Loyola Andalucía • Erman Acar, University of Amsterdam • F. Amílcar Cardoso, University of Coimbra • Frederik Pahde, Fraunhofer Heinrich Hertz Institute • Henning Müller, University of Geneva • Hubert Baniecki, University of Warsaw • Huimin Dong, Sun Yat-sen University • Johanna Vielhaben, Fraunhofer HHI • Julia Herbinger, Ludwig-Maximilians-Universität München • Leander Weber, Fraunhofer Heinrich-Hertz-Institut • Lorenz Linhardt, Technische Universität Berlin • Lorenzo Famiglini, University of Milano-Bicocca • Maike Schwammberger, Karlsruhe Institute of Technology • Marco Podda, University of Pisa • Marta Caro-Martínez, Universidad Complutense de Madrid • Mengnan Du, New Jersey Institute of Technology • Monica Palmirani, University of Bologna • Quynh Phuong-Le, Jeonbuk National University • Sheikh Rabiul Islam, Rutgers University • Shreyasi Pathak, University of Twente • Stephan Scheele, University of Bamberg • Tobias Matzner, Paderborn University • Verena Klös, Technische Universität Dresden • Xiaowei Liu, Hunan instiute of engineering • Yazan Mualla, Université de technologie de Belfort Montbéliard Doctoral Consortium committee & mentors • Omran Ayoub, Scuola Universitaria Professionale della Svizzera Italiana • Felix Biessmann, Berlin University of Applied Sciences • Duarte Folgado, Fraunhofer AICOS • Johannes Fürnkranz, Johannes Kepler University Linz • Riccardo Guidotti, University of Pisa • Andreas Holzinger, Human Centered AI • Gjergji Kasneci, TU Munich • Luca Longo, Technological University Dublin • Tuwe Löfström, Jönköping University • Fabio Mercorio, University of Milano Bicocca • Grégoire Montavon, Freie Universität Berlin • Lia Morra, Politecnico di Torino • Nicolas Papadakis, CNRS • Enea Parimbelli, University of Pavia • Marco Podda, University of Pisa • Maria Riveiro, Jönköping University • Udo Schlegel, University of Konstanz • Ute Schmid, University of Bamberg • Ruth Urner, York University • Giulia Vilone, Technological University Dublin • Stephan Wäldchen, Zuse Institut Berlin