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xaila:start [2019/01/18 11:56]
gjn
xaila:start [2019/03/23 18:13]
gjn [List of members of the program committee]
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-====== The EXplainable AI in Law (XAILA) ​2019 Workshop ======+====== The EXplainable AI in Law (XAILA) Workshop ======
  
 **XAILA webpage [[http://​xaila.geist.re]]** **XAILA webpage [[http://​xaila.geist.re]]**
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 **Organized by:** Grzegorz J. Nalepa, Martin Atzmueller, Michał Araszkiewicz,​ Paulo Novais **Organized by:** Grzegorz J. Nalepa, Martin Atzmueller, Michał Araszkiewicz,​ Paulo Novais
  
 +[[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]]
  
-====== The EXplainable AI in Law (XAILA) 2018 Workshop ======+===== XAILA2019@ICAIL ​=====
  
-**XAILA 2018 webpage ​[[http://xaila.geist.re]]**+The 2nd EXplainable AI in Law Workshop (XAILA2019@ICAIL) 
 +at the  
 +[[https://icail2019-cyberjustice.com|17th International Conference on Artificial Intelligence and Law (ICAIL2019)]] 
 +June 17-21, 2019, Montréal (Qc.), Canada ​
  
-**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 
  
-===== Abstract ===== +Organizers: Grzegorz JNalepaMartin AtzmuellerMichał AraszkiewiczPaulo Novais
-Humanized AI emphasizes transparency and explainability in AI systemsThese perspectives have an important ethical dimensionthat is most often analyzed by philosophers. Howeverin order for it to be fruitful for AI engineersit 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 =====+==== Workshop ​and description ​====
  
-Humanized AI (HAI) includes important perspectives in AI systems, including transparency and explainability (XAI). ​Another ​one is the affective computing paradigmThese perspectives have an important ethical ​dimensionWhile ethical discussion is conducted by many philosophers, in order for it to be fruitful for engineers in AIit has to be properly focused with specific concepts and operationalized. +Humanized AI (HAI) includes important perspectives in AI systems, including transparency and explainability (XAI). ​The idea of XAI has recently emerged as one of the most debated topics not only in the scientific community, but also in the general publicThe design and use of AI algorithms raises ​important ​engineering,​ societal, ​ethical ​and legal challengesIn particularAI-enhanced tools are used in commercial settings (advertisemente-marketing)civil and labour law relations (such as employee assessment and recruitment processes)financial markets, penitentiary systems as well as in medical diagnosis etcThe decisions taken with the support ​of or directly based on the results generated by AI have more and more impact ​on the life of societies of individualsMachine Learning tools are also intensively developed with an intention ​of application in the field of legal services provision and legal decision-making processUnderstandability of the operations of these algorithmsas well as the provisioning ​of explanations with regard to the decision making process in the AI systems is of profound importance. Furthermore,​ only these features can lay foundations ​for the proper discussion of the ethical aspects of AI systemsThe workshop’s idea is to discuss ​the current state of the art with respect to these broad yet important multidisciplinary challenges ​as well as the prospects ​for the future. 
-We believethat it is the intersection of Law and AI that makes such an endeavor possible. Togetherthis lays foundations and provides a conceptual framework for ethical concepts and values ​in AI systemsTherefore, when discussing ethical consequences and considerations ​of transparent and explainable ​AI systems, including affective systems, we should focus on the legal conceptual frameworkA significant part of AI and Law research during ​the last two decades was devoted to operationalization ​of legal thinking with valuesThese results may now be reconsidered in a broader contextconcerning ​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 workshopTogether we would like to address some questions like:+==== Topics ==== 
 + 
 +The scope of the XAILA workshop encompasses a broad array of topics including, but not limited ​to: 
 +  * the notions of transparency,​ interpretability and explainability in XAI
   * non-functional design choices for explainable and transparent AI systems (including legal requirements)   * 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 consequences of black-box AI systems
   * legal criteria for explainable and transparent AI systems   * legal criteria for explainable and transparent AI systems
   * 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   * 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   * relation of XAI and argumentation technologies
   * XAI models and architectures   * XAI models and architectures
-  ​* understanding of the notions of explanation and transparency in XAI  +  * 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 ​+
   * incorporating ethical values into AI systems and the legal interpretation and consequences of this process   * incorporating ethical values into AI systems and the legal interpretation and consequences of this process
   * XAI, privacy and data protection   * XAI, privacy and data protection
   * possible legal aspects and consequences of affective systems   * possible legal aspects and consequences of affective systems
-  * legal requirements and risks in AI applications 
   * XAI, certification and compliance   * XAI, certification and compliance
  
-===== Program committee =====+==== The intended audience ​==== 
 +The workshop is of particular interest for the members of AI and Law community. However, it may also be found relevant by sociologists,​ lawyers (e.g. judges), data protection officers, business people, policymakers,​ legislators,​ public officers, NGO and last but certainly not least engineers. ​ Our objective is to bring people from AI interested in XAI/HAI topics and create an ample space for discussion with people from the field of legal scholarship and/or legal practice.
  
