On the 17 of July 2020, the High-Level Expert Group on Artificial Intelligence (AI HLEG) presented their final Assessment List for Trustworthy Artificial Intelligence. Following a piloting process where over 350 stakeholders participated, an earlier prototype of the list was revised and translated into a tool to support AI developers and deployers in developing Trustworthy AI. The tool supports the actionability the key requirements outlined by the Ethics Guidelines for Trustworthy Artificial Intelligence (AI), presented by the High-Level Expert Group on AI (AI HLEG) presented to the European Commission, in April 2019. The Ethics Guidelines introduced the concept of Trustworthy AI, based on seven key requirements: human agency and oversight technical robustness and safety privacy and data governance transparency diversity, non-discrimination and fairness environmental and societal well-being and accountability Through the Assessment List for Trustworthy AI (ALTAI), AI principles are translated into an accessible and dynamic checklist that guides developers and deployers of AI in implementing such principles in practice. ALTAI will help to ensure that users benefit from AI without being exposed to unnecessary risks by indicating a set of concrete steps for self-assessment. Download the Assessment List for Trustworthy Artificial Intelligence (ALTAI) (.pdf) The ALTAI is also available in a web-based tool version. More on the ALTAI web-based tool: https://futurium.ec.europa.eu/en/european-ai-alliance/pages/altai-assessment-list-trustworthy-artificial-intelligence

This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (‘AI’) and the Law. AI technology has come to play a central role in the modern data economy. Through a combination of increased computing power, the growing availability of data and the advancement of algorithms, AI has now become an umbrella term for some of the most transformational technological breakthroughs of this age. The importance of AI stems from both the opportunities that it offers and the challenges that it entails. While AI applications hold the promise of economic growth and efficiency gains, they also create significant risks and uncertainty. The potential and perils of AI have thus come to dominate modern discussions of technology and ethics – and although AI was initially allowed to largely develop without guidelines or rules, few would deny that the law is set to play a fundamental role in shaping the future of AI.As the debate over AI is far from over, the need for rigorous analysis has never been greater. This book thus brings together contributors from different fields and backgrounds to explore how the law might provide answers to some of the most pressing questions raised by AI. An outcome of the Católica Research Centre for the Future of Law and its interdisciplinary working group on Law and Artificial Intelligence, it includes contributions by leading scholars in the fields of technology, ethics and the law.

Artificial Intelligence (AI) can benefit our society and economy, but also brings with it new challenges and raises legal and ethical questions. According to the author of this comprehensive analysis, it is imperative to ensure that AI is developed and applied in an appropriate legal and regulatory framework that promotes innovation and investment and, at the same time, addresses the risks associated with certain uses of AI-related technologies. Essential to understanding the relationship between policy and law, this book traces the evolution of EU policy on artificial intelligence and robotics, focusing in particular on the EU’s ethical framework for AI, which defines trust as a prerequisite for ensuring a human-centric approach. The main part of the book provides a thorough and systematic analysis of the Commission’s 2021 proposed AI Act, which establishes harmonised rules for the development, placement on the market and use of AI systems in the EU. The author painstakingly compares the Commission’s proposed AI Act with the numerous “compromise” proposals of the Council of the European Union, leading to the final version of the Council’s AI Act (general approach) and its formal adoption on 6 December 2022. The author also examines with extraordinary detail the amendments proposed by the relevant committees and political groups of the European Parliament, revealing the position the Parliament is likely to adopt in the forthcoming negotiations with the Commission and the Council on the text of the AI Act. Numerous legislative and policy documents are presented in detail, while the analysis also considers the comments made by all interested parties (e.g. the European Commission, Council of the European Union, European Parliament, governmental organisations, national competent authorities, and stakeholders/actors with different/conflicting interests, such as corporations, business and consumer associations, civil society and other non-profit organisations). In the course of its in-depth analysis, this book will provide readers with crucial insight into the reasons behind the European Institutions’ different approaches and the often contradictory interests of stakeholders. Because the policy arguments are carefully balanced and drafted with scrupulous care, this volume will establish itself as a reference resource to be consulted for years to come.

This book studies three interrelated frontiers in civil justice from European and national perspectives, combining theory with policy and insights from practice: the interplay between private and public justice, the digitisation of justice, and litigation funding. These current topics are viewed against the backdrop of the requirements of effective access to justice and the overall goal of establishing a sustainable civil justice system in Europe.

This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on the Foundation of Trustworthy AI - Integrating Learning, Optimization and Reasoning, TAILOR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence. The 11 revised full papers presented together with 6 short papers and 6 position papers were reviewed and selected from 52 submissions. The contributions address various issues for Trustworthiness, Learning, reasoning, and optimization, Deciding and Learning How to Act, AutoAI, and Reasoning and Learning in Social Contexts.