Vol-2381
urn:nbn:de:0074-2381-4

Copyright © 2019 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

XAILA 2018
EXplainable AI in Law

Proceedings of the EXplainable AI in Law Workshop (XAILA 2018)
co-located with the 31st International Conference on Legal Knowledge and Information Systems (JURIX 2018)

Groningen, The Netherlands, December 12th, 2018.

Edited by

Grzegorz J. Nalepa ,
Martin Atzmueller
Michał Araszkiewicz *
Paulo Novais **

* AGH University, Kraków, Poland
** Tilburg University, The Netherlands
*** Jagellonian University, Kraków, Poland
**** University of Minho, Portugal

Table of Contents

Preface

Session 1: Invited talk

Good AI and Law 1
Bart Verheij

Session 2: Regular paper presentations

Trust by Discrimination: Technology Specific Regulation & Explainable AI 2-8
Jakub Harašta
The Role of Normware in Trustworthy and Explainable AI 9-16
Giovanni Sileno, Alexander Boer, Tom van Engers
A Dialogical Framework for Disputed Issues in Legal Interpretation 17-20
Michał Araszkiewicz, Tomasz Żurek
Explainability of Formal Models of Argumentation Applied to Legal Domain 21-25
Michał Araszkiewicz, Grzegorz J. Nalepa
On Requirements and Design Criteria for Explainability in Legal AI 29-32
Martijn Van Otterlo, Martin Atzmueller
Ethical Problems and Legal Issues in Development and Usage Autonomous Adversaries in Cyber Domain 33-41
Muhammad Mudassar Yamin, Basel Katt
Utilizing iALC to Formalize the Brazilian OAB Exam 42-50
Bernardo Alkmim, Edward Hermann Haeusler, Alexandre Rademaker
Homologation of Autonomous Machines from a Legal Perspective 51-54
Veronika Žolnerčíková

2019-06-09: submitted by Grzegorz J. Nalepa, metadata incl. bibliographic data published under Creative Commons CC0
2019-06-17: published on CEUR-WS.org |valid HTML5|