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xaila:start [2019/12/11 08:51] – [XAILA 2019 at Jurix 2019] schedule gjnxaila:start [2020/11/29 19:50] – P. Hacker gjn
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-====== The EXplainable AI in Law (XAILA) Workshop ======+====== The EXplainable & Responsible AI in Law (XAILA) Workshop ======
  
-**XAILA webpage [[http://xaila.geist.re]]**+**The main XAILA webpage is [[http://xaila.geist.re]]**
  
-[[start2018|The first edition, XAILA2018]] was  +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\\ +
-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]]+
  
-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.  +In 2020 we are having the 3rd edition of XAILA, organized by Grzegorz J. Nalepa, Michał Araszkiewicz, Bart Verheij, and Martin Atzmueller  
-[[icail2019|See the dedicated page for XAILA2019@ICAIL]]+(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).
  
-**The second edition of XAILA** is Organized by: Grzegorz J. Nalepa, Martin Atzmueller, Michał Araszkiewicz, Paulo Novais\\ +See more information on the [[start#past editions of XAILA]].
-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)+
  
-===== XAILA 2019 at Jurix 2019 ===== +===== XAILA 2020 at JURIX2020 ===== 
-==== Workshop Schedule ====+==== Workshop Program ==== 
 +The workshop will take place on 09.12.2020 online using MSTeams. 
 +More details will follow.
  
-Location: **The next building after registration, Room 27, 2nd floor**+==== Invited Speakers ====
  
- 9:30- 9:40 XAILA Chairs - Workshop Opening\\ +{{:xaila:p_hacker.jpg?100 |}} 
- 9:40-10:10 Francesco Sovrano, Fabio Vitali and Monica Palmirani: //The difference between Explainable and Explaining: requirements and challenges under the GDPR//\\ +**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).
-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\\+
  
-11:00-11:44 //Invited talk:// María Jesús González-Espejo, [[https://institutodeinnovacionlegal.com/|Instituto de Innovacion Legal]]\\ +**Title of Talk** AI and Discrimination: Legal Challenges and Technical Strategies
-11:44-12:10 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\\+
  
 +**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.
  
-==== Organizers ====  +==== Call for Papers ==== 
-Grzegorz J. Nalepa, Martin Atzmueller, Michał Araszkiewicz, Paulo Novais+{{ :xaila:xaila2020cfp1.pdf |}}
  
-==== Abstract ====  +==== Motivation for the workshop ==== 
-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.+ 
 +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:
  
-==== Motivation for the workshop and description ==== 
-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   * the notions of transparency, interpretability and explainability in XAI
   * non-functional design choices for explainable and transparent AI systems   * non-functional design choices for explainable and transparent AI systems
   * legal consequences of black-box AI systems   * legal consequences of black-box AI systems
-  * legal criteria and requirements 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   * 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
   * the notion of right to explanation   * the notion of right to explanation
-  * relation of XAI and argumentation technologies +  *  relation of XAI and RAI to argumentation technologies 
-  * XAI models, approaches and architectures +  * approaches and architectures for XAI and RAI in AI systems 
-  * XAI and declarative domain knowledge+  * XAI, RAI and declarative domain knowledge
   * risk-based approach to analysis of AI systems and the influence of XAI on risk assessment   * 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 +  * incorporation of ethical values into AI systems, its legal interpretation and consequences 
-  * XAI, privacy and data protection +  * XAI, privacy and data protection (conceptual and theoretical issues)
-  * possible legal aspects and consequences of affective systems+
   * XAI, certification and compliance   * XAI, certification and compliance
  
-==== List of members of the program committee (tentative) ====+==== 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\\ Michal Araszkiewicz, Jagiellonian University, Poland\\
 Kevin Ashley, University of Pittsburgh, USA\\ Kevin Ashley, University of Pittsburgh, USA\\
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 Adrian Paschke, Freie Universität Berlin, Germany\\ Adrian Paschke, Freie Universität Berlin, Germany\\
 Monica Palmirani, Università di Bologna, Italy\\ Monica Palmirani, Università di Bologna, Italy\\
-Juan Pavón Universidad Complutense de Madrid, Spain\\ 
 Radim Polčák, Masaryk University, Czech Republic\\ Radim Polčák, Masaryk University, Czech Republic\\
 Marie Postma, Tilburg University, The Netherlands\\ Marie Postma, Tilburg University, The Netherlands\\
 Ken Satoh, National Institute of Informatics, Japan\\ Ken Satoh, National Institute of Informatics, Japan\\
 +Jaromír Šavelka, Carnegie Mellon University, USA\\
 Erich Schweighofer, University of Vienna, Austria\\ Erich Schweighofer, University of Vienna, Austria\\
 Michal Valco, Constantine the Philosopher University in Nitra, Slovakia\\ Michal Valco, Constantine the Philosopher University in Nitra, Slovakia\\
-Tomasz Żurek, Maria Curie-Skłodowska University of Lublin, Poland+Tomasz Żurek, Maria Curie-Skłodowska University of Lublin, Poland\\
  
 ==== Important dates ==== ==== Important dates ====
-Submission: 25.11.2019\\ 
-Notification:  01.12.2019\\ 
-Corrected papers: 06.12.2019\\ 
-Workshop:  11.12.2019\\ 
  
-====Submission and proceedings==== +Submission: //09.11.2020// <del>04.11.2020</del> <del>26.10.2020</del>\\ 
-Please submit papers using the dedicated Easychair installation  +Notification:  23.11.2020\\ 
-[[https://easychair.org/conferences/?conf=xaila2019]] +Camera-ready: 30.11.2020\\ 
-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. +Workshop:  09.12.2020\\ 
-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.  +==== Submission details ==== 
-A post workshop journal publication is considered.+ 
 +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. 
 + 
 +===== Past editions of XAILA ===== 
 +  
 +[[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]] 
 + 
 +XAILA 2018 proceedings can be found at [[http://ceur-ws.org/Vol-2381]] 
 + 
 +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]] 
 + 
 +[[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]]
  
 +XAILA 2019 proceedings can be found at [[http://ceur-ws.org/Vol-2681]]
  
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