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xaila:start [2020/11/29 19:51] gjnxaila:start [2021/11/27 17:39] (current) – [Submission and proceedings] gjn
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 XAILA is an interdisciplinary workshop on the intersection of AI and Law, focusing on the important issues of EXplainable and Responsible AI. 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 //[[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]]. See more information on the [[start#past editions of XAILA]].
  
-===== XAILA 2020 at JURIX2020 ===== +===== XAILA at JURIX 2021 =====
-==== Workshop Program ==== +
-The workshop will take place on 09.12.2020 online using MSTeams. +
-More details will follow. +
- +
-==== 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. +
- +
-==== Call for Papers ==== +
-{{ :xaila:xaila2020cfp1.pdf |}}+
  
-==== Motivation for the workshop ====+The 5th International Workshop on eXplainable and Responsible AI and Law (XAILA2021@JURIX) 
 +at the  
 +34th International Conference on Legal Knowledge and Information Systems 
 +Mykolas Romeris University, Vilnius, Lithuania December 8, 2021 
 +[[https://jurix2021.mruni.eu]]
  
-In the last several years we have observed a growing interest in advanced AI systems achieving impressive task performance. Howeverthere has also been an increased awareness of their complexity and challenging consequences of their possibly limited understandability to humans. In responsea number of research directions have been initiated. These include humanized or human-centered AIas well as ethically alignedethically designedor just ethical AIIn many of these ideasthe principal concept seems to be the explanatory capability of the AI system (XAI)e.g. via interpretable and explainable machine learninginclusion 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.+Organizing Committee: 
 +Michał Araszkiewicz, Jagiellonian University in KrakówPoland, 
 +Martin AtzmuellerUniversity in OsnabrückGermany, 
 +Grzegorz JNalepaJagiellonian University in Kraków 
 +Bart VerheijUniversity in Groningen
  
-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 convincedthat the advancements of AI are way too fast, and the ethical perspective much too vague to offer conclusive and constructive results. We are convincedthat 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.+==== Description ==== 
 +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. For 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 again been 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 ==== ==== 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
  
-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:+==== Important dates ====
  
-  * the notions of transparency, interpretability and explainability in XAI +Submission:                   19.11.2021\\ 
-  * non-functional design choices for explainable and transparent AI systems +Notification:                    28.11.2021\\ 
-  * legal consequences of black-box AI systems +Camera-ready:               05.12.2021\\ 
-  * legal criteria and requirements for explainable, transparent, and responsible AI systems +Workshop:                      08.12.2021
-  * 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 ==== +==== Submission and proceedings ====
-Workshop format: paper presentations + panel discussion, invited talk/s.+
  
-Intended audience are practitioners and theorists from both law and AI+We accept regular/long papers up to 12pp. We also welcome short and position papers of 6pp. Please use the Springer LNCS format. A dedicated Easychair installation is provided at 
 +https://easychair.org/conferences/?conf=xailajurix2021
  
