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--- xaila:start [2019/01/18 10:56] – gjn
+++ xaila:start [2020/09/30 21:48] – 2020 gjn
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-====== The EXplainable AI in Law (XAILA) 2019 Workshop ======
+====== The EXplainable & Responsible AI in Law (XAILA) Workshop ======
-**XAILA webpage [[http://xaila.geist.re]]**
+**The main XAILA webpage is [[http://xaila.geist.re]]**
-**The second edition of XAILA** will be held on the [[https://icail2019-cyberjustice.com|International Conference on Artificial Intelligence and Law (ICAIL)]], June 17-21, 2019, Montréal (Qc.), Canada
+XAILA is an interdisciplinary workshop on the intersection of AI and Law, focusing on the important issues of EXplainable and Responsible AI.
-**Organized by:** Grzegorz J. Nalepa, Martin Atzmueller, Michał Araszkiewicz, Paulo Novais
+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 //[[https://jurix2020.law.muni.cz|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).
+See more information on the [[start#past editions of XAILA]].
-====== The EXplainable AI in Law (XAILA) 2018 Workshop ======
+===== XAILA 2020 at JURIX2020 =====
+==== Call for Papers ====
+{{ :xaila:xaila2020cfp1.pdf |}}
-**XAILA 2018 webpage [[http://xaila.geist.re]]**
+==== Motivation for the workshop ====
-**Organized by:** Grzegorz J. Nalepa, Martin Atzmueller, Michał Araszkiewicz, Paulo Novais\\
+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.
-at the [[http://jurix2018.ai.rug.nl/|31st international conference on Legal Knowledge and Information Systems]] December 12–14, 2018 in Groningen, The Netherlands
+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.
-===== Abstract =====
+==== Topics of interest ====
-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.
-===== Motivation and workshop topics =====
+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:
-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.
+  * the notions of transparency, interpretability and explainability in XAI
-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.
+  * non-functional design choices for explainable and transparent AI systems
-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:
-  * non-functional design choices for explainable and transparent AI systems (including legal requirements)
-  * legal requirements for AI systems in specific domains
   * legal consequences of black-box AI systems
-  * legal criteria for explainable and transparent 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
-  * ethical and legal implications of the use of AI systems in different spheres of societal life
+  * legal implications of the use of AI systems in different spheres of societal life
-  * relation of XAI and argumentation technologies
+  * the notion of right to explanation
-  * XAI models and architectures
+  *  relation of XAI and RAI to argumentation technologies
-  * understanding of the notions of explanation and transparency in XAI
+  * approaches and architectures for XAI and RAI in AI systems
-  * risk-based approach to analysis of AI systems and the influence of XAI on risk assessment
+  * XAI, RAI and declarative domain knowledge
-  * incorporating ethical values into AI systems and the legal interpretation and consequences of this process
+  * risk-based approach to analysis of AI systems and the influence of XAI on risk assessment
-  * XAI, privacy and data protection
+  * incorporation of ethical values into AI systems, its legal interpretation and consequences
-  * possible legal aspects and consequences of affective systems
+  * XAI, privacy and data protection (conceptual and theoretical issues)
-  * legal requirements and risks in AI applications
   * XAI, certification and compliance
-===== Program committee =====
+==== Workshop format ====
+Workshop format: paper presentations + panel discussion, invited talk/s.
-Martin Atzmueller, Tilburg University, The Netherlands\\
+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\\
@@ Line 48: / Line 56: @@
 David Camacho, Universidad Autonoma de Madrid, Spain\\
 Pompeu Casanovas, Universitat Autonoma de Barcelona, Spain\\
-Colette Cuijpers, Tilburg University, The Netherlands\\
-Rafał Michalczak, Jagiellonian University, Poland\\
 Teresa Moreira, University of Minho Braga, Portugal\\
 Paulo Novais, University of Minho Braga, Portugal\\
@@ Line 56: / Line 62: @@
 Martijn von Otterlo, Tilburg University, The Netherlands\\
 Adrian Paschke, Freie Universität Berlin, Germany\\
-Jose Palma, Univesidad de Murcia, Spain\\
 Monica Palmirani, Università di Bologna, Italy\\
 Radim Polčák, Masaryk University, Czech Republic\\
 Marie Postma, Tilburg University, The Netherlands\\
-Juan Pavón, Universidad Complutense de Madrid, Spain\\
 Ken Satoh, National Institute of Informatics, Japan\\
 Erich Schweighofer, University of Vienna, Austria\\
-Piotr Skrzypczyński, Poznań University of Technology, Poland\\
+Michal Valco, Constantine the Philosopher University in Nitra, Slovakia\\
-Dominik Ślęzak, Warsaw University, Poland\\
+Tomasz Żurek, Maria Curie-Skłodowska University of Lublin, Poland\\
-Michal Valco, University of Presov, Slovakia\\
-Tomasz Żurek, Maria Curie-Skłodowska University of Lublin, Poland
-===== Important dates =====
+==== Important dates ====
-  * Submission: 		23.<del>14</del>.11.2018
+Submission: 		26.10.2020\\
-  * Notification:  		30.<del>23</del>.11.2018
+Notification:  		23.11.2020\\
-  * Camera-ready: 	07.12.<del>30.11</del>.2018
+Camera-ready: 	30.11.2020\\
-  * Workshop:  		12.12.2018
+Workshop:  		09.12.2020\\
-===== Submission =====
+==== Submission details ====
-Please submit using the dedicated Easychair installation [[https://easychair.org/conferences/?conf=xaila2018]]
-We accept long (8 pages) and short (4 pages) papers in PDF.
+A dedicated Easychair installation is provided at [[https://easychair.org/conferences/?conf=xaila2020]]
-Please use the [[http://www.iospress.nl/service/authors/latex-and-word-tools-for-book-authors/
-|IOS Press format.]]
