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

Unveiling the future: Navigating AI's Intricate Intersection with International Law – A Journey Beyond Hype and Governance KEY FEATURES ● Comprehensive overview of AI ethics and international law. ● Exploration of pragmatic approaches to AI governance. ● Navigation of global legal dynamics. ● Soft law recommendations for responsible AI development. DESCRIPTION Dive into the dynamic realm of AI governance with this groundbreaking book. Offering cutting-edge insights, it explores the intricate intersection of artificial intelligence and international law. Readers gain invaluable perspectives on navigating the evolving AI landscape, understanding global legal dynamics, and delving into the nuances of responsible AI governance. Packed with pragmatic approaches, the book is an essential guide for professionals, policymakers, and scholars seeking a comprehensive understanding of the multifaceted challenges and opportunities presented by AI in the global legal arena. The book begins by examining the fundamental concepts of AI ethics and its recognition within international law. It then delves into the challenges of governing AI in a rapidly evolving technological landscape, highlighting the need for pragmatic and flexible approaches to AI regulation. Subsequent chapters explore the diverse perspectives on AI classification and recognition, from legal visibility frameworks to the ISAIL Classifications of Artificial Intelligence. The book also examines the far-reaching implications of Artificial General Intelligence (AGI) and digital colonialism, addressing the ethical dilemmas and potential dangers of these emerging technologies. In conclusion, the book proposes a path toward self-regulation and offers soft law recommendations to guide the responsible development and deployment of AI. It emphasizes the importance of international cooperation and collaboration in addressing the ethical and legal challenges posed by AI, ensuring that AI's transformative power is harnessed for the benefit of all humanity. WHAT YOU WILL LEARN ● Understand AI's impact on global legal frameworks. ● Navigate complexities of AI governance and responsible practices. ● Explore innovative AI applications and economic dimensions. ● Grasp legal visibility, privacy doctrines, and classification methods. ● Assess the evolution from Narrow AI to AGI and digital colonialism. ● Gain insights into self-regulation and the future of AI. WHO THIS BOOK IS FOR This book is tailored for professionals, policymakers, and scholars seeking a comprehensive understanding of AI's intersection with international law. While no specific prerequisites are necessary, a foundational awareness of AI concepts and legal frameworks will enhance the reader's engagement with the material. TABLE OF CONTENTS SECTION 1: Introduction 1. Artificial Intelligence and International Law SECTION 2: Technology Governance 2. Pragmatism in Governing AI 3. The Innovation and Economics of AI SECTION 3: Classification and Recognition of Artificial Intelligence 4. Legal Visibility 5. The Privacy Doctrine 6. The ISAIL Classifications of Artificial Intelligence SECTION 4: Artificial Intelligence in a Multi-polar World 7. AGI and Digital Colonialism 8. Self-Regulating the Future of 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.

In Artificial Intelligence: Robot Law, Policy and Ethics, Dr. Nathalie Rébé discusses the legal and contemporary issues in relation to creating conscious robots. This book provides an in-depth analysis of the existing regulatory tools, as well as a new comprehensive framework for regulating Strong AI.

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.

This thoroughly updated Research Handbook examines the recent exponential growth of data use in society and its implications for legal research and practice. It explores contemporary research in the field of data science, as well as the operationalization of data for use in healthcare, urban governance and smart household devices, among others.

A bold re-conceptualization of the fundamentals driving behavior and dynamics in cyberspace. Most cyber operations and campaigns fall short of activities that states would regard as armed conflict. In Cyber Persistence Theory, Michael P. Fischerkeller, Emily O. Goldman, and Richard J. Harknett argue that a failure to understand this strategic competitive space has led many states to misapply the logic and strategies of coercion and conflict to this environment and, thus, suffer strategic loss as a result. The authors show how the paradigm of deterrence theory can neither explain nor manage the preponderance of state cyber activity. They present a new theory that illuminates the exploitive, rather than coercive, dynamics of cyber competition and an analytical framework that can serve as the basis for new strategies of persistence. Drawing on their policy experience, they offer a new set of prescriptions to guide policymakers toward a more stable, secure cyberspace.