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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 | + | In 2021 we are planning next editions |
- | (Jagiellonian University, Poland; University of Groningen, The Netherlands; | + | |
- | 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, | + | |
See more information on the [[start# | See more information on the [[start# | ||
+ | |||
+ | ===== XAILA 2021 at ICAIL2021 ===== | ||
+ | The 4th International Workshop on // | ||
+ | at the [[https:// | ||
+ | |||
+ | The idea of the XAILA series of JURIX workshops (1st edition XAILA 2018 in Groningen, 2nd edition XAILA 2019 in Madrid, 3rd edition XAILA 2020 in Brno (online)) is to provide an interdisciplinary platform for the discussion of ideas with respect to explainable AI, algorithmic transparency, | ||
+ | |||
+ | ==== Organizing Commitee ==== | ||
+ | Michał Araszkiewicz, | ||
+ | Martin Atzmueller, University in Osnabrück, Germany\\ | ||
+ | Grzegorz J. Nalepa, Jagiellonian University in Kraków, Poland\\ | ||
+ | Bart Verheij, University in Groningen, the Netherlands\\ | ||
+ | |||
+ | ==== Call for Papers ==== | ||
+ | {{ : | ||
+ | |||
+ | ==== Program ==== | ||
+ | June 21 (Monday) Entirely online (the login information provided via email) | ||
+ | |||
+ | **//All hours are in GMT//** | ||
+ | |||
+ | //Workshop starts// | ||
+ | |||
+ | * 15.30-15.45 – Opening | ||
+ | * 15.45-16.45 – Keynote Lecture | ||
+ | |||
+ | //Paper session 1// | ||
+ | |||
+ | * 16.45-17.15 – Trevor Bench-Capon, | ||
+ | * 17.15-17.45 – Salvatore Sapienza, Explanations in Risk Analysis: Responsibility, | ||
+ | * 17.45-18.15 - Alžběta Krausová, Miloslav Konopík, Ondřej Pražák, Jakub Sido, Veronika Žolnerčíková, | ||
+ | |||
+ | * 18.15-18.30 - break | ||
+ | * 18.30-19.20 – Keynote Lecture – Katie Atkinson (University of Liverpool), The Landscape and Challenges for Explainability in AI and Law | ||
+ | |||
+ | //Paper session 2// | ||
+ | |||
+ | * 19.20 - 19.40 - Davide Carneiro, Patrícia Veloso, Miguel Guimarães, Joana Baptista and Miguel Sousa, A Conversational Interface for interacting with Machine Learning models | ||
+ | * 19.40-20.10 - Cor Steging, Bart Verheij and Silja Renooij, Discovering the Rationale of Decisions: Experiments on Aligning Learning and Reasoning | ||
+ | * 20.10-20.40 - roundtable discussion | ||
+ | |||
+ | |||
+ | ==== 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, | ||
+ | |||
+ | 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, | ||
+ | |||
+ | ==== 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 notions of transparency, | ||
+ | * non-functional design choices for explainable and transparent AI systems | ||
+ | * legal consequences of black-box AI systems | ||
+ | * legal criteria and requirements for explainable, | ||
+ | * 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 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 | ||
+ | |||
+ | ==== Important dates ==== | ||
+ | Submission: | ||
+ | Notification: | ||
+ | Camera-ready: | ||
+ | Workshop: 21.06.2021\\ | ||
+ | |||
+ | ==== Submission details ==== | ||
+ | We accept regular/ | ||
+ | A dedicated Easychair installation is provided at [[https:// | ||
+ | |||
+ | ==== Program Committee (tbe & tbc) ==== | ||
+ | Martin Atzmüller, Osnabrück University, Germany\\ | ||
+ | Michał Araszkiewicz, | ||
+ | Kevin Ashley, University of Pittsburgh, USA\\ | ||
+ | Floris Bex, Utrecht University, the Netherlands\\ | ||
+ | Szymon Bobek, Jagiellonian University, Poland\\ | ||
+ | Jörg Cassens, University of Hildesheim, Germany\\ | ||
+ | David Camacho, Universidad Autonoma de Madrid, Spain\\ | ||
+ | Pompeu Casanovas, Universitat Autonoma de Barcelona, Spain\\ | ||
+ | Enrico Francesconi, | ||
+ | Paulo Novais, University of Minho Braga, Portugal\\ | ||
+ | Grzegorz J. Nalepa, Jagiellonian University, Poland\\ | ||
+ | Tiago Oliveira, National Institute of Informatics, | ||
+ | Martijn von Otterlo, Tilburg University, The Netherlands\\ | ||
+ | Adrian Paschke, Freie Universität Berlin, Germany\\ | ||
+ | Juan Pavón, Universidad Complutense de Madrid, Spain\\ | ||
+ | Monica Palmirani, Università di Bologna, Italy\\ | ||
+ | Radim Polčák, Masaryk University, Czech Republic\\ | ||
+ | Víctor Rodríguez-Doncel, | ||
+ | Ken Satoh, National Institute of Informatics, | ||
+ | Jaromír Šavelka, Carnegie Mellon University, USA\\ | ||
+ | Erich Schweighofer, | ||
+ | Michal Valco, Constantine the Philosopher University in Nitra, Slovakia\\ | ||
+ | Bart Verheij, University of Groningen, The Netherlands\\ | ||
+ | Tomasz Żurek, Maria Curie-Skłodowska University of Lublin, Poland\\ | ||
+ | |||
+ | |||
+ | ==== Invited Speakers ==== | ||
+ | We are delighted that two excellent keynote speakers accepted our invitation to present their lectures at XAILA2011@ICAIL. They are: | ||
+ | |||
+ | **Prof. Katie Atkinson** | ||
+ | |||
+ | Title: The Landscape and Challenges for Explainability in AI and Law | ||
+ | |||
+ | Bio: Katie Atkinson is Professor of Computer Science and Dean of the School of Electrical Engineering, | ||
+ | |||
+ | **Prof. Wojciech Wiewiórowski, | ||
+ | |||
+ | Bio: Adjunct professor in the Faculty of Law and Administration of the University of Gdańsk. He was among others adviser in the field of e-government and information society for the Minister of Interior and Administration, | ||
+ | The Inspector General for the Protection of Personal Data (Polish Data Protection Commissioner) 2010-2014 and the Vice Chair of the Working Party Art. 29 in 2014. In December 2014, he was appointed Assistant European Data Protection Supervisor. After the death of the Supervisor - Giovanni Buttarelli in August 2019 - he replaced Mr. Buttarelli as acting EDPS. | ||
+ | His areas of scientific activity include first of all Polish and European IT law, processing and security of information, | ||
===== XAILA 2020 at JURIX2020 ===== | ===== XAILA 2020 at JURIX2020 ===== | ||
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**Abstract** | **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. | 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. | ||
+ | |||
+ | {{: | ||
+ | **Reinoud Baker** | ||
+ | |||
+ | **Title** Legal information systems in production | ||
+ | |||
+ | **Abstract** | ||
+ | LexIQ is a Dutch legal tech startup using data science for legal information services. We have the vision that legal tech can serve citizens, governments and businesses, for instance by improved access to justice, efficient use of resources and enhanced compliance. This talk will address what we have learned in the past 4 years. What can be achieved with modern software and algorithms? How can we make innovative technologies available for legal professionals and even the wider public? Which challenges are we encountering? | ||
+ | |||
==== Call for Papers ==== | ==== Call for Papers ==== |