In the Internet of Things (IoT) era, online activities are no longer limited to desktop or laptop computers, smartphones and tablets. Instead, these activities now include ordinary tasks, such as using an internet-connected refrigerator or washing machine. At the same time, the IoT provides unlimited opportunities for household objects to serve as surveillance devices that continually monitor, collect and process vast quantities of our data. In this work, Stacy-Ann Elvy critically examines the consumer ramifications of the IoT through the lens of commercial law and privacy and security law. The book provides concrete legal solutions to remedy inadequacies in the law that will help usher in a more robust commercial law of privacy and security that protects consumer interests.

Elvy explores the consumer ramifications of the Internet of Things through the lens of the commercial law of privacy and security.

Internet of Things and the Law: Legal Strategies for Consumer-Centric Smart Technologies is the most comprehensive and up-to-date analysis of the legal issues in the Internet of Things (IoT). For decades, the decreasing importance of tangible wealth and power – and the increasing significance of their disembodied counterparts – has been the subject of much legal research. For some time now, legal scholars have grappled with how laws drafted for tangible property and predigital ‘offline’ technologies can cope with dematerialisation, digitalisation, and the internet. As dematerialisation continues, this book aims to illuminate the opposite movement: rematerialisation, namely, the return of data, knowledge, and power within a physical ‘smart’ world. This development frames the book’s central question: can the law steer rematerialisation in a human-centric and socially just direction? To answer it, the book focuses on the IoT, the sociotechnological phenomenon that is primarily responsible for this shift. After a thorough analysis of how existing laws can be interpreted to empower IoT end users, Noto La Diega leaves us with the fundamental question of what happens when the law fails us and concludes with a call for collective resistance against ‘smart’ capitalism.

The Internet of Things (IoT): Legal Issues, Policy, and Practical Strategies addresses the use of IoT technology in cars, health tech, and drones; IoT and technological developments such as 5G and blockchain; current state of laws and regulations relating to the IoT both in the U.S. and globally; risks, including security and privacy issues; how state attorneys general protect consumers in the IoT era; the impact of the IoT on intellectual property and insurance; guidelines for employers, including corporate counsel, regarding the IoT in the workplace; and the future of the IoT.

The purpose of this book is to discuss the trends and key drivers of Internet of Things (IoT) and artificial intelligence (AI) for automation in Industry 4.0. IoT and AI are transforming the industry thus accelerating efficiency and forging a more reliable automated enterprise. AI-driven IoT systems for Industry 4.0 explore current research to be carried out in the cutting-edge areas of AI for advanced analytics, integration of industrial IoT (IIoT) solutions and Edge components, automation in cyber-physical systems, world leading Industry 4.0 frameworks and adaptive supply chains, etc. A thorough exploration of Industry 4.0 is provided, focusing on the challenges of digital transformation and automation. It covers digital connectivity, sensors, and the integration of intelligent thinking and data science. Emphasizing the significance of AI, the chapter delves into optimal decision-making in Industry 4.0. It extensively examines automation and hybrid edge computing architecture, highlighting their applications. The narrative then shifts to IIoT and edge AI, exploring their convergence and the use of edge AI for visual insights in smart factories. The book concludes by discussing the role of AI in constructing digital twins, speeding up product development lifecycles, and offering insights for decision-making in smart factories. Throughout, the emphasis remains on the transformative impact of deep learning and AI in automating and accelerating manufacturing processes within the context of Industry 4.0. This book is intended for undergraduates, postgraduates, academicians, researchers, and industry professionals in industrial and computer engineering.

The field of artificial intelligence (AI) has made tremendous advances in the last two decades, but as smart as AI is now, it is getting smarter and becoming more autonomous. This raises a host of challenges to current legal doctrine, including whether AI/algorithms should count as ‘speech’, whether AI should be regulated under antitrust and criminal law statutes, and whether AI should be considered as an agent under agency law or be held responsible for injuries under tort law. This book contains chapters from US and international law scholars on the role of law in an age of increasingly smart AI, addressing these and other issues that are critical to the evolution of the field.