xaila:xaila2020 [GEIST Research Group]

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===== XAILA 2020 at JURIX2020 =====

 The main XAILA webpage is [[http://xaila.geist.re]]

XAILA is an interdisciplinary workshop on the intersection of AI and Law, focusing on the important issues of EXplainable and Responsible AI.

In 2020 we are having the 3rd edition of XAILA, organized by Grzegorz J. Nalepa, Michał Araszkiewicz, Bart Verheij, and Martin Atzmueller (Jagiellonian University, Poland; University of Groningen, The Netherlands; University of Osnabrueck, Germany) at the JURIX 2020. JURIX 2020 is the 33rd International Conference on Legal Knowledge and Information Systems organised by the Foundation for Legal Knowledge Based Systems (JURIX) since 1988. JURIX 2020 is co-hosted by the Institue of Law and Technology (Faculty of Law, Masaryk University, Brno) and the Knowledge-based Software Systems Group (Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University, Prague). 

==== Workshop Program ====
The workshop will take place on 09.12.2020 online using MSTeams.
More details will follow.

9:15-9:30 Workshop Opening by the XAILA2020 Chairs (Grzegorz J. Nalepa, Michał Araszkiewicz, Martin Atzmueller, Bart Verheij)

Session 1

9:30-10:00
Barbara Gallina, Görkem Pacaci, David Johnson, Steve McKeever, Andreas Hamfelt, Stefania Costantini, Pierangelo Dell'Acqua and Gloria-Cerasela Crisan: Towards Explainable, Compliant and Adaptive Human-Automation Interaction

10:00-10:30
Youssef Ennali and Tom van Engers:
Data-driven AI development: an integrated and iterative bias mitigation approach

10:30-11:00 coffee break

Session 2

11:00-12:00 INVITED TALK Philipp Hacker - AI and Discrimination: Legal Challenges and Technical Strategies

12:00-12:30
Heng Zheng, Davide Grossi and Bart Verheij:
Precedent Comparison in the Precedent Model Formalism: Theory and Application to Legal Cases

12:30-13:00
Bernardo Alkmim, Edward Hermann Haeusler and Daniel Schwabe:
Reasoning over Knowledge Graphs in an Intuitionistic Description Logic

13:00-14:00 lunch break

Session 3

14:00-15:00 INVITED TALK Reinoud Baker - Legal information systems in production

15:00-15:30
Annemarie Borg and Floris Bex:
Explaining Arguments at the Dutch National Police

15:30-16:00 coffee break

Session 4 and Roundtable discussion

16:00-16:30
Łukasz Górski, Shashishekar Ramakrishna and Jędrzej M. Nowosielski: Towards Grad-CAM Based Explainability in a Legal Text Processing Pipeline

16:30-17:00
Giovanni Sileno, Alexander Boer, Geoff Gordon and Bernhard Reader: Like Circles in the Water: Responsibility as a System-Level Function

17:00-17:30
Karl Branting: Explanation in Hybrid, Two-Stage Models of Legal Prediction

17:30-18:15 Roundtable discussion and closing 

==== Invited Speakers ====

{{:xaila:p_hacker.jpg?100 |}}
**Professor Dr. Philipp Hacker**, LL.M. (Yale), holds the Chair for Law and Ethics of the Digital Society at European University Viadrina in Frankfurt (Oder). He serves jointly at the Faculty of Law and at the European New School of Digital Studies (ENS). Before joining Viadrina, he was an AXA Postdoctoral Fellow at the Faculty of Law at Humboldt University of Berlin. Previous research stays include a Max Weber Fellowship at the European University Institute and an A.SK Fellowship at the WZB Berlin Social Science Center. His research focuses on law and technology as well as (behavioral) law and economics. In 2020, he received the Science Award of the German Foundation for Law and Computer Science. His most recent books include Regulating Blockchain. Techno-Social and Legal Challenges (Oxford University Press, 2019, co-edited with Ioannis Lianos, Georgios Dimitropoulos and Stefan Eich); Theories of Choice. The Social Science and the Law of Decision Making (Oxford University Press, forthcoming, co-edited with Stefan Grundmann); and Datenprivatrecht [Private Data Law] (Mohr Siebeck, 2020).

**Title of the talk** AI and Discrimination: Legal Challenges and Technical Strategies

**Abstract**
The talk will focus on the interaction between AI models and liability in the domain of non-discrimination. As is well-known, the output of AI models may exhibit bias toward legally protected groups. In the past, various fairness definitions have been developed to mitigate such discrimination. Against this background, the talk will first present a new model which allows AI developers to flexibly interpolate between different fairness definitions depending on the context of the model application. In the second step, however, the talk will inquire to what extent AI developers may risk liability under affirmative action doctrines if they seek to implement algorithmic fairness measures in their models.

