| Vol-3209 urn:nbn:de:0074-3209-8 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 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).

# ArgXAI-22
Argumentation for eXplainable AI

### 1st International Workshop on Argumentation for eXplainable AI
co-located with 9th International Conference on Computational Models of Argument (COMMA 2022)

### Cardiff, Wales, September 12, 2022.

Edited by

### Kristijonas Čyras *
Timotheus Kampik **
Oana Cocarascu ***
Antonio Rago ****

* Ericsson Research, Santa Clara, CA, United States
** Umeå University & SAP Signavio, Umeå, Sweden
*** King's College London, London, United Kingdom
**** Imperial College London, London, United Kingdom

## 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

2022-09-09: submitted by Kristijonas Čyras, metadata incl. bibliographic data published under Creative Commons CC0
2022-09-11: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|