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CEUR-WS.org/Vol-3803 - Workshop "Multimodal, Affective and Interactive eXplainable Artificial Intelligence" (MAI-XAI 24)

Vol-3803
urn:nbn:de:0074-3803-3

Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

MAI-XAI24 2024
Multimodal, Affective and Interactive eXplainable AI 2024

Proceedings of the First Multimodal, Affective and Interactive eXplainable AI Workshop (MAI-XAI24 2024)
co-located with 27th European Conference On Artificial Intelligence 19-24 October 2024 (ECAI 2024)

Santiago de Compostela, Spain, October 19, 2024.

Edited by

Jose M. Alonso-Moral *
Zach Anthis
Rafael Berlanga *
Alejandro Catalá *
Philipp Cimiano **
Peter Flach *
Eyke Hüllermeier
Tim Miller *
Oana Mitruț **
Dimitry Mindlin Gabriela Moise *
Alin Moldoveanu
Florica Moldoveanu
Kacper Sokol
Aitor Soroa *****

* Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Spain
** Neapolis University Paphos, Cyprus
*** Universitat Jaume I (UJI), Spain
**** Bielefeld University, Faculty of Technology, Center for Cognitive Interaction Technology (CITEC), 33615 Bielefeld, Germany
***** University of Bristol, UK
****** LMU Munich, Germany
******* University of Queensland, Australia
******** National University of Science and Technology POLITEHNICA of Bucharest, Romania
********* Petroleum-Gas University of Ploiesti, Romania
********** ETH Zurich, Switzerland
*********** HiTZ Center -- Ixa, University of the Basque Country UPV/EHU, Spain

Table of Contents

Preface

An approach to Evaluative AI through Large Language Models 1-15
Ermellino Andrea, Lorenzo Malandri, Fabio Marcorio, Navid Nobani, Antonio Serino
ASCODI: An XAI-based interactive reasoning support system for justifiable medical diagnosing 16-32
Dominik Battefeld, Felix Liedeker, Philipp Cimiano, Stefan Kopp
DISCO: DISCovering Overfittings as Causal Rules for Text Classification Models 33-48
Zijian Zhang, Vinay Setty, Yumeng Wang, Avishek Anand
Explainable Artificial Intelligence: An Overview on Hybrid Models 49-60
Gabriel Quesada Álvarez, María José del Jesus Díaz, Pedro González García
Towards AI-mediated Meme Generation for Misinformation Correction Explanation 61-76
Filipe Altoe, Gregoire Burel, Sergio Miguel Gonçalves Pinto, Harith Alani, H. Sofia Pinto
Towards Automated Human-Centered Recommendation of Explainable AI Solutions 77-97
Nils Ole Breuer
What to Explain and How? The Challenges and Future of Using Large Language Models to Generate Explanations for Lawyers in Autonomous Car Accidents 98-113
Yifan Xu, Xiao Zhan, Hazel Taylor
From Feature Importance to Natural Language Explanations Using LLMs with RAG 114-132
Sule Tekkesinoglu, Lars Kunze
EmoGraphArt: A Knowledge Graph for Representing and Explaining Emotions in Abstract Paintings 133-142
Rafael Berlanga, Dolores María Llidó, Maria José Aramburu

2024-10-10: submitted by Dimitry Mindlin, metadata incl. bibliographic data published under Creative Commons CC0
2024-10-25: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|