| 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|