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| Author | : Joe Cannataci |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 328 |
| Release | : 2020-09-25 |
| Genre | : Law |
| ISBN | : 1788976223 |
This groundbreaking book explores the new legal and economic challenges triggered by big data, and analyses the interactions among and between intellectual property, competition law, free speech, privacy and other fundamental rights vis-à-vis big data analysis and algorithms.
| Author | : Marcelo Corrales |
| Publisher | : Springer |
| Total Pages | : 341 |
| Release | : 2017-09-04 |
| Genre | : Law |
| ISBN | : 9811050384 |
This edited collection brings together a series of interdisciplinary contributions in the field of Information Technology Law. The topics addressed in this book cover a wide range of theoretical and practical legal issues that have been created by cutting-edge Internet technologies, primarily Big Data, the Internet of Things, and Cloud computing. Consideration is also given to more recent technological breakthroughs that are now used to assist, and — at times — substitute for, human work, such as automation, robots, sensors, and algorithms. The chapters presented in this edition address these issues from the perspective of different legal backgrounds. The first part of the book discusses some of the shortcomings that have prompted legislators to carry out reforms with regard to privacy, data protection, and data security. Notably, some of the complexities and salient points with regard to the new European General Data Protection Regulation (EU GDPR) and the new amendments to the Japan’s Personal Information Protection Act (PIPA) have been scrutinized. The second part looks at the vital role of Internet intermediaries (or brokers) for the proper functioning of the globalized electronic market and innovation technologies in general. The third part examines an electronic approach to evidence with an evaluation of how these technologies affect civil and criminal investigations. The authors also explore issues that have emerged in e-commerce, such as Bitcoin and its blockchain network effects. The book aims to explain, systemize and solve some of the lingering legal questions created by the disruptive technological change that characterizes the early twenty-first century.
| Author | : Mira Burri |
| Publisher | : Cambridge University Press |
| Total Pages | : 407 |
| Release | : 2021-07-29 |
| Genre | : Business & Economics |
| ISBN | : 110884359X |
An exploration of the current state of global trade law in the era of Big Data and AI. This title is also available as Open Access on Cambridge Core.
| Author | : Molly K. Land |
| Publisher | : Cambridge University Press |
| Total Pages | : 333 |
| Release | : 2018-04-19 |
| Genre | : Computers |
| ISBN | : 1107179637 |
Provides a roadmap for understanding the relationship between technology and human rights law and practice. This title is also available as Open Access.
| Author | : Singh, Manoj Kumar |
| Publisher | : IGI Global |
| Total Pages | : 345 |
| Release | : 2016-06-20 |
| Genre | : Computers |
| ISBN | : 1522501835 |
“Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and Opportunities for Implementation explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.
| Author | : Aleš Završnik |
| Publisher | : Routledge |
| Total Pages | : 286 |
| Release | : 2017-09-20 |
| Genre | : Social Science |
| ISBN | : 1315395762 |
From predictive policing to self-surveillance to private security, the potential uses to of big data in crime control pose serious legal and ethical challenges relating to privacy, discrimination, and the presumption of innocence. The book is about the impacts of the use of big data analytics on social and crime control and on fundamental liberties. Drawing on research from Europe and the US, this book identifies the various ways in which law and ethics intersect with the application of big data in social and crime control, considers potential challenges to human rights and democracy and recommends regulatory solutions and best practice. This book focuses on changes in knowledge production and the manifold sites of contemporary surveillance, ranging from self-surveillance to corporate and state surveillance. It tackles the implications of big data and predictive algorithmic analytics for social justice, social equality, and social power: concepts at the very core of crime and social control. This book will be of interest to scholars and students of criminology, sociology, politics and socio-legal studies.
| Author | : Andrew Guthrie Ferguson |
| Publisher | : NYU Press |
| Total Pages | : 267 |
| Release | : 2019-11-15 |
| Genre | : Law |
| ISBN | : 147986997X |
Winner, 2018 Law & Legal Studies PROSE Award The consequences of big data and algorithm-driven policing and its impact on law enforcement In a high-tech command center in downtown Los Angeles, a digital map lights up with 911 calls, television monitors track breaking news stories, surveillance cameras sweep the streets, and rows of networked computers link analysts and police officers to a wealth of law enforcement intelligence. This is just a glimpse into a future where software predicts future crimes, algorithms generate virtual “most-wanted” lists, and databanks collect personal and biometric information. The Rise of Big Data Policing introduces the cutting-edge technology that is changing how the police do their jobs and shows why it is more important than ever that citizens understand the far-reaching consequences of big data surveillance as a law enforcement tool. Andrew Guthrie Ferguson reveals how these new technologies —viewed as race-neutral and objective—have been eagerly adopted by police departments hoping to distance themselves from claims of racial bias and unconstitutional practices. After a series of high-profile police shootings and federal investigations into systemic police misconduct, and in an era of law enforcement budget cutbacks, data-driven policing has been billed as a way to “turn the page” on racial bias. But behind the data are real people, and difficult questions remain about racial discrimination and the potential to distort constitutional protections. In this first book on big data policing, Ferguson offers an examination of how new technologies will alter the who, where, when and how we police. These new technologies also offer data-driven methods to improve police accountability and to remedy the underlying socio-economic risk factors that encourage crime. The Rise of Big Data Policing is a must read for anyone concerned with how technology will revolutionize law enforcement and its potential threat to the security, privacy, and constitutional rights of citizens. Read an excerpt and interview with Andrew Guthrie Ferguson in The Economist.
| Author | : I. Glenn Cohen |
| Publisher | : Cambridge University Press |
| Total Pages | : 374 |
| Release | : 2018-03-08 |
| Genre | : Law |
| ISBN | : 110815364X |
When data from all aspects of our lives can be relevant to our health - from our habits at the grocery store and our Google searches to our FitBit data and our medical records - can we really differentiate between big data and health big data? Will health big data be used for good, such as to improve drug safety, or ill, as in insurance discrimination? Will it disrupt health care (and the health care system) as we know it? Will it be possible to protect our health privacy? What barriers will there be to collecting and utilizing health big data? What role should law play, and what ethical concerns may arise? This timely, groundbreaking volume explores these questions and more from a variety of perspectives, examining how law promotes or discourages the use of big data in the health care sphere, and also what we can learn from other sectors.
| Author | : Linnet Taylor |
| Publisher | : Springer |
| Total Pages | : 249 |
| Release | : 2016-12-28 |
| Genre | : Philosophy |
| ISBN | : 3319466089 |
The goal of the book is to present the latest research on the new challenges of data technologies. It will offer an overview of the social, ethical and legal problems posed by group profiling, big data and predictive analysis and of the different approaches and methods that can be used to address them. In doing so, it will help the reader to gain a better grasp of the ethical and legal conundrums posed by group profiling. The volume first maps the current and emerging uses of new data technologies and clarifies the promises and dangers of group profiling in real life situations. It then balances this with an analysis of how far the current legal paradigm grants group rights to privacy and data protection, and discusses possible routes to addressing these problems. Finally, an afterword gathers the conclusions reached by the different authors and discuss future perspectives on regulating new data technologies.
| Author | : Maria Cristina Caldarola |
| Publisher | : Beck/Hart |
| Total Pages | : 304 |
| Release | : 2020-04-16 |
| Genre | : Law |
| ISBN | : 9781509931934 |
This book is a legal practice guide for the collection, storage and analysis of personal and other data in Big Data applications. It contains numerous guidelines and graphic illustrations/graphics to offer well-founded, practice-oriented support. The book illuminates the legal scope of Big Data and at the same time closes a gap in the legal literature on the subject. Its content goes beyond the purely data protection law view and combines questions in the Big Data environment, among others, from the legal sources, the protection of industrial property rights and data protection. In addition to personal data, the book also looks at non-personal data (technical data or anonymous data), which is often mixed together for Big Data analyses. These different types of data may originate from different rightholders, may be subject to different national laws, may require different legal bases and/or may be used for different analysis purposes.
