Artificial Intelligence is a rapidly evolving technology which is surrounded by hype, misinformation and hysteria. This book will guide you through the implications and structure of existing AI technologies and provide a practical and easily digestible path to the real issues that you need to consider as a legal practitioner.
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.
Artificial Intelligence remains a complex and rapidly evolving technology. Since the second edition of this book, Generative AI models such as ChatGPT have made a seismic impact on the AI industry and society as a whole. Legislative and policy initiatives move closer to finalisation, particularly the EU's groundbreaking Artificial Intelligence Act which is likely to have a global impact on regulation of AI and machine learning systems. 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, and what makes Generative AI (and by association, foundation models) so different. 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 Third Edition contains an entirely new chapter on one of the most exciting emergent AI technologies, Generative AI. AI Ethics and the new EU Artificial Intelligence Act are also explained in depth as well as commentary on the UK's vision for AI as reflected in its 2023 AI Governance 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 - AI Ethics: A Primer Chapter Three - Generative AI Chapter Four - Causation and Artificial Intelligence Chapter Five - The EU Artificial Intelligence Act Chapter Six - Big Data and Artificial Intelligence Chapter Seven - Automated Facial Recognition Chapter Eight - Intellectual Property Rights in AI Systems Chapter Nine - Automated Bias and Discrimination Chapter Ten - AI Crime: Commission and Judgment Chapter Eleven - Market Distorting Effects: AI and Competition Law Chapter Twelve - Automation and Service Provision Chapter Thirteen - Artificial Intelligence and Corporate Law Chapter Fourteen - Political, Regulatory and Industry Responses
This book describes how text analytics and computational models of legal reasoning will improve legal IR and let computers help humans solve legal problems.
AI has increasingly captured the hearts, minds, and works of industry and the law. Big law knowledge professionals are scrambling to develop processes that revolutionize efficiency and empower their firms to make decisions based on both hard data and legal acumen. Their clients are forcing it. But just how much, and "which much", of legal process is going to be eaten, improved, or scaled up by AI and big data? How much is hype? Facts are increasingly rare in the marketing-driven boundary zone between AI and the law. That rarity provoked this work.On Legal AI is perhaps the first fact-based attempt to map the territory between AI and the law. While grounding the conversation in hard theory, Joshua Walker takes the reader through a flurry of (interstitially entertaining) real world examples to resolve on a single "recipe" for developing legal AI, and making AI "legal". This book is designed to help attorneys, students, and myriad others navigate our new reality successfully . . . because our "new reality" is already here. On Legal AI will aid readers in becoming far more productive and valuable to enterprise and government by specifically illustrating how to leverage practical legal automation, and how to avoid falling prey to its dangers. It seeks to marry the best mores and methods from law, computer science, and design-in time to catch the present wave of opportunity.
This book addresses the role of public policy in regulating the autonomous artificial intelligence and related civil liability for damage caused by the robots (and any form of artificial intelligence). It is a very timely book, focusing on the consequences of judgment proofness of autonomous decision-making on tort law, risk and safety regulation, and the incentives stemming from these. This book is extremely important as regulatory endeavours concerning AI are in their infancy at most, whereas the industry’s development is continuing in a strong way. It is an important scientific contribution that will bring scientific objectivity to a, to date, very one-sided academic treatment of legal scholarship on AI.
Artificial Intelligence (AI) has augmented human activities and unlocked opportunities for many sectors of the economy. It is used for data management and analysis, decision making, and many other aspects. As with most rapidly advancing technologies, law is often playing a catch up role so the study of how law interacts with AI is more critical now than ever before. This book provides a detailed qualitative exploration into regulatory aspects of AI in industry. Offering a unique focus on current practice and existing trends in a wide range of industries where AI plays an increasingly important role, the work contains legal and technical analysis performed by 15 researchers and practitioners from different institutions around the world to provide an overview of how AI is being used and regulated across a wide range of sectors, including aviation, energy, government, healthcare, legal, maritime, military, music, and others. It addresses the broad range of aspects, including privacy, liability, transparency, justice, and others, from the perspective of different jurisdictions. Including a discussion of the role of AI in industry during the Covid-19 pandemic, the chapters also offer a set of recommendations for optimal regulatory interventions. Therefore, this book will be of interest to academics, students and practitioners interested in technological and regulatory aspects of AI.
AI appears to disrupt key private law doctrines, and threatens to undermine some of the principal rights protected by private law. The social changes prompted by AI may also generate significant new challenges for private law. It is thus likely that AI will lead to new developments in private law. This Cambridge Handbook is the first dedicated treatment of the interface between AI and private law, and the challenges that AI poses for private law. This Handbook brings together a global team of private law experts and computer scientists to deal with this problem, and to examine the interface between private law and AI, which includes issues such as whether existing private law can address the challenges of AI and whether and how private law needs to be reformed to reduce the risks of AI while retaining its benefits.
