The EXplainable AI in Law (XAILA) Workshop 2019

XAILA webpage http://xaila.geist.re

The second edition of XAILA was Organized by: Grzegorz J. Nalepa, Martin Atzmueller, Michał Araszkiewicz, Paulo Novais
at the JURIX 2019 32nd International Conference on Legal Knowledge and Information Systems on the December 11, 2019, Madrid, Spain in ETSI Minas y Energía School (Universidad Politécnica de Madrid)

XAILA 2019 proceedings can be found at http://ceur-ws.org/Vol-2681

Location: The next building after registration, Room 27, 2nd floor

9:30- 9:45 XAILA Chairs - Workshop Opening
9:45-10:10 Francesco Sovrano, Fabio Vitali and Monica Palmirani: The difference between Explainable and Explaining: requirements and challenges under the GDPR
10:10-10:35 Grzegorz J. Nalepa, Michał Araszkiewicz, Slawomir Nowaczyk and Szymon Bobek: Building Trust to AI Systems Through Explainability. Technical and legal perspectives
10:35-11:00 Break

11:00-11:45 Invited talk: María Jesús González-Espejo, Instituto de Innovacion Legal: Drivers for Adopting Legal AI
11:45-12:10 Oana Ichim: Counterintuitive reasoning as non-functional design in the field of human rights adjudication
12:10-12:35 Ramon Ruiz-Dolz, José Alemany, Stella Heras and Ana Garcia-Fornes: Automatic Generation of Explanations to Prevent Privacy Violations
12:35-13 00 Michal Klincewicz and Lily Frank: Emerging ethical and legal issues in healthcare machine learning
13:00 Lunch

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

Humanized AI emphasizes transparency and explainability in AI systems. These perspectives have an important ethical dimension, that is most often analyzed by philosophers. However, in order for it to be fruitful for AI engineers, it has to be properly focused. The intersection of Law and AI that makes it possible, as it provides a conceptual framework for ethical concepts and values in AI systems. A significant part of AI and Law research during the last two decades was devoted to operationalization of legal thinking with values. These results may now be reconsidered in a broader context, concerning the development of HAI systems and their social impact. It is a timely issue for the AI and Law community.

Humanized AI (HAI) includes important perspectives in AI systems, including transparency and explainability (XAI). Another one is the affective computing paradigm. These perspectives have an important ethical dimension. While ethical discussion is conducted by many philosophers, in order for it to be fruitful for engineers in AI, it has to be properly focused with specific concepts and operationalized. We believe, that it is the intersection of Law and AI that makes such an endeavor possible. Together, this lays foundations and provides a conceptual framework for ethical concepts and values in AI systems. Therefore, when discussing ethical consequences and considerations of transparent and explainable AI systems, including affective systems, we should focus on the legal conceptual framework. A significant part of AI and Law research during the last two decades was devoted to operationalization of legal thinking with values. These results may now be reconsidered in a broader context, concerning the development of XAI systems and their social impact. As such it is a very timely issue for the AI and Law community. Our objective is to bring people from AI interested in XAI/HAI topics (possibly with broader background than just engineering) and create an ample space for discussion with people from the field of legal scholarship and/or legal practice. As many members of the AI and Law community join both perspectives, the JURIX conference should be assessed as perfect venue for the workshop. Together we would like to address some questions like:

• the notions of transparency, interpretability and explainability in XAI
• non-functional design choices for explainable and transparent AI systems
• legal consequences of black-box AI systems
• legal criteria and requirements for explainable and transparent AI systems
• possible applications of XAI systems in the area of legal policy deliberation, legal practice, teaching and research
• ethical and legal implications of the use of AI systems in different spheres of societal life
• the notion of right to explanation
• relation of XAI and argumentation technologies
• XAI models, approaches and architectures
• XAI and declarative domain knowledge
• risk-based approach to analysis of AI systems and the influence of XAI on risk assessment
• incorporation of ethical values into AI systems & its legal interpretation and consequences
• XAI, privacy and data protection
• possible legal aspects and consequences of affective systems
• XAI, certification and compliance

Martin Atzmueller, Tilburg University, The Netherlands
Michal Araszkiewicz, Jagiellonian University, Poland
Kevin Ashley, University of Pittsburgh, USA
Szymon Bobek, AGH University, Poland
Jörg Cassens, University of Hildesheim, Germany
David Camacho, Universidad Autonoma de Madrid, Spain
Pompeu Casanovas, Universitat Autonoma de Barcelona, Spain
Teresa Moreira, University of Minho Braga, Portugal
Paulo Novais, University of Minho Braga, Portugal
Grzegorz J. Nalepa, AGH University, Jagiellonian University, Poland
Tiago Oliveira, National Institute of Informatics, Japan
Martijn von Otterlo, Tilburg University, The Netherlands
Adrian Paschke, Freie Universität Berlin, Germany
Monica Palmirani, Università di Bologna, Italy
Juan Pavón Universidad Complutense de Madrid, Spain
Radim Polčák, Masaryk University, Czech Republic
Marie Postma, Tilburg University, The Netherlands
Ken Satoh, National Institute of Informatics, Japan
Erich Schweighofer, University of Vienna, Austria
Michal Valco, Constantine the Philosopher University in Nitra, Slovakia
Tomasz Żurek, Maria Curie-Skłodowska University of Lublin, Poland

Submission: 25.11.2019
Notification: 01.12.2019
Corrected papers: 06.12.2019
Workshop: 11.12.2019

Please submit papers using the dedicated Easychair installation https://easychair.org/conferences/?conf=xaila2019 We are accepting short papers – 5 pages with references, and long papers – 10 pages. We are encouraging both original research papers, as well position papers. All submissions should be formatted using the styles and guidelines in the IOS Press Instructions for Authors http://www.iospress.nl/service/authors/latex-and-word-tools-for-book-authors Workshop proceedings will be made available by CEUR-WS. A post workshop journal publication is considered.

XAILA 2019 proceedings can be found at http://ceur-ws.org/Vol-2681