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Vol-2891
urn:nbn:de:0074-2891-8
Copyright © 2021 for
the individual papers by the papers' authors.
Copyright © 2021 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).
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XAILA 2020
EXplainable and Responsible AI in Law 2020
Proceedings of the 3rd EXplainable AI in Law Workshop (XAILA 2020)
co-located with 33rd International Conference on Legal Knowledge and Information Systems (JURIX 2020)
Prague, Czech Republic, December 9th, 2020.
Edited by
Grzegorz J. Nalepa *
Michał Araszkiewicz *
Martin Atzmueller **
Bart Verheij ***
Szymon Bobek *
*
Jagiellonian University, Poland
**
Osnabrück University , Germany
***
University in Groningen, The Netherlands
Table of Contents
- Preface
- Towards Grad-CAM Based Explainability in a Legal Text Processing Pipeline
Łukasz Górski, Shashishekar Ramakrishna, Jędrzej M. Nowosielski
- Reasoning over Knowledge Graphs in an Intuitionistic Description Logic
Bernardo Alkmim, Edward Hermann Haeusler, Daniel Schwabe
- Precedent Comparison in the Precedent Model Formalism: Theory and Application to Legal
Cases
Heng Zheng, Davide Grossi, Bart Verheij
- Explaining Arguments at the Dutch National Police
Annemarie Borg, Floris Bex
- Towards Explainable, Compliant and Adaptive Human-Automation Interaction
Barbara Gallina, Görkem Pacaci, David Johnson, Steve McKeever, Andreas Hamfelt, Stefania Costantini, Pierangelo Dell'Acqua, Gloria-Cerasela Crisan
- Explanation in Hybrid, Two-Stage Models of Legal Prediction
Karl Branting
- Data-driven AI Development: An Integrated and Iterative Bias Mitigation Approach
Youssef Ennali, Tom van Engers
- Like Circles in the Water: Responsibility as a System-Level Function
Giovanni Sileno, Alexander Boer, Geoff Gordon, Bernhard Rieder
We offer a BibTeX file for citing papers of this workshop from LaTeX.
2021-06-23:: submitted by Szymon Bobek,
metadata incl. bibliographic data published under Creative Commons CC0
2021-07-01: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
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