Subject Bibliography in Law: AI and Law

Law today is incomplete, inaccessible, unclear, underdeveloped, and often perplexing to those whom it affects. In The Legal Singularity, Abdi Aidid and Benjamin Alarie argue that the proliferation of artificial intelligence-enabled technology - and specifically the advent of legal prediction - is on the verge of radically reconfiguring the law, our institutions, and our society for the better. Revealing the ways in which our legal institutions underperform and are expensive to administer, the book highlights the negative social consequences associated with our legal status quo. Given the infirmities of the current state of the law and our legal institutions, the silver lining is that there is ample room for improvement. With concerted action, technology can help us to ameliorate the problems of the law and improve our legal institutions. Inspired in part by the concept of the "technological singularity," The Legal Singularitypresents a future state in which technology facilitates the functional "completeness" of law, where the law is at once extraordinarily more complex in its specification than it is today, and yet operationally, the law is vastly more knowable, fairer, and clearer for its subjects. Aidid and Alarie describe the changes that will culminate in the legal singularity and explore the implications for the law and its institutions.

Artificial Intelligence remains a complex and rapidly evolving technology. Since the first edition of this book there have been a number of significant legislative and policy initiatives which are beginning to shape the nascent approaches that international regulators will adopt when regulating the use of machine learning and AI. In a fast moving specialist area, it is essential to keep pace. If you are lost and need clear direction, 'Artificial Intelligence - The Practical Legal Issues' will guide you through the policy updates and implications of existing AI technologies and provide a practical and easily digestible path to the real issues you need to consider as a legal practitioner. This book contains a grounding of what differentiates artificially intelligent systems from traditional technology and explains the differences between AI, Machine Learning and Deep Learning. Understanding what AI systems can and cannot do is also essential to developing a clear legal awareness of the technology. From these introductory foundations, you'll learn how the deployment of AI technology creates issues and risks that need to be considered carefully and that permeate across causation, intellectual property ownership, confidentiality and data protection, recruitment and even criminal law. This 2nd Edition contains an entirely new chapter on one of the most exciting emergent AI technologies, Automated Facial Recognition, which led to the UK's first Court of Appeal AI judgment in 2020 - R v South Wales Police. Recent developments in the fields of Open Data, the patenting of AI inventions and MLOps are also discussed, as well as the European Union's new grand vision for AI as reflected in its February 2020 White Paper. ABOUT THE AUTHOR John Buyers is a commercial solicitor and partner at Osborne Clarke LLP, an international law firm which specialises in advising high technology clients, or businesses that are transitioning through a process of digitalisation. John manages the UK Commercial team and leads Osborne Clarke's international Artificial Intelligence and Machine Learning group. He is a frequent commentator on the topic of Artificial Intelligence and the law and speaks regularly both in the UK and internationally on the subject. John's practice is largely based on transactional IT and outsourcing in the Financial Services and regulated Professional Services sectors. He regularly advises users and suppliers of Artificial Intelligence based systems. Recent work has included advising a global technology business on the legal implications of automated facial recognition in Europe and providing guidance to a major social media network on the discriminatory effects of automated content takedown. CONTENTS Chapter One - An Introduction to Artificially Intelligent Systems Chapter Two - Causation and Artificial Intelligence Chapter Three - Big Data and Artificial Intelligence Chapter Four - Automated Facial Recognition Chapter Five - Intellectual Property Rights in AI Systems Chapter Six - Automated Bias and Discrimination Chapter Seven - AI Crime: Commission and Judgment Chapter Eight - Market Distorting Effects: AI and Competition Law Chapter Nine - Sector Specific Considerations Chapter Ten - Automation and AI Service Provision Chapter Eleven - Artificial Intelligence and Corporate Law Chapter Twelve - Political, Regulatory and Industry Responses

Should we regulate artificial intelligence? Can we? From self-driving cars and high-speed trading to algorithmic decision-making, the way we live, work, and play is increasingly dependent on AI systems that operate with diminishing human intervention. These fast, autonomous, and opaque machines offer great benefits - and pose significant risks. This book examines how our laws are dealing with AI, as well as what additional rules and institutions are needed - including the role that AI might play in regulating itself. Drawing on diverse technologies and examples from around the world, the book offers lessons on how to manage risk, draw red lines, and preserve the legitimacy of public authority. Though the prospect of AI pushing beyond the limits of the law may seem remote, these measures are useful now - and will be essential if it ever does.

