Vol-3768
urn:nbn:de:0074-3768-8

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).

ArgXAI 2024
Argumentation for eXplainable AI 2024

Proceedings of the 2nd International Workshop on Argumentation for eXplainable AI
co-located with the 10th International Conference on Computational Models of Argument (COMMA 2024)

Hagen, Germany, September 16, 2024.

Edited by

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

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

Table of Contents

Preface
1-2
Summary: There were 8 papers submitted for peer-review to this workshop. Out of these, 5 papers were accepted for this volume, 5 as regular papers and 0 as short paper.

Keynote

Argumentation-based Explanations: How to Benefit from Computational Argumentation in XAI
AnneMarie Borg

Session 1

Argumentative Interpretable Image Classification 3-15
Hamed Ayoobi, Nico Potyka, Francesca Toni
Human Compliance with Normative Principles in Argumentation: Effects of Naturalness Bias and Graphical Representation 16-28
Marija Petrovic, Predrag Teovanovic, Danka Puric, Bruno Yun, Caren Al Anaissy, Sébastien Konieczny, Srdjan Vesic

Session 2

Towards Deontic Explanations Through Dialogue 29-40
Kees van Berkel, Christian Strasser
A General Dialogue Framework for Logic-based Argumentation 41-55
Loan Ho, Stefan Schlobach
Applying Attribution Explanations in Truth-Discovery Quantitative Bipolar Argumentation Frameworks 56-66
Xiang Yin, Nico Potyka, Francesca Toni

Discussion

How can we strengthen applications of argumentative explainability?
Moderators: Antonio Rago, Timotheus Kampik

2024-09-09: submitted by Timotheus Kampik, Kristijonas Čyras, metadata incl. bibliographic data published under Creative Commons CC0
2024-09-28: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|