Artificial Intelligence and the Practice of Law: Home

This informative Handbook provides a comprehensive overview of the legal, ethical, and policy implications of AI and algorithmic systems. As these technologies continue to impact various aspects of our lives, it is crucial to understand and assess the challenges and opportunities they present. Drawing on contributions from experts in various disciplines, the book covers theoretical insights and practical examples of how AI systems are used in society today. It also explores the legal and policy instruments governing AI, with a focus on Europe. The interdisciplinary approach of this book makes it an invaluable resource for anyone seeking to gain a deeper understanding of AI's impact on society and how it should be regulated.

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.

The Law and Economics of Privacy, Personal Data, Artificial Intelligence, and Incomplete Monitoringpresents new findings and perspectives from leading international scholars on several emerging areas issues in legal and economic research. The collection contains new theoretical papers on privacy, the protection of personal data, the use of regulatory monitoring under legal standards versus rules, a study of the properties of market efficiency in securities fraud litigation, as well as an analysis of non-exclusionary price floors. It also contains an empirical paper on the relationship between uncertainty of patent approval of artificial intelligence applications and the Supreme Court's decision in Alice Corp. v. CLS Bank International. Finally, the volume features a law-and-economics assessment of the Chinese financial system within the context of the trade-off between centralized control and rapid growth. This 30th volume of Research in Law and Economicsshowcases the cutting edge theoretical and empirical findings for researchers and professionals considering these complex issues intersecting law, technology, and economics.

The technology of Artificial Intelligence is here, and moving fast, without ethical standards in place. A Blueprint for the Regulation of Artificial Intelligence Technologies leans on classical western philosophy for its ethical grounding. Values such as conscience, rights, equity, and discrimination, establish a basis for regulatory standards. Multiple international agencies with governing interests are compared.The development of ethical standards is suggested through two new non-governmental organizations (NGOs). The first is to develop standards that evolve from practice, while the second acts as an ombudsman to settle abuse. Both NGOs are envisioned to cooperate with regulators. More than seeking a perfect solution, the book aims to balance the tension between conflicting interests, with the goal to keep this dangerously wonderful technology under global human control. For that to materialize, the technology needs to have a seat on the table of global ethics. The final chapter lists fourteen thinking points to achieve an ethics balance for new technologies.-- Provided by publisher.

"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)"-- Provided by the publisher.

This book takes a comparative law and economics approach to explore the role of public and private actors in regulating generative artificial intelligence. The book provides an introduction and context for the creation of new generative AI technologies, now understood to be the chief goal of the leading AI companies. As autonomous "super-intelligences", these technologies are still an unknown entity which nevertheless have profound implications for liberal democracy, consumer choice mechanisms, mutual trust, and political legitimacy. This book explores the deep challenges posed for lawmakers and how we can achieve an optimal form of regulation and governance of such unreliable technologies. Chapters investigate possible hybrid modes of regulation, such as a co-regulatory approach between private AI companies and public actors in addressing the issue of misinformation spread. It also explores mixed types of regulation toward research on new forms of AI, arguing that different levels of systemic risk posed by different technologies must be accounted for. Different contemporary and historical contexts for the regulation of unprecedented technical innovation are also considered, and new suggestions for policy are presented.

SummaryLearn how to maximize your use of, and benefit from AI, personally and professionally while staying safe. To satisfy professionals and businesses trying to modernize their approaches to work and personal tasks, this book will explain some of the basics of what AI is, what AI is likely to look like in the near future, and how not to get stung using it. You'll quickly realize that AI isn't coming, it's here, along with its opportunities and challenges. While some of the advantages of using AI tools may seem too good to be true, you'll discover that the key to navigating the early stages of the AI era is to understand its guiding principles and then to prioritize the guidelines. The book features general situations and use cases to help you experience AI for fun and for work while retaining the benefits, profits, creations, outputs, and efficiencies of it. If you're going to use AI in your daily career, whether as a student, creative, executive, marketer or in sales this book will help you understand how to bypass obstacles and get value from AI with the guidance of an AI and tech lawyer.

"In the past decade, artificial intelligence (AI) has become a disruptive force around the world, offering enormous potential for innovation but also creating hazards and risks for individuals and the societies in which they live. This volume addresses the most pressing philosophical, ethical, legal, and societal challenges posed by AI. Contributors from different disciplines and sectors explore the foundational and normative aspects of responsible AI and provide a basis for a transdisciplinary approach to responsible AI. This work, which is designed to foster future discussions to develop proportional approaches to AI governance, will enable scholars, scientists, and other actors to identify normative frameworks for AI to allow societies, states, and the international community to unlock the potential for responsible innovation in this critical field. This book is also available as Open Access on Cambridge Core"-- Provided by publisher.

Robots are with us, but law and legal systems are not ready. This book identifies the issues posed by human-robot interactions in substantive law, procedural law, and law's narratives, and suggests how to address them. When human-robot interaction results in harm, who or what is responsible? Part I addresses substantive law, including the issues raised by attempts to impose criminal liability on different actors. And when robots perceive aspects of an alleged crime, can they be called as a sort of witness? Part II addresses procedural issues raised by human-robot interactions, including evidentiary problems arising out of data generated by robots monitoring humans, and issues of reliability and privacy. Beyond the standard fare of substantive and procedural law, and in view of the conceptual quandaries posed by robots, Part III offers chapters on narrative and rhetoric, suggesting different ways to understand human-robot interactions, and how to develop coherent frameworks to do that. This title is also available as Open Access on Cambridge Core.