-------- Forwarded Message -------- Subject: [WI] CfP: EXplainable AI in Law (XAILA) 2019 Date: Fri, 15 Nov 2019 14:41:14 +0100 From: Martin Atzmüller m.atzmuller@uvt.nl Reply-To: Martin Atzmüller m.atzmuller@uvt.nl To: kdml@cs.uni-kassel.de, wi@aifb.uni-karlsruhe.de

** Please forward to anyone who might be interested ** ------------------------------------------------------ CALL FOR Papers EXplainable AI in Law (XAILA) 2019 https://xaila.geist.re

Workshop co-located with Jurix 2019 (Legal Knowledge and Information Systems) https://jurix2019.oeg-upm.net

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

Important dates: ================ Submission: 25.11.2019 Notification: 01.12.2019 Camera-ready: 06.12.2019 Workshop: 11.12.2019