-===== Proceedings =====
+Workshop proceedings will be made available by CEUR-WS. A post workshop journal publication is considered.
-Workshop proceedings will be made available by CEUR-WS.
-A post workshop journal publication is considered.
-===== Call for papers =====
+===== Past editions of XAILA =====
-{{ :xaila:xaila-cfp-v3.pdf }}
+[[start2018|The first edition, XAILA2018]] was
+Organized by: Grzegorz J. Nalepa, Martin Atzmueller, Michał Araszkiewicz, Paulo Novais\\
+at the [[http://jurix2018.ai.rug.nl/|31st international conference on Legal Knowledge and Information Systems]] December 12–14, 2018 in Groningen, The Netherlands
+[[start2018|See the dedicated page for XAILA2018]]
-===== Accepted papers =====
+XAILA 2018 proceedings can be found at [[http://ceur-ws.org/Vol-2381]]
-Regular papers:
-  * Jakub Harašta. //Trust by Discrimination: Technology Specific Regulation & Explainable AI//
-  * Giovanni Sileno, Alexander Boer and Tom Van Engers. //The Role of Normware in Trustworthy and Explainable AI//
-  * Martijn Van Otterlo and Martin Atzmueller. //On Requirements and Design Criteria for Explainability in Legal AI//
-  * Michał Araszkiewicz and Grzegorz J. Nalepa. //Explainability of Formal Models of Argumentation Applied to Legal Domain//
-  * Bernardo Alkmim, Edward Hermann Haeusler and Alexandre Rademaker. //Utilizing iALC to Formalize the Brazilian OAB Exam//
-  * Muhammad Mudassar Yamin and Basel Katt. //Ethical Problems and Legal Issues in Development and Usage Autonomous Adversaries in Cyber Domain//
-Short papers:
-  * Michał Araszkiewicz and Tomasz Zurek. //A Dialogical Framework for Disputed Issues in Legal Interpretation//
-  * Veronika Žolnerčíková. //Homologation of Autonomous Machines from a Legal Perspective//
-===== Workshop Schedule =====
-.45-10.10 <del>9.30-9.40</del> - **Introduction** (conference chairs)\\
-<del>9.40-10.10 -  Jakub Harašta. Trust by Discrimination: Technology Specific Regulation & Explainable AI</del>\\
-.10-10.40 - Giovanni Sileno, Alexander Boer and Tom Van Engers. The Role of Normware in Trustworthy and Explainable AI\\
-.40-11.00 - Michał Araszkiewicz and Tomasz Zurek. A Dialogical Framework for Disputed Issues in Legal Interpretation
-.00-11.30 - **Coffee break**
-.30-12.30 - **Keynote lecture: [[http://www.ai.rug.nl/~verheij|Bart Verheij]]: Good AI and Law**\\
-Abstract: //AI's successes are these days so prominent that---if we believe reports in the news---the times seem near that machines perform better at any human task than humans themselves. At the same time the prominent AI technique of neural networks---today typically called deep learning---is often considered to lead to black box results, hindering transparency, explainability and responsibility, values that are central in the domain of law. So in that specific sense, the distance between neural network AI and the needs of the law is vast. In this talk, it is claimed that for good AI & Law we need an AI that can provide good answers to our questions, has good reasons for them and makes good choices. It is argued that the path towards good AI & Law requires the integration of data-driven and knowledge-based AI, and that argumentation as it occurs in the law can show the way to such integration.//
-Bio: //Prof. Bart Verheij holds the chair of artificial intelligence and argumentation at the University of Groningen. He is head of the department of Artificial Intelligence in the Bernoulli Institute of Mathematics, Computer Science and Artificial Intelligence, Faculty of Science and Engineering. He participates in the Multi-Agent Systems research program. His research focuses on artificial intelligence and argumentation, often with the law as application domain. He is currently working on the connections between knowledge, data and reasoning, as a contribution to explainable, responsible and social artificial intelligence. He is president of the International Association for Artificial Intelligence and Law (IAAIL).//
-.30-13.00 - Michał Araszkiewicz and Grzegorz J. Nalepa. Explainability of Formal Models of Argumentation Applied to Legal Domain\\
-.00-14.00 - **Lunch**
-.00-14.30 -  Martijn Van Otterlo and Martin Atzmueller. On Requirements and Design Criteria for Explainability in Legal AI
+We also proposed XAILA to be held on the [[https://icail2019-cyberjustice.com|International Conference on Artificial Intelligence and Law (ICAIL)]], June 17-21, 2019, Montréal (Qc.), Canada. While the workshop was met with a large interest, and attracted many registered participants, surprisingly too few papers were actually submitted.
-\\
+[[icail2019|See the dedicated page for XAILA2019@ICAIL]]
-.30-15.00 - Muhammad Mudassar Yamin and Basel Katt. Ethical Problems and Legal Issues in Development and Usage Autonomous Adversaries in Cyber Domain
-.00-15.30 - **Coffee break**
+[[start2019|The second edition of XAILA, XAILA2019]] was Organized by: Grzegorz J. Nalepa, Martin Atzmueller, Michał Araszkiewicz, Paulo Novais\\
+at the [[https://jurix2019.oeg-upm.net/|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)
+[[start2019|See the dedicated page for XAILA2019]]
-.30-16.00 - Bernardo Alkmim, Edward Hermann Haeusler and Alexandre Rademaker. Utilizing iALC to Formalize the Brazilian OAB Exam\\
+XAILA 2019 proceedings can be found at [[http://ceur-ws.org/Vol-2681]]
-.00-16.20 - Veronika Žolnerčíková. Homologation of Autonomous Machines from a Legal Perspective\\
-.20-16:45 - **XAILA, closing & open discussion**