 +==== List of members of the program committee ==== 
 +//​tentative//​
 Martin Atzmueller, Tilburg University, The Netherlands\\ Martin Atzmueller, Tilburg University, The Netherlands\\
 Michal Araszkiewicz,​ Jagiellonian University, Poland\\ Michal Araszkiewicz,​ Jagiellonian University, Poland\\
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 Tomasz Żurek, Maria Curie-Skłodowska University of Lublin, Poland Tomasz Żurek, Maria Curie-Skłodowska University of Lublin, Poland
  
-===== Important dates =====+==== Important dates ====
  
-  * Submission: 23.<​del>​14</​del>​.11.2018 +Submission: 26.04.2019\\ 
-  ​* ​Notification: ​ 30.<​del>​23</​del>​.11.2018 +Notification: ​ 10.05.2019\\ 
-  ​* ​Camera-ready:​ 07.12.<​del>​30.11</​del>​.2018 +Camera-ready:​ 31.05.2019\\ 
-  ​* ​Workshop: ​ 12.12.2018+Workshop: ​ 17.06.2019
  
-===== Submission ​===== +==== Submission ​and proceedings ​====  
-Please submit using the dedicated Easychair installation [[https://​easychair.org/​conferences/?​conf=xaila2018]]+Please submit using the dedicated Easychair installation ​ 
 +[[https://​easychair.org/​conferences/?​conf=xaila2019icail]]
  
-We accept long (8 pages) and short (4 pages) papers in PDF.  +We accept long (8 pages) and short/​position ​(4 pages) papers in PDF only.  
-Please use the [[http://www.iospress.nl/service/authors/​latex-and-word-tools-for-book-authors/​ +Please use the ACM format: ​[[https://www.acm.org/publications/proceedings-template]]
-|IOS Press format.]]+
  
-===== Proceedings ===== 
 Workshop proceedings will be made available by CEUR-WS. ​ Workshop proceedings will be made available by CEUR-WS. ​
 A post workshop journal publication is considered. A post workshop journal publication is considered.
- 
-===== Call for papers ===== 
-{{ :​xaila:​xaila-cfp-v3.pdf }} 
- 
-===== Accepted papers ===== 
- 
-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 ===== 
-9.45-10.10 <​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>​\\ 
-10.10-10.40 - Giovanni Sileno, Alexander Boer and Tom Van Engers. The Role of Normware in Trustworthy and Explainable AI\\  
-10.40-11.00 - Michał Araszkiewicz and Tomasz Zurek. A Dialogical Framework for Disputed Issues in Legal Interpretation 
- 
-11.00-11.30 - **Coffee break** 
- 
-11.30-12.30 - **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).// 
-  
-12.30-13.00 - Michał Araszkiewicz and Grzegorz J. Nalepa. Explainability of Formal Models of Argumentation Applied to Legal Domain\\ 
-13.00-14.00 - **Lunch** 
- 
-14.00-14.30 -  Martijn Van Otterlo and Martin Atzmueller. On Requirements and Design Criteria for Explainability in Legal AI 
-\\ 
-14.30-15.00 - Muhammad Mudassar Yamin and Basel Katt. Ethical Problems and Legal Issues in Development and Usage Autonomous Adversaries in Cyber Domain 
- 
-15.00-15.30 - **Coffee break** 
- 
-15.30-16.00 - Bernardo Alkmim, Edward Hermann Haeusler and Alexandre Rademaker. Utilizing iALC to Formalize the Brazilian OAB Exam\\ 
-16.00-16.20 - Veronika Žolnerčíková. Homologation of Autonomous Machines from a Legal Perspective\\ 
-16.20-16:45 - **XAILA, closing & open discussion** 
  
xaila/start.txt · Last modified: 2019/03/23 18:27 by gjn
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