-==== Program Committee ==== +==== Program Committee (tbe & tbc) ==== 
- +Martin AtzmüllerOsnabrück University, Germany\\ 
-List of members of the program committee (to be confirmed):\\ +Michał Araszkiewicz, Jagiellonian University, Poland\\
-Martin AtzmuellerOsnabrueck University, Germany\\ +
-Michal Araszkiewicz, Jagiellonian University, Poland\\+
 Kevin Ashley, University of Pittsburgh, USA\\ Kevin Ashley, University of Pittsburgh, USA\\
-Szymon Bobek, AGH University, Poland\\+Floris Bex, Utrecht University, the Netherlands\\ 
 +Szymon Bobek, Jagiellonian University, Poland\\ 
 +Georg Borges, Universität des Saarlandes, Germany\\
 Jörg Cassens, University of Hildesheim, Germany\\ Jörg Cassens, University of Hildesheim, Germany\\
 David Camacho, Universidad Autonoma de Madrid, Spain\\ David Camacho, Universidad Autonoma de Madrid, Spain\\
 Pompeu Casanovas, Universitat Autonoma de Barcelona, Spain\\ Pompeu Casanovas, Universitat Autonoma de Barcelona, Spain\\
-Teresa MoreiraUniversity of Minho BragaPortugal\\+Enrico FrancesconiIGSG-CNRItaly\\
 Paulo Novais, University of Minho Braga, Portugal\\ Paulo Novais, University of Minho Braga, Portugal\\
-Grzegorz J. Nalepa, AGH University, Jagiellonian University, Poland\\+Grzegorz J. Nalepa, Jagiellonian University, Poland\\
 Tiago Oliveira, National Institute of Informatics, Japan\\ Tiago Oliveira, National Institute of Informatics, Japan\\
 Martijn von Otterlo, Tilburg University, The Netherlands\\ Martijn von Otterlo, Tilburg University, The Netherlands\\
 +Jose Palma, Universidad de Murcia, Spain\\
 Adrian Paschke, Freie Universität Berlin, Germany\\ Adrian Paschke, Freie Universität Berlin, Germany\\
 +Juan Pavón, Universidad Complutense de Madrid, Spain\\
 Monica Palmirani, Università di Bologna, Italy\\ Monica Palmirani, Università di Bologna, Italy\\
 Radim Polčák, Masaryk University, Czech Republic\\ Radim Polčák, Masaryk University, Czech Republic\\
 Marie Postma, Tilburg University, The Netherlands\\ Marie Postma, Tilburg University, The Netherlands\\
 +Víctor Rodríguez-Doncel, Universidad Politécnica de Madrid, Spain\\
 Ken Satoh, National Institute of Informatics, Japan\\ Ken Satoh, National Institute of Informatics, Japan\\
 Jaromír Šavelka, Carnegie Mellon University, USA\\ Jaromír Šavelka, Carnegie Mellon University, USA\\
 Erich Schweighofer, University of Vienna, Austria\\ Erich Schweighofer, University of Vienna, Austria\\
 +Piotr Skrzypczyński, Poznań University of Technology, Poland\\
 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\\+Bart Verheij, University of Groningen, The Netherlands\\ 
 +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>\\ +===== Past editions of XAILA =====
-Notification:  23.11.2020\\ +
-Camera-ready: 30.11.2020\\ +
-Workshop:  09.12.2020\\+
  
-==== Submission details ====+[[xaila2021icail|The fourth edition of XAILA, XAILA2021ICAIL]] was 
 +organized by Michał Araszkiewicz, Martin Atzmueller, Grzegorz J. Nalepa, Bart Verheij 
 +at the 18th International Conference on Artificial Intelligence and Law (ICAIL 2021) held in Sao Paulo, Brazil (entirely online).
  
-We accept regular/long papers up to 12pp. +[[xaila2020|The third edition of XAILA, XAILA2020]] was  
-We also welcome short and position papers of 6pp. +organized by Grzegorz J. Nalepa, Michał Araszkiewicz, Bart Verheij, and Martin Atzmueller 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.
-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]]+XAILA 2020 proceedings can be found at [[http://ceur-ws.org/Vol-2891/]]
  
-Workshop proceedings will be made available by CEUR-WSA post workshop journal publication is considered.+[[start2019|The second edition of XAILA, XAILA2019]] was organized by: Grzegorz JNalepa, 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]]
  
-===== Past editions of XAILA =====+XAILA 2019 proceedings can be found at [[http://ceur-ws.org/Vol-2681]] 
 + 
 +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]]
    
 [[start2018|The first edition, XAILA2018]] was  [[start2018|The first edition, XAILA2018]] was 
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 XAILA 2018 proceedings can be found at [[http://ceur-ws.org/Vol-2381]] 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]] 
  
xaila/start.1606679460.txt.gz · Last modified: 2020/11/29 19:51 by gjn
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