Vol-2680⫷ Vol-2681 ⫸Vol-2682
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 |