Research Handbook On Big Data Law

This state-of-the-art Research Handbook provides an overview of research into, and the scope of current thinking in, the field of big data analytics and the law. It contains a wealth of information to survey the issues surrounding big data analytics in legal settings, as well as legal issues concerning the application of big data techniques in different domains.

The use of data in society has seen an exponential growth in recent years. Data science, the field of research concerned with understanding and analyzing data, aims to find ways to operationalize data so that it can be beneficially used in society, for example in health applications, urban governance or smart household devices. The legal questions that accompany the rise of new, data-driven technologies however are underexplored. This book is the first volume that seeks to map the legal implications of the emergence of data science. It discusses the possibilities and limitations imposed by the current legal framework, considers whether regulation is needed to respond to problems raised by data science, and which ethical problems occur in relation to the use of data. It also considers the emergence of Data Science and Law as a new legal discipline.

This Handbook provides a scholarly and comprehensive account of the multiple converging challenges that digital technologies present for intellectual property (IP) rights, from the perspectives of international, EU and US law. Despite the fast-moving nature of digital technology, this Handbook provides profound reflections on the underlying normative legal dilemmas, identifying future problems and suggesting how digital IP issues should be dealt with in the future.

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.

This Research Handbook is an insightful overview of the key rules, concepts and tensions in privacy and data protection law. It highlights the increasing global significance of this area of the law, illustrating the many complexities in the field through a blend of theoretical and empirical perspectives. Providing an excellent in-depth analysis of global privacy and data protection law, this Research Handbook explores multiple regional and national jurisdictions, bringing together interdisciplinary international contributions on privacy and data protection. Chapters cover critical topics in the field, including co-regulation and the competitive advantage in the GDPR, border surveillance, big data and data protection. It further investigates the relationship between privacy and data protection law and other fields of law, such as consumer law and competition law. With its detailed analysis and insights into privacy and data protection law, this Research Handbook will prove a useful resource for information and media law students as well as academics researching fields such as privacy law and surveillance or security studies.

This fresh and insightful Research Handbook delivers global perspectives on information law and governance, delving into principles of information law in the areas of trade secrecy, privacy, data protection and cybersecurity.

Bringing together leading European scholars, this thought-provoking Research Handbook provides a state-of-the-art overview of the scope of research and current thinking in the area of European data protection. Offering critical insights on prominent strands of research, it examines key challenges and potential solutions in the field. Chapters explore the fundamental right to personal data protection, government-to-business data sharing, data protection as performance-based regulation, privacy and marketing in data-driven business models, data protection and judicial automation, and the role of consent in an algorithmic society.

This comprehensive and innovative Research Handbook tackles the pressing issues confronting us at the dawn of the global network society, including freedom of speech, government transparency and the digital divide. Engaging with controversial problems of public policy including freedom of expression, copyright and information inequality, the Research Handbook on Information Policy offers a well-rounded exploration of the history and future of this vital field.