Determann's Field Guide to Artificial Intelligence Law


Book Description

With Determann’s Field Guide to Artificial Intelligence Law, readers can navigate a complex field traversing new technologies, business models, risks, rights, and legal issues. The author presents practical recommendations in a user-friendly and accessible format, designed to help organizations build and maintain their AI compliance and risk mitigation programs. A leading voice on data and technology law, Lothar Determann discusses existing and new laws pertaining to AI around the world and examines distinct advantages of different governance models.




An Introductory Guide to Artificial Intelligence for Legal Professionals


Book Description

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.




Determann’s Field Guide to Data Privacy Law


Book Description

Companies, lawyers, privacy officers, compliance managers, as well as human resources, marketing and IT professionals are increasingly facing privacy issues. While plenty of information is freely available, it can be difficult to grasp a problem quickly, without getting lost in details and advocacy. This is where Determann’s Field Guide to Data Privacy Law comes into its own – identifying key issues and providing concise practical guidance for an increasingly complex field shaped by rapid change in international laws, technology and society




International Handbook of Blockchain Law


Book Description

Blockchain’s significant advances since 2020 – including a plethora of new use cases – have necessitated a comprehensive revision of the first edition of this matchless resource. While new chapters and topics have been added, the handbook still follows the systematic and structured approach of the first edition. Each contributor – all of them practitioners experienced with blockchain projects within their respective areas of expertise and specific jurisdictions – elucidates the implications of blockchain technology and related legal issues under such headings as the following: understanding blockchain from a technological point of view; regulatory aspects of blockchain; smart contracts; data privacy; capital markets; crypto asset regulation in Europe, the UK and the US; intellectual property; and antitrust law. The foundational chapter on the technical aspects of blockchain technology has been meticulously expanded to elucidate the proof of stake consensus mechanism alongside fresh insights into the ERC-721 Token Standard for non-fungible tokens, decentralized exchanges, staking, stablecoins, and central bank digital currencies. As blockchain law cements itself as a distinct legal field, this new edition is poised to be an invaluable asset for legal practitioners, in-house lawyers, IT professionals, consultancy firms, blockchain associations, and legal scholars. At a depth that allows non-IT experts to understand the groundwork for legal assessments, the handbook provides those charting the dynamic waters of this field of law with a compass, ensuring they are well-equipped to tackle the legal issues raised by the usage of blockchain technology.




Artificial Intelligence Law


Book Description

It is inevitable, given the enormous media-driven concern generated by the recent application of artificial intelligence (AI) to an ever-expanding spectrum of day-to-day human experience, that the need for a clearly articulated legal response has become imperative. This book both clarifies the controversial issues surrounding the use of AI and explores in great detail how, far from being “unregulated,” the creation, distribution, and operation of AI systems currently is, and will remain, subject to a vast array of existing laws and regulations all over the world. Demonstrating beyond any doubt that the traditional concepts of legal responsibility, including duty of care, negligence, and compensation for damages, will always be applicable to those humans who create and/or use artificially intelligent things or systems, the author shows how AI systems are clearly implicated in numerous existing legal regimes, including the following: relevant provisions under international law and EU law; applicable provisions in the laws of the United States, the United Kingdom, France, China, India, Japan, South Korea, and Singapore; and numerous national provisions in the legal fields of health and safety, intellectual property, competition, privacy and data protection, and military engagement. However, given the lack of international consensus on this vitally important issue, the author suggests that any worldwide agreement on the legal responsibilities relating to the use of AI will need to be carefully defined, and that provisions will need to be reviewed to determine how they will apply to any new range of artificially intelligent creations. The purpose of this book is to review those legal concepts, throughout the world, that currently govern the application of AI and to comment on modifications or extensions of the rule of law that are being proposed as necessary to serve and protect humanity in relation to the expanding applications of AI. It is important that anyone who uses or is affected by AI products understands the relationship between existing laws and regulations in major markets around the world and those areas where initial regulations may be required. For them, for their counsel, and for the various policy and regulatory authorities confronted with AI issues, this book will prove an essential guide.




Regulating Artificial Intelligence


Book Description

This book assesses the normative and practical challenges for artificial intelligence (AI) regulation, offers comprehensive information on the laws that currently shape or restrict the design or use of AI, and develops policy recommendations for those areas in which regulation is most urgently needed. By gathering contributions from scholars who are experts in their respective fields of legal research, it demonstrates that AI regulation is not a specialized sub-discipline, but affects the entire legal system and thus concerns all lawyers. Machine learning-based technology, which lies at the heart of what is commonly referred to as AI, is increasingly being employed to make policy and business decisions with broad social impacts, and therefore runs the risk of causing wide-scale damage. At the same time, AI technology is becoming more and more complex and difficult to understand, making it harder to determine whether or not it is being used in accordance with the law. In light of this situation, even tech enthusiasts are calling for stricter regulation of AI. Legislators, too, are stepping in and have begun to pass AI laws, including the prohibition of automated decision-making systems in Article 22 of the General Data Protection Regulation, the New York City AI transparency bill, and the 2017 amendments to the German Cartel Act and German Administrative Procedure Act. While the belief that something needs to be done is widely shared, there is far less clarity about what exactly can or should be done, or what effective regulation might look like. The book is divided into two major parts, the first of which focuses on features common to most AI systems, and explores how they relate to the legal framework for data-driven technologies, which already exists in the form of (national and supra-national) constitutional law, EU data protection and competition law, and anti-discrimination law. In the second part, the book examines in detail a number of relevant sectors in which AI is increasingly shaping decision-making processes, ranging from the notorious social media and the legal, financial and healthcare industries, to fields like law enforcement and tax law, in which we can observe how regulation by AI is becoming a reality.