This is the first professional academic work in China to discuss artificial intelligence and blockchain together. Artificial intelligence is a productivity revolution, and its development has a significant and profound impact on global changes. However, at the same time, its development also brings a series of challenges to human society, such as privacy, security, and fairness issues. Therefore, the significance of blockchain is even more prominent. Blockchain is a revolution in production relations, which will propose important solutions to the challenges of privacy, security, and fairness that arise after the development of artificial intelligence. The book not only discusses the problems currently faced by the development of artificial intelligence, as well as the new opportunities and challenges that artificial intelligence brings to future global governance, but also explains the further development direction of the intelligent revolution from the perspective of blockchain.

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.

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.  

This textbook offers a starting point for the education of attorneys and other legal professionals about the potential impact of artificial intelligence (AI) on the law, as well as a forum for discussing artificial intelligence's legal and ethical concerns. Intended for classroom use, this book will help students, legal professionals and policymakers alike. AI is swiftly transforming the world, including the legal system. Legal applications to areas such as ethics, human rights, climate change, labor law, health, social protection, inequality, lethal autonomous weapons, the criminal justice system and autonomous vehicles, contract drafting, legal investigation, criminal analysis and evidence investigation, utilize AI. As AI becomes more sophisticated, its impact on the law will likely increase.

This book examines the ever-increasing impact of technology on our lives and explores a range of legal and constitutional questions that this raises. It considers the extent to which concepts such as 'cyberspace' and 'digital rights' advance or undermine our understanding of this development and proposes a number of novel approaches to the effective protection of our rights in this rapidly evolving environment. Finally, it shows how the abuse of the adjective digital has demoted legal rights into subjective and individual claims. The work will be of particular interest to scholars of privacy, artificial intelligence and free speech, as well as policymakers and the general reader.

Algorithms influence every facet of modern life: criminal justice, education, housing, entertainment, elections, social media, news feeds, work... the list goes on. Delegating important decisions to machines, however, gives rise to deep moral concerns about responsibility, transparency, freedom, fairness, and democracy. Algorithms and Autonomy connects these concerns to the core human value of autonomy in the contexts of algorithmic teacher evaluation, risk assessment in criminal sentencing, predictive policing, background checks, news feeds, ride-sharing platforms, social media, and election interference. Using these case studies, the authors provide a better understanding of machine fairness and algorithmic transparency. They explain why interventions in algorithmic systems are necessary to ensure that algorithms are not used to control citizens' participation in politics and undercut democracy. This title is also available as Open Access on Cambridge Core.

The convergence of Artificial Intelligence (AI) in blockchain creates one of the world's most reliable technology-enabled decision-making systems that is virtually tamper-proof and provides solid insights and decisions. The integration of AI and Blockchain affects many aspects from food supply chain logistics and healthcare record sharing to media royalties and financial security. It is imperative that regulatory standards are emphasized in order to support positive outcomes from the integration of AI in blockchain technology. Regulatory Aspects of Artificial Intelligence on Blockchain provides relevant legal and security frameworks and the latest empirical research findings in blockchain and AI. Through the latest research and standards, the book identifies and offers solutions for overcoming legal consequences that pertain to the application of AI into the blockchain system, especially concerning the usage of smart contracts. The chapters, while investigating the legal and security issues associated with these applications, also include topics such as smart contacts, network vulnerability, cryptocurrency, machine learning, and more. This book is essential for technologists, security analysts, legal specialists, privacy and data security practitioners, IT consultants, standardization professionals, researchers, academicians, and students interested in blockchain and AI from a legal and security viewpoint.

This book examines the timely issue of artificial intelligence (AI) and law. At this moment, AI is rapidly developing and being utilized in many different sectors. Meanwhile, the rise of AI raises complex questions and poses new challenges--new products and services involving AI will require new regulations and standards to minimize potential negative side-effects and maximize the benefits of this new technology, both within domestic law and international law. Thus, this book focuses on the impact of AI on international law and seeks ways to develop international law frameworks to adequately address the challenges of the AI era. In this context, new forms of inter-state conflicts and emergence of new subjects and objects of international law are discussed along with relevant up-to-date developments in major jurisdictions. Issues arising from the advent of AI relating to state sovereignty, state responsibility, dispute settlements, and north-south divide are also considered. 

This book analyses the phenomenon of digitally mediated property and considers how it problematises the boundary between human and nonhuman actors. The book addresses the increasingly porous border between personhood and property in digitized settings and considers how the increased commodification of knowledge makes visible a rupture in the liberal concept of the property owning, free, person. Engaging with the latest work in posthumanist and new materialist theory, it shows, how property as a concept as well as a means for control, changes fundamentally under advanced capitalism. Such change is exemplified by the way in which data, as an object of commodification, is extracted from human activities yet is also directly used to affectively control - or nudge - humans. Taking up a range of human engagements with digital platforms and coded architectures, as well as the circulation of affects through practices of artificial intelligence that are employed to shape behaviour, the book argues that property now needs to be understood according to an ecology of human as well as nonhuman actors. The idea of posthuman property, then, offers both a means to critique property control through digital technologies, as well as to move beyond the notion of the self-owning, object-owning, human. Engaging the most challenging contemporary technological developments, this book will appeal to researchers in the areas of Law and Technology, Legal Theory, Intellectual Property Law, Legal Philosophy, Sociology of Law, Sociology, and Media Studies.

What effect do robots, algorithms, and online platforms have on the world of work? Using case studies and examples from across the EU, the UK, and the US, this book provides a compass to navigate this technological transformation as well as the regulatory options available, and proposes a new map for the era of radical digital advancements. From platform work to the gig-economy and the impact of artificial intelligence, algorithmic management, and digital surveillance on workplaces, technology has overwhelming consequences for everyone's lives, reshaping the labour market and straining social institutions. Contrary to preliminary analyses forecasting the threat of human work obsolescence, the book demonstrates that digital tools are more likely to replace managerial roles and intensify organisational processes in workplaces, rather than opening the way for mass job displacement. Can flexibility and protection be reconciled so that legal frameworks uphold innovation? How can we address the pervasive power of AI-enabled monitoring? How likely is it that the gig-economy model will emerge as a new organisational paradigm across sectors? And what can social partners and political players do to adopt effective regulation? Technology is never neutral. It can and must be governed, to ensure that progress favours the many. Digital transformation can be an essential ally, from the warehouse to the office, but it must be tested in terms of social and political sustainability, not only through the lenses of economic convenience. Your Boss Is an Algorithm offers a guide to explore these new scenarios, their promises, and perils.

The book deals with digital technology which is transforming the landscape of dispute resolution. It illustrates the application of AI in the legal field and shows the future prospect of robo-justice for an AAI society in the advanced artificial intelligence era. In other words, the present justice system and the influence of current AI upon courts and arbitration are investigated. The transforming role of AI on all legal fields is examined thoroughly by giving answers concerning AI legal personality and liability. The analysis shows that digital technology is generating an ever-growing number of disputes and at the same time is challenging the effectiveness and reach of traditional dispute resolution avenues. To that extent, the book presents in tandem the impact of AI upon courts and arbitration, and reveals the role of AAI in generating a new robo-justice system. Finally, the end of the perplexing relation of courts and arbitration is evidenced methodically and comprehensively.  

This book offers a phenomenological perspective on the criminal law debate on robots. Today, robots are protected in some form by criminal law. A robot is a person's property and is protected as property. This book presents the different rationale for protecting robots beyond the property justification based on the phenomenology of human-robot interactions. By focusing on robots that have bodies and act in the physical world in social contexts, the work provides an assessment of the issues that emerge from human interaction with robots, going beyond perspectives focused solely on artificial intelligence (AI). Here, a phenomenological approach does not replace ontological concerns, but complements them. The book addresses the following key areas: Regulation of robots and AI; Ethics of AI and robotics; and philosophy of criminal law. It will be of interest to researchers and academics working in the areas of Criminal Law, Technology and Law and Legal Philosophy.

This book examines the ever-increasing impact of technology on our lives and explores a range of legal and constitutional questions that this raises. It considers the extent to which concepts such as 'cyberspace' and 'digital rights' advance or undermine our understanding of this development and proposes a number of novel approaches to the effective protection of our rights in this rapidly evolving environment. Finally, it shows how the abuse of the adjective digital has demoted legal rights into subjective and individual claims. The work will be of particular interest to scholars of privacy, artificial intelligence and free speech, as well as policymakers and the general reader.

