Vol-2681
urn:nbn:de:0074-2681-4

Copyright © 2019 for the individual papers by the papers' authors. Copyright © 2020 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).

XAILA 2019
EXplainable AI in Law 2019

Proceedings of the 2nd EXplainable AI in Law Workshop (XAILA 2019)
co-located with 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019)

Madrid, Spain, December 11, 2019.

Edited by

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

* Jagiellonian University, Poland
** Tilburg University, The Netherlands
*** Universidade do Minho, Portugal

Table of Contents

Extended Preface
Michał Araszkiewicz, Grzegorz J. Nalepa, Martin Atzmueller, Paulo Novais

The Difference between Explainable and Explaining: Requirements and Challenges under the GDPR
Francesco Sovrano, Fabio Vitali, Monica Palmirani
Building Trust to AI Systems Through Explainability. Technical and legal perspectives
Grzegorz J. Nalepa, Michal Araszkiewicz, Slawomir Nowaczyk, Szymon Bobek
Automatic Generation of Explanations to Prevent Privacy Violations
Ramon Ruiz-Dolz, Jose Alemany, Stella Heras, Ana Garcia-Fornes
Consequences of Unexplainable Machine Learning for the Notions of a Trusted Doctor and Patient Autonomy
Michal Klincewicz, Lily Frank

2020-09-22: submitted by Grzegorz J. Nalepa, metadata incl. bibliographic data published under Creative Commons CC0
2020-09-23: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|