ArgXAI-22
Argumentation for eXplainable AI

Table of Contents

• Preface
  Summary: There were 13 papers submitted for peer-review to this workshop. Out of these, 11 papers were accepted for this volume.

Session 1: Justifications, Dialogues, Dispute Trees

• Justifications Derived from Inconsistent Case Bases Using Authoritativeness
  Joeri Peters, Floris Bex, Henry Prakken
• Justification in Case-Based Reasoning
  Wijnand van Woerkom, Davide Grossi, Henry Prakken, Bart Verheij
• On Monotonicity of Dispute Trees as Explanations for Case-Based Reasoning with Abstract Argumentation
  Guilherme Paulino-Passos, Francesca Toni
• Dispute Trees as Explanations in Quantitative (Bipolar) Argumentation
  Kristijonas Čyras, Timotheus Kampik, Qingtao Weng
• Explaining Argument Acceptance in ADFs
  Tjitze Rienstra, Jesse Heyninck, Gabriele Kern-Isberner, Kenneth Skiba, Matthias Thimm

Session 2: ArgXAI & Machine Learning

• On the Tradeoff Between Correctness and Completeness in Argumentative Explainable AI
  Nico Potyka, Xiang Yin, Francesca Toni
• An XAI method for the Automatic Formation of an Abstract Argumentation Framework from a Neural Network and its Objective Evaluation
  Giulia Vilone, Luca Longo

Session 3: Applications

• Application Level Explanations for Argumentation-based Decision Making
  Nikolaos Spanoudakis, Antonis Kakas, Adamos Koumi
• Fostering Explainable Online Review Assessment Through Computational Argumentation
  Atefeh Keshavarzi Zafarghandi, Davide Ceolin
• Abstract Argumentation for Hybrid Intelligence Scenarios
  Loan Ho, Victor de Boer, M. Birna van Riemsdijk, Stefan Schlobach, Myrthe Tielman

Session 4: Causal Perspective

• Argumentation-based Causal and Counterfactual Reasoning
  Lars Bengel, Lydia Blümel, Tjitze Rienstra, Matthias Thimm