In this comprehensive book, scholars critically examine how AI systems may impact Belgian law. While specific topics of Belgian private and public law are thoroughly addressed, the book also provides a general overview of a number of regulatory and ethical AI evolutions and tendencies in the European Union. In this second edition various chapters have been updated to reflect recent developments in the field. Two chapters covering media law and competition law have also been added.

AI in combination with other innovative technologies promises to bring unprecedented opportunities to all aspects of life. These technologies, however, hold great dangers, especially for the manipulation of the human mind, which have given rise to serious ethical concerns. Apart from some sectoral regulatory efforts to address these concerns, no regulatory framework for AI has yet been adopted though in 2021 the European Commission of the EU published a draft Act on Artificial Intelligence and UNESCO followed suit with a Recommendation on the Ethics of Artificial Intelligence. The book contextualises the future regulation of AI, specifically addressing the regulatory challenges relating to the planned prohibition of the use of AI systems that deploy subliminal techniques. The convergence of AI with various related technologies, such as brain-computer interfaces, functional magnetic resonance imaging, robotics and big data, already allows for "mind reading" or "dream hacking" through brain spyware, as well as other practices that intrude on cognition and the right to freedom of thought. Future innovations will enhance the possibilities for manipulating thoughts and behaviour, and they threaten to cause serious harm to individuals as well as to society as a whole. The issue of subliminal perception and the ability to deceive and manipulate the mind below the threshold of awareness causes severe difficulties for law and democracy and raises important questions for the future of society. This book shows how cognitive, technological, and legal questions are intrinsically interwoven, and aims to stimulate an urgently needed transdisciplinary and transnational debate between students, academics, practitioners, policymakers and citizens interested not only in the law but also in disciplines including computer science, neuroscience, sociology, political science, marketing and psychology.

The technology and application of artificial intelligence (AI) throughout society continues to grow at unprecedented rates, which raises numerous legal questions that to date have been largely unexamined. Although AI now plays a role in almost all areas of society, the need for a better understanding of its impact, from legal and ethical perspectives, is pressing, and regulatory proposals are urgently needed. This book responds to these needs, identifying the issues raised by AI and providing practical recommendations for regulatory, technical, and theoretical frameworks aimed at making AI compatible with existing legal rules, principles, and democratic values. An international roster of authors including professors of specialized areas of law, technologists, and practitioners bring their expertise to the interdisciplinary nature of AI.

The Research Handbook on Health, AI and the Lawexplores the use of AI in healthcare, identifying the important laws and ethical issues that arise from its use. Adopting an international approach, it analyses the varying responses of multiple jurisdictions to the use of AI and examines the influence of major religious and secular ethical traditions. Bringing together a diverse range of carefully selected legal experts, the Research Handbook critically assesses the different uses of AI in healthcare and its promise to provide greater accuracy for healthcare professionals and patients by diagnosing diseases and detecting illness earlier and helping hospitals run more efficiently. It also highlights a series of legal and ethical challenges AI raises relating to bias, privacy, data security, medical liability, informed consent and intellectual property. AI governance is rigorously examined in countries across the globe spanning Asia, Europe and the US while different responses from international organisations towards AI in healthcare are also evaluated. This Research Handbook is a key resource for scholars and law students and for those interested in current and developing legal paradigms. Its legal and practical dimensions will also be beneficial to lawyers practising in health law and internet and technology law, policymakers and medical professionals.

This incisive Handbook offers novel theoretical and doctrinal insights alongside practical guidance on some of the most challenging issues in the field of artificial intelligence and intellectual property. Featuring all original contributions from a diverse group of international thought leaders, including top academics, judges, regulators and eminent practitioners, it offers timely perspectives and research on the relationship of AI to copyright, trademark, design, patent and trade secret law. The Handbook is divided into four thematic parts, beginning with topics that address the intersection of IP and AI broadly before focusing on issues associated with specific types of IP. Chapters tackle critical legal questions, from issues with protecting AI-generated ourput to the impact of AI on how trademarks are used, offering valuable lessons on technology regulation and how technological evolution will disrupt existing legal frameworks. Scholars and students of intellectual property law and its intersections with AI and related technologies will find this Handbook 's cutting-edge contributions to be a crucial read. Its guidance on the practical legal implications of technological advances will also be of interest to IP practitioners, as well as policymakers and regulators.