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xaila:start [2018/10/10 22:06] – created gjnxaila:start [2019/12/11 14:03] – [Workshop Schedule] talk slides gjn
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 +====== The EXplainable AI in Law (XAILA) Workshop ======
 +
 +**XAILA webpage [[http://xaila.geist.re]]**
 +
 +[[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]]
 +
 +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]]
 +
 +**The second edition of XAILA** is 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)
 +
 +===== XAILA 2019 at Jurix 2019 =====
 +==== Workshop Schedule ====
 +
 +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, [[https://institutodeinnovacionlegal.com/|Instituto de Innovacion Legal]]: //{{ :xaila:xaila2019-talk-iil_presentation_v1.pdf |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\\
 +
 +
 +==== Organizers ==== 
 +Grzegorz J. Nalepa, Martin Atzmueller, Michał Araszkiewicz, Paulo Novais
 +
 +==== Abstract ==== 
 +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 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
 +  * 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
 +
 +==== List of members of the program committee (tentative) ====
 +
 +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
 +
 +==== Important dates ====
 +Submission: 25.11.2019\\
 +Notification:  01.12.2019\\
 +Corrected papers: 06.12.2019\\
 +Workshop:  11.12.2019\\
 +
 +====Submission and proceedings====
 +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/start.txt · Last modified: 2021/11/27 17:39 by gjn
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