{{:xaila:baker.jpg?100 |}}
**Reinoud Baker**

**Title** Legal information systems in production

**Abstract**
LexIQ is a Dutch legal tech startup using data science for legal information services. We have the vision that legal tech can serve citizens, governments and businesses, for instance by improved access to justice, efficient use of resources and enhanced compliance. This talk will address what we have learned in the past 4 years. What can be achieved with modern software and algorithms? How can we make innovative technologies available for legal professionals and even the wider public? Which challenges are we encountering?


==== Call for Papers ====
{{ :xaila:xaila2020cfp1.pdf |}}

==== Motivation for the workshop ====

In the last several years we have observed a growing interest in advanced AI systems achieving impressive task performance. However, there has also been an increased awareness of their complexity and challenging consequences of their possibly limited understandability to humans. In response, a number of research directions have been initiated. These include humanized or human-centered AI, as well as ethically aligned, ethically designed, or just ethical AI. In many of these ideas, the principal concept seems to be the explanatory capability of the AI system (XAI), e.g. via interpretable and explainable machine learning, inclusion of human background knowledge and adequate declarative knowledge, that could provide foundations not only for transparency and understandability, but also for a possible value alignment and human centricity, as the explanation is to be provided to humans.

Recently, the term responsible AI (RAI) has been coined as a step beyond XAI. Discussion of RAI has been again strongly influenced by the “ethical” perspective. However, as practitioners in our fields we are convinced, that the advancements of AI are way too fast, and the ethical perspective much too vague to offer conclusive and constructive results. We are convinced, that the concepts of responsibility, and accountability should be considered primarily from the legal perspective, also because the operation of AI-based systems poses actual challenges to rights and freedoms of individuals. In the field of law, these concepts should obtain some well-defined interpretation, and reasoning procedures based on them should be clarified. The introduction of AI systems into the public, as well as the legal domain brings many challenges that have to be addressed. The catalogue of these problems include, but is not limited to: (1) the type of liability adequate for the operation of AI (be it civil, administrative of criminal liability); (2) the (re)interpretation of classical legal concepts concerning the ascription of liability, such as causal link, fault or foreseeability and (3) the distribution of liability among the involved actors (AI developers, vendors, operators, customers etc.). As the notions relevant for the discussion of legal liability evolved on the basis of observation and evaluation of human behavior, they are not easily transferable to the new and disputable domain of liability related to the operation of artificial intelligent systems. The goal of the workshop is to cover and integrate these problems and questions, bridging XAI and RAI by integrating methodological AI, as well as the respective ethical and legal perspectives, also specifically with support of established concepts and methods regarding responsibility, and accountability.

==== Topics of interest ====

Our objective is to bring people from AI interested in XAI and RAI topics  and create an ample space for discussion with people from the field of legal scholarship and/or legal practice, and most importantly the vibrant AI&Law community. As many members of the AI and Law community join both perspectives, the JURIX conference is the 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, transparent, and responsible AI systems
  * criteria of legal responsibility discussed in the context of intelligent systems operation and the role of explainability in liability ascription
  * possible applications of XAI systems in the area of legal policy deliberation, legal practice, teaching and research
  * legal implications of the use of AI systems in different spheres of societal life
  * the notion of right to explanation
  *  relation of XAI and RAI to argumentation technologies
  * approaches and architectures for XAI and RAI in AI systems
  * XAI, RAI 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 (conceptual and theoretical issues)
  * XAI, certification and compliance

==== Workshop format ====
Workshop format: paper presentations + panel discussion, invited talk/s.

Intended audience are practitioners and theorists from both law and AI. 

==== Program Committee ====

List of members of the program committee (to be confirmed):\\
Martin Atzmueller, Osnabrueck University, Germany\\
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\\
Radim Polčák, Masaryk University, Czech Republic\\
Marie Postma, Tilburg University, The Netherlands\\
Ken Satoh, National Institute of Informatics, Japan\\
Jaromír Šavelka, Carnegie Mellon University, USA\\
Erich Schweighofer, University of Vienna, Austria\\
Michal Valco, Constantine the Philosopher University in Nitra, Slovakia\\
Tomasz Żurek, Maria Curie-Skłodowska University of Lublin, Poland\\

==== Important dates ====

Submission: 		//09.11.2020// <del>04.11.2020</del> <del>26.10.2020</del>\\
Notification:  		23.11.2020\\
Camera-ready: 	30.11.2020\\
Workshop:  		09.12.2020\\

==== Submission details ====

We accept regular/long papers up to 12pp.
We also welcome short and position papers of 6pp.
Please use the [[https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines|Springer LNCS format]].

A dedicated Easychair installation is provided at [[https://easychair.org/conferences/?conf=xaila2020]]

Workshop proceedings will be made available by CEUR-WS. A post workshop journal publication is considered.