Research Handbook on the Law of Artificial Intelligence


Book Description

The field of artificial intelligence has made tremendous advances in the last few decades, but as smart as AI is now, it is getting exponentially smarter and becoming more autonomous in its actions. This raises a host of challenges to current legal doctrine, including whether the output of AI entities should count as 'speech', the extent to which AI should be regulated under antitrust and criminal law statutes, and whether AI should be considered an independent agent and responsible for its actions under the law of tort or agency. Containing chapters written by leading U.S., EU, and International law scholars, the Research Handbookpresents current law, statutes, and regulations on the role of law in an age of increasingly smart AI, addressing issues of law that are critical to the evolution of AI and its role in society. To provide a broad coverage of the topic, the Research Handbookdraws upon free speech doctrine, criminal law, issues of data protection and privacy, legal rights for increasingly smart AI systems, and a discussion of jurisdiction for AI entities that will not be 'content' to stay within the geographical boundaries of any nation state or be tied to a particular physical location. Using numerous examples and case studies, the chapter authors discuss the political and jurisdictional decisions that will have to be made as AI proliferates into society and transforms our government and social institutions. The Research Handbookwill also introduce designers of artificially intelligent systems to the legal issues that apply to the make-up and use of AI from the technologies, algorithms, and analytical techniques. This essential guide to the U.S., EU, and other International law, regulations, and statutes which apply to the emerging field of 'law and AI' will be a valuable reference for scholars and students interested in information and intellectual property law, privacy, and data protection as well as to legal theorists and social scientists who write about the future direction and implications of AI. The Research Handbookwill also serve as an important reference for legal practitioners in different jurisdictions who may litigate disputes involving AI, and to computer scientists and engineers actively involved in the design and use of the next generation of AI systems. Contributors include: W. Barfield, S. Bayern, S.J. Blodgett-Ford, R.G.A. Bone, T. Burri, A. Chin, J.A. Cubert, M. de Cock Buning, S. De Conca, S-.A. Elvy, A. Ezrachi, R. Leenes, Y. Lev-Aretz, A.R. Lodder, R.P. Loui, T.M. Massaro, L.T. McCarty, J.O. McGinnis, F. Moslein, H. Norton, N. Packin, U. Pagallo, S. Quattrocolo, W. Samore, F. Shimpo, M.E. Stucke, R. van den Hoven van Genderen, L. Vertinsky, A. von Ungern-Sternberg, J.F. Weaver, Y-.H. Weng, I. Wildhaber




Law and Artificial Intelligence


Book Description

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.




Artificial Intelligence and the Law


Book Description

"In shifting technological and regulatory quicksands, this book offers a toolkit for harnessing AI in the practice of law and for optimizing AI by society as a whole. This is ... [a] study of how AI will dramatically affect the law, both as a profession and a regulatory domain, as well as society at large. The urgency for this guide stems from the gap between the transformative forces of AI, on the one hand, and the lagging grasp by key stakeholders of the capabilities, limitations and effects of AI, on the other. To fill this knowledge gap, the book will equip all stakeholders in the AI discourse, including lawyers, academia, government, civil society and business, with specific tools to withstand the incoming AI wave. To practicing lawyers in most areas of the law, the book will serve as a practice manual of current and foreseeable technical capabilities of AI. For academia, there are specific recommendations that law schools and related academic settings may consider in adapting their role to the exigencies of an AI-powered future. To government and public policymakers, the book presents examples and options for AI governance that policymakers can use in their legislative and outreach efforts. To civil society, it proposes a framework for understanding AI's ethical, legal, political and socio-economic implications. To business, the book offers a risk assessment matrix for the operationalization of AI"-- Back cover.




Artificial Intelligence Law


Book Description

This legal research guide undertakes to highlight pending and current federal legislation, including federal statutes that first dealt with AI, such as the John S. McCain National Defense Authorization Act for Fiscal Year 2019, which incorporated the first definition of AI in a federal statute; and the National Artificial Intelligence Act of 2020, part of the William M. Thornberry National Defense Authorization Act (NDAA) for Fiscal Year 2021. Moreover, the numerous federal agencies, bureaus, departments, and organizations of the Executive Branch of government which deal with AI are detailed along with any federal case law. Of course, state laws and regulations as well as international law are detailed, particularly the ever-increasing actions by the European Union to regulate AI, especially as it concerns data privacy issues of individuals. Apart from legislative analysis regarding AI, the researcher must bear in mind the historical context of AI, or intelligent machines, dating back to at least the 1940s with the British mathematician and logician Alan M. Turing, OBE and his Turing machine considered a basic computer, as well as the speculative fiction author and biochemist Isaac Asimov and his book I, Robot, published in 1950. However, the actual term "artificial intelligence" historically "was coined at the Dartmouth Summer Research Project on Artificial Intelligence" by being "proposed in 1955" and then held the following year." --