Smart Technologies And The End S Of Law

This timely book tells the story of the smart technologies that reconstruct our world, by provoking their most salient functionality: the prediction and preemption of our day-to-day activities, preferences, health and credit risks, criminal intent and

This ground-breaking and timely book explores how big data, artificial intelligence and algorithms are creating new types of agency, and the impact that this is having on our lives and the rule of law. Addressing the issues in a thoughtful, cross-disciplinary manner, leading scholars in law, philosophy, computer science and politics examine the ways in which data-driven agency is transforming democratic practices and the meaning of individual choice.

The present volume, Smart Technologies and Fundamental Rights, contains fourteen outstanding and challenging articles concerning fundamental rights and Artificial Intelligence at the intersection of law, ethics and smart technologies.

Should law be technologically neutral, or should it evolve as human relationships with technology become more advanced? In Law in an Era of "Smart" Technology, Susan Brenner analyzes the complex and evolving interactions between law and technology and provides a thorough and detailed account of the law in technology at the beginning of the 21st century. Brenner draws upon recent technological advances, evaluating how developing technologies may alter how humans interact with each other and with their environment. She analyzes the development of technology as shifting from one of "use" to one of "interaction," and argues that this interchange needs us to reconceptualize our approach to legal rules, which were originally designed to prevent the "misuse" of older technologies. As technologies continue to develop over the next several decades, Brenner argues that the laws directed between human and technological relationships should remain neutral. She explains how older technologies rely on human implementation, but new "smart" technology will be completely automated. This will eventually lead to, as she explains, the ultimate progression in our relationship with technology: the fusion of human physiology and technology. Law in an Era of "Smart" Technology provides a detailed, historically-grounded explanation as to why our traditional relationship with technology is evolving and why a corresponding shift in the law is imminent and necessary.

This book introduces law to computer scientists and other folk. Computer scientists develop, protect, and maintain computing systems in the broad sense of that term, whether hardware (a smartphone, a driverless car, a smart energy meter, a laptop, or a server), software (a program, an application programming interface or API, a module, code), or data (captured via cookies, sensors, APIs, or manual input). Computer scientists may be focused on security (e.g. cryptography), or on embedded systems (e.g. the Internet of Things), or on data science (e.g. machine learning). They may be closer to mathematicians or to electrical or electronic engineers, or they may work on the cusp of hardware and software, mathematical proofs and empirical testing. This book conveys the internal logic of legal practice, offering a hands-on introduction to the relevant domains of law, while firmly grounded in legal theory. It bridges the gap between two scientific practices, by presenting a coherent picture of the grammar and vocabulary of law and the rule of law, geared to those with no wish to become lawyers but nevertheless required to consider the salience of legal rights and obligations. Simultaneously, this book will help lawyers to review their own trade. It is a volume on law in an onlife world, presenting a grounded argument of what law does (speech act theory), how it emerged in the context of printed text (philosophy of technology), and how it confronts its new, data-driven environment. Book jacket.

Privacy, Due process and the Computational Turn: The Philosophy of Law Meets the Philosophy of Technology engages with the rapidly developing computational aspects of our world including data mining, behavioural advertising, iGovernment, profiling for intelligence, customer relationship management, smart search engines, personalized news feeds, and so on in order to consider their implications for the assumptions on which our legal framework has been built. The contributions to this volume focus on the issue of privacy, which is often equated with data privacy and data security, location privacy, anonymity, pseudonymity, unobservability, and unlinkability. Here, however, the extent to which predictive and other types of data analytics operate in ways that may or may not violate privacy is rigorously taken up, both technologically and legally, in order to open up new possibilities for considering, and contesting, how we are increasingly being correlated and categorizedin relationship with due process – the right to contest how the profiling systems are categorizing and deciding about us.

This book presents groundbreaking discussions on e-residency, cryptocurrencies, scams, smart contracts, 3D printing, software agents, digital evidence and e-governance at the intersection of law, legal policies and modern technologies. The reader benefits from cutting-edge analyses that offer ideas and solutions to some of the most pressing issues caused by e-technologies. This collection is a useful tool for law and IT practitioners and an inspiring source for interdisciplinary research. Besides serving as a practical guideline, this book also reflects theoretical dimensions of future perspectives, as new technologies are not meant to change common values but to accommodate them.

This interdisciplinary textbook serves as a solid introduction to the future of legal education against the background of the widespread use of AI written by colleagues from different disciplines, e.g. law, philosophy/ethics, economy, and computer science, whose common interest concerns AI and its impact on legal and ethical issues. The book provides, first, a general overview of the effects of AI on major disciplines such as ethics, law, economy, political science, and healthcare. Secondly, it offers a comprehensive analysis of major key issues concerning law: (a) AI decision-making, (b) rights, status, and responsibility, (c) regulation and standardisation, and (d) education.