This insightful book provides a timely review of the potential threats of advertising technologies, or adtech. It highlights the need to protect internet users not only from privacy risks, but also as consumers and citizens online dealing with a highly complex technological setting. Jiahong Chen illustrates a concise overview of the technical, economic and legal aspects of adtech together with coverage of other important areas. These include: the ongoing debates around online advertising and data protection, an up-to-date analysis of the application of the GDPR, and insights into both the practices and theories of the regulation of data protection law. The book provides a clear picture of what is truly at stake with online advertising practices, concluding with a critical assessment of the current regime and a proposed approach to reform data protection laws. This book will provide essential reading for researchers and law students requiring an overview of the legal framework and current practices, alongside legal practitioners and policymakers evaluating the benefits and risks of data-driven technologies.

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, the authors examine the ways in which data-driven agency is transforming democratic practices and the meaning of individual choice. Leading scholars in law, philosophy, computer science and politics analyse the latest innovations in data science and machine learning, assessing the actual and potential implications of these technologies. They investigate how this affects our understanding of such concepts as agency, epistemology, justice, transparency and democracy, and advocate a precautionary approach that takes the effects of data-driven agency seriously without taking it for granted. Scholars and students of law, ethics and philosophy, in particular legal, political and democratic theory, will find this book a compelling and invaluable read, as will computer scientists interested in the implications of their own work. It will also prove insightful for academics and activists working on privacy, fairness and anti-discrimination. Contributors include: J.E. Cohen, G. de Vries, S. Delacroix, P. Dumouchel, C. Ess, M. Garnett, E.H. Gerding, R. Gomer, C. Graber, M. Hildebrandt, C. Maple, K. O'Hara, P. Ohm, m.c. schraefel, D. Stevens, N. van Dijk, M. Veale

Elgar Advanced Introductions are stimulating and thoughtful introductions to major fields in the social sciences and law, expertly written by the world's leading scholars. Designed to be accessible yet rigorous, they offer concise and lucid surveys of the substantive and policy issues associated with discrete subject areas. Woodrow Barfield and Ugo Pagallo present a succinct introduction to the legal issues related to the design and use of artificial intelligence (AI). Exploring human rights, constitutional law, data protection, criminal law, tort law, and intellectual property law, they consider the laws of a number of jurisdictions including the US, the European Union, Japan, and China, making reference to case law and statutes. Key features include: a critical insight into human rights and constitutional law issues which may be affected by the use of AI discussion of the concept of legal personhood and how the law might respond as AI evolves in intelligence an introduction to current laws and statutes which apply to AI and an identification of the areas where future challenges to the law may arise. This Advanced Introduction is ideal for law and social science students with an interest in how the law applies to AI. It also provides a useful entry point for legal practitioners seeking an understanding of this emerging field.

This timely book presents a detailed analysis of the role of law and regulation in the utilisation of Artificial Intelligence (AI) in the media sector. As well as contributing to the wider discussion on law and AI, the book also digs deeper by exploring pressing issues at the intersections of AI, media, and the law. Chapters critically re-examine various rights and responsibilities from the perspectives of incentives for accountable utilisation of AI in the industry. Featuring chapters from leading scholars in the field, Artificial Intelligence and the Media provides a timely and in-depth research-based contribution to complex themes - especially at the interface of new technology (including AI) with media and regulation. Analysing both legislative and ethical solutions, chapters explore what "AI" and "accountability" mean in terms of media practices, principles, and power relations, as well as how to address the AI revolution with informed law and policy in order to incentivise accountable utilisation of AI and to reduce negative societal impacts. Offering ideas for further research in the area, this book is key reading for academics and researchers in the fields of information and media law, regulation, and technology law. It may also interest media law practitioners, with research-based guidance for everyday practices and tools to prepare for future developments in the area.

Digital Platforms and Global Law focuses on digital platforms and identifies their relevant legal profiles in terms of transnational and international law. It qualifies digital platforms as private legal orders, which exercise the legislative, executive, and (para)jurisdictional power within them. Starting from this assumption, the author studies the relationship between these orders and state, transnational, and international orders. The book first explores the reasons for the inadequacy of the current regulatory matrix and goes on to detail the need for a new paradigm; a shift from the current matrix of market regulation to one of negotiation. The author then examines the lack of effectiveness of current tools and explores how better versions, tools of uniform law, are emerging. This unique exploration will appeal to governments, regulatory authorities, digital platforms, businesses, and students and will find further audience with policy makers and practitioners.

This important book analyses recurring issues within financial services regulation relevant to the use of technology, at a time when competition is moving towards greater use of technology in the financial services sector. Iain Sheridan assumes no advanced knowledge of computers and related technology topics, but where necessary encapsulates the essential aspects to offer a comprehensive yet accessible guide to the regulation of finance and technology. Key features include: Cutting-edge coverage of topics within technology Drawing together the different strands of financial regulation and technology Succinctly encapsulating the essence of complex topics, including machine learning, artificial intelligence, intellectual property and quantum computing Furthering readers' understanding of the key case law, regulation, authoritative financial services regulator guidance and international standards governing these specific themes. Financial Regulation and Technology will be crucial reading for legal counsel and compliance officers in asset managers, banks, platforms and FinTech SMEs looking to consolidate their knowledge of financial regulation and technology issues.

Security in IoT Social Networks takes a deep dive into security threats and risks, focusing on real-world social and financial effects. Mining and analyzing enormously vast networks is a vital part of exploiting Big Data. This book provides insight into the technological aspects of modeling, searching, and mining for corresponding research issues, as well as designing and analyzing models for resolving such challenges. The book will help start-ups grow, providing research directions concerning security mechanisms and protocols for social information networks. The book covers structural analysis of large social information networks, elucidating models and algorithms and their fundamental properties. Moreover, this book includes smart solutions based on artificial intelligence, machine learning, and deep learning for enhancing the performance of social information network security protocols and models. This book is a detailed reference for academicians, professionals, and young researchers. The wide range of topics provides extensive information and data for future research challenges in present-day social information networks.

Artificial intelligence has been utilized in a diverse range of industries as more people and businesses discover its many uses and applications. A current field of study that requires more attention, as there is much opportunity for improvement, is the use of artificial intelligence within literary works and social media analysis. Artificial Intelligence Applications in Literary Works and Social Media presents contemporary developments in the adoption of artificial intelligence in textual analysis of literary works and social media and introduces current approaches, techniques, and practices in data science that are implemented to scrap and analyze text data. This book initiates a new multidisciplinary field that is the combination of artificial intelligence, data science, social science, literature, and social media study. Covering key topics such as opinion mining, sentiment analysis, and machine learning, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.