ArgXAI 2025
Argumentation for eXplainable AI 2025

Table of Contents

• Preface
  Summary: There were 8 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted for this volume, all as regular papers. In addition, the proceedings feature a brief write-up by the organisers, entitled "Can We Move Argumentative XAI into the Research & Innovation Mainstream?", of challenges in applied ArgXAI research, based on a discussion session from the previous edition of ArgXAI.

• Can We Move Argumentative XAI into the Research & Innovation Mainstream? 3-7
  Timotheus Kampik , Antonio Rago , Oana Cocarascu , Kristijonas Čyras
• Argumentation-based Explainable Recommender System with ARES 8-19
  Riccardo Felici , Emanuele De Angelis , Alessio Ferrato , Maurizio Proietti , Giuseppe Sansonetti , Francesca Toni
• On the Impact of Sparsification on Quantitative Argumentative Explanations in Neural Networks 20-35
  Daniel Peacock , Mansi , Nico Potyka , Francesca Toni , Xiang Yin
• Object-Centric Case-Based Reasoning via Argumentation 36-49
  Gabriel de Olim Gaul , Adam Gould , Avinash Kori , Francesca Toni
• Interpreting Preferred Semantics in Structured Bipolar Argumentation 50-62
  Michael Mueller , Srdjan Vesic , Bruno Yun
• Towards a Deeper Understanding: Effects of Domain Knowledge Integration for Conversational XAI 63-77
  Isabel Feustel , Carolin Schindler , Niklas Rach , Wolfgang Minker , Stefan Ultes
• PHAX: A Structured Argumentation Framework for User-Centered Explainable AI in Public Health and Biomedical Sciences 78-89
  Bahar İlgen , Akshat Dubey , Georges Hattab