¿La Inteligencia Artificial responde correctamente al reto social que implica su irrupción en la sociedad contemporánea, a las dudas de su real aplicación y a los beneficios y perjuicios que genera? ¿Y en el caso de los sistemas de AI aplicados al Derecho? O, lo que es lo mismo, ¿son realmente útiles para que los humanos podamos pedir o impartir mejor Justicia? En un paradigma de computación cognitiva, los usuarios humanos son los principales responsables de personalizar su propia solución utilizando una aplicación legal, pero la tecnología de servicio legal estandarizada debe informar a los humanos de la necesidad de personalización y brindarles acceso personalizado a información legal relevante para ayudarlos a construir una solución. Es decir, la aplicación legal no solo seleccionará, ordenará, resaltará y resumirá la información de una manera adaptada al problema específico de un usuario humano, sino que también explorará la información e interactuará con los datos de formas nuevas que antes no eran posibles. Para que este enfoque tenga éxito, será necesario que la tecnología tenga cierta "comprensión" de la información a su disposición y de la relevancia de la información en el proceso de resolución de problemas del ser humano y que la información esté disponible convenientemente en los momentos adecuados y en los contextos adecuados, para que la computadora puede realizar mejor las tareas dirigidas a la experiencia de los usuarios humanos. En la presente obra especialistas de distintas áreas del derecho, ofrecen su aporte y visión en esta materia de creciente interés y desarrollo.

This book provides an in-depth overview of what is currently happening in the field of Law and Artificial Intelligence (AI). From deep fakes and disinformation to killer robots, surgical robots, and AI lawmaking, the many and varied contributors to this volume discuss how AI could and should be regulated in the areas of public law, including constitutional law, human rights law, criminal law, and tax law, as well as areas of private law, including liability law, competition law, and consumer law. Aimed at an audience without a background in technology, this book covers how AI changes these areas of law as well as legal practice itself. This scholarship should prove of value to academics in several disciplines (e.g., law, ethics, sociology, politics, and public administration) and those who may find themselves confronted with AI in the course of their work, particularly people working within the legal domain (e.g., lawyers, judges, law enforcement officers, public prosecutors, lawmakers, and policy advisors). Bart Custers is Professor of Law and Data Science at eLaw - Center for Law and Digital Technologies at Leiden University in the Netherlands. Eduard Fosch-Villaronga is Assistant Professor at eLaw - Center for Law and Digital Technologies at Leiden University in the Netherlands.

The availability of very large data sets and the increase in computing power to process them has led to a renewed intensity in corporate and governmental use of Artificial Intelligence (AI) technologies. This groundbreaking book, the first devoted entirely to the growing presence of AI in the legal profession, responds to the necessity of building up a discipline that due to its novelty requires the pooling of knowledge and experiences of well-respected experts in the AI field, taking into account the impact of AI on the law and legal practice. Essays by internationally known expert authors introduce the essentials of AI in a straightforward and intelligible style, offering jurists as many practical examples and business cases as possible so that they are able to understand the real application of this technology and its impact on their jobs and lives. Elements of the analysis include the following: crucial terms: natural language processing, machine learning and deep learning; regulations in force in major jurisdictions; ethical and social issues; labour and employment issues, including the impact that robots have on employment; prediction of outcome in the legal field (judicial proceedings, patent granting, etc.); massive analysis of documents and identification of patterns from which to derive conclusions; AI and taxation; issues of competition and intellectual property; liability and responsibility of intelligent systems; AI and cybersecurity; AI and data protection; impact on state tax revenues; use of autonomous killer robots in the military; challenges related to privacy; the need to embrace transparency and sustainability; pressure brought by clients on prices; minority languages and AI; danger that the existing gap between large and small businesses will further increase; how to avoid algorithmic biases when AI decides; AI application to due diligence; AI and non-disclosure agreements; and the role of chatbots. Interviews with pioneers in the field are included, so readers get insights into the issues that people are dealing with in day-to-day actualities. Whether conceiving AI as a transformative technology of the labour market and training or an economic and business sector in need of legal advice, this introduction to AI will help practitioners in tax law, labour law, competition law and intellectual property law understand what AI is, what it serves, what is the state of the art and the potential of this technology, how they can benefit from its advantages and what are the risks it presents. As the global economy continues to suffer the repercussions of a framework that was previously fundamentally self-regulatory, policymakers will recognize the urgent need to formulate rules to properly manage the future of AI.

Algorithms permeate our lives in numerous ways, performing tasks that until recently could only be carried out by humans. Artificial Intelligence (AI) technologies, based on machine learning algorithms and big-data-powered systems, can perform sophisticated tasks such as driving cars, analyzing medical data, and evaluating and executing complex financial transactions - often without active human control or supervision. Algorithms also play an important role in determining retail pricing, online advertising, loan qualification, and airport security. In this work, Martin Ebers and Susana Navas bring together a group of scholars and practitioners from across Europe and the US to analyze how this shift from human actors to computers presents both practical and conceptual challenges for legal and regulatory systems. This book should be read by anyone interested in the intersection between computer science and law, how the law can better regulate algorithmic design, and the legal ramifications for citizens whose behavior is increasingly dictated by algorithms.

We are standing on the threshold of the robotic era, the fourth industrial revolution. The undeniable impact and consequences of robotics are already raising economic concerns, such as the loss of income tax revenue as robots gradually replace human workers, as well as legal doubts regarding the possible taxation of robots or their owners. Financial law must adapt to this new reality by answering several crucial questions. Should robots pay taxes? Can they? Do they have the ability to pay? Can they be considered entrepreneurs for VAT purposes? These are just some of the many issues that Dr. Álvaro Falcón Pulido lucidly and insightfully addresses in this fascinating new monographic work, which includes an exhaustive bibliography on the subject.

This book constitutes the refereed proceedings of the 19th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2020, which was cancelled due to the COVID-19 pandemic, amalgamated with CAEPIA 2021, and held in Malaga, Spain, during September 2021. The 25 full papers presented were carefully selected from 40 submissions. The Conference of the Spanish Association of Artificial Intelligence (CAEPIA) is a biennial forum open to researchers from all over the world to present and discuss their latest scientific and technological advances in Antificial Intelligence (AI). The book is subdivided into the following topical headings: machine learning, optimization and search, and real-world applications. It covers such themes as ambient intelligence and smart environments; computer vision and robotics; constraints, search and planning; creativity and A.I.; education and A.I.; explainable and responsible A.I.; foundation, models and applications of A.I, and others.