MAI-XAI 2025
Multimodal, Affective and Interactive eXplainable AI 2025

Table of Contents

• Preface
  Summary: There were 18 papers submitted for peer-review to this workshop. Out of these, 9 papers were accepted for this volume, 8 as regular papers and 1 as short paper.

Regular Papers

• Evaluating the Reliability of Large Language Model-Generated Explanations in Dialogue-Based XAI
  Isabel Feustel, Niklas Rach, Wolfgang Minker, Stefan Ultes
• Influence of Prior and Task Generated Emotions on XAI Explanation Retention and Understanding
  Birte Richterl, Christian Schütze, Anna Aksonova, Julian Leichert, Britta Wrede
• Explaining Bayesian Networks Reasoning to the General Public: Insights from the User Study
  Nikolay Babakov, Ehud Reiter, Alberto Bugarín
• Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness
  Juliett Suárez-Ferreira, Marija Slavkovik, Jorge Casillas
• Adaptive XAI in High Stakes Environments: Modeling Swift Trust with Multimodal Feedback in Human AI Teams
  Nishani Fernando, Bahareh Nakisa, Adnan Ahmad, Mohammad Naim Rastgoo
• Unimodal vs Multimodal Coupling in Emotion Recognition: An Explainable Framework using Physiological States and Transitions
  Anubhav, Kantaro Fujiwara
• Exploring Structural Brain Connectivity in Term and Preterm Infants with Explainable AI and Fuzzy Logic
  Katherine Birch, Alberto Durán-López, Daniel Bolaños-Martinez, Chandresh Pravin, Maria Bermudez-Edo, Roman Bauer, Suparna De
• On Modifying the Perception of a Neural Network
  Manuel de Sousa Ribeiro, João Leite

Short Papers

• XAI in Medical Image Report Generation: Unlocking Stress Testing as a Responsible AI Practice for Multimodal Models
  Flávia Carvalhido, Henrique Lopes Cardoso, Vitor Cerqueira, Carlos Soares