Big Data's Threat to Liberty


Book Description

Big Data permeates all aspects of modern life, and while there is no shortage of potential benefits resulting from this, author Henrik Skaug Sætra argues that we must also understand the threats Big Data poses to liberty. The issues discussed in Big Data's Threat to Liberty: Surveillance, Nudging, and the Curation of Information are related to how we are constantly under surveillance. Data is gathered from our homes, our cars, our smartphones, various devices around the house, and public sources such as facial recognition enabled camera surveillance and various websites and social networks. Furthermore, the information gathered is used to influence our actions. Detailed personality profiles are utilized in order to make us purchase products and services, or pay our taxes, through tailor-made nudges aimed at irrational and subconscious mechanisms, and delivered with a level of precision only possible with Big Data-driven algorithmic curation of data. Finally, the information we receive through various media is curated by algorithms, and even people are curated in order to satisfy our desires. By providing us with what the algorithm believes we want, we are spared from the exposure of unpleasant information, and even unpleasant people. The ideological landscapes we traverse are thus characterized by conformity, and a concomitant tyranny of popular opinion becomes ever more coercive as this occurs.The question is: How does being constantly watched, manipulated, and having our world-views shaped as just described affect our freedom? In this book it is argued that Big Data's threat to individual liberty is routinely misunderstood and underappreciated due to (a) vagueness resulting from the concept of liberty being used without it being defined, or (b) the use of definitions based on flawed understandings of what liberty is. In this new and unique contribution to the ethics of Big Data and artificial intelligence, both these challenges are thoroughly addressed. - Explanation of key Big Data–related technologies and how they affect modern society, including explanation of surveillance technologies and nudging algorithms, and how Big Data, Machine Learning, and Artificial Intelligence algorithms are used to tailor and mold opinion - Conceptualization of the term liberty, making the concept tangible, as a clear understanding of various forms of liberty enables a proper debate about the effects of technology on liberty, and a debate about what sort of liberty we value - A thorough technical explanation of how Big Data influences individuals by way of surveillance that allows for detailed personality profiles, nudging, and the algorithmic curation of information




Big Data's Threat to Liberty


Book Description

Big Data permeates all aspects of modern life, and while there is no shortage of potential benefits resulting from this, author Henrik Skaug Sætra argues that we must also understand the threats Big Data poses to liberty. The issues discussed in Big Data's Threat to Liberty: Surveillance, Nudging, and the Curation of Information are related to how we are constantly under surveillance. Data is gathered from our homes, our cars, our smartphones, various devices around the house, and public sources such as facial recognition enabled camera surveillance and various websites and social networks. Furthermore, the information gathered is used to influence our actions. Detailed personality profiles are utilized in order to make us purchase products and services, or pay our taxes, through tailor-made nudges aimed at irrational and subconscious mechanisms, and delivered with a level of precision only possible with Big Data-driven algorithmic curation of data. Finally, the information we receive through various media is curated by algorithms, and even people are curated in order to satisfy our desires. By providing us with what the algorithm believes we want, we are spared from the exposure of unpleasant information, and even unpleasant people. The ideological landscapes we traverse are thus characterized by conformity, and a concomitant tyranny of popular opinion becomes ever more coercive as this occurs. The question is: How does being constantly watched, manipulated, and having our world-views shaped as just described affect our freedom? In this book it is argued that Big Data's threat to individual liberty is routinely misunderstood and underappreciated due to (a) vagueness resulting from the concept of liberty being used without it being defined, or (b) the use of definitions based on flawed understandings of what liberty is. In this new and unique contribution to the ethics of Big Data and artificial intelligence, both these challenges are thoroughly addressed. Explanation of key Big Data-related technologies and how they affect modern society, including explanation of surveillance technologies and nudging algorithms, and how Big Data, Machine Learning, and Artificial Intelligence algorithms are used to tailor and mold opinion Conceptualization of the term liberty, making the concept tangible, as a clear understanding of various forms of liberty enables a proper debate about the effects of technology on liberty, and a debate about what sort of liberty we value A thorough technical explanation of how Big Data influences individuals by way of surveillance that allows for detailed personality profiles, nudging, and the algorithmic curation of information




The Rise of Big Data Policing


Book Description

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.




Big Data, Health Law, and Bioethics


Book Description

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.




European and International Media Law


Book Description

This book is the first to incorporate current academic literature and case law on European, transnational, and international media law into a comprehensive overview intended primarily for students. It introduces the legal framework for globalised communication via mass media, and considers the transformative effect globalisation has had on domestic media law. Engaging case examples at the beginning of each chapter, and questions at the end, give students a clearer idea of legal problems and encourage them to think critically. A wide variety of topics - including media economics, media technology, and social norms concerning media publications - are discussed in relation to media law, and numerous references to case law and suggestions for further reading allow students to conduct independent research easily.




Big Data Is Not a Monolith


Book Description

Perspectives on the varied challenges posed by big data for health, science, law, commerce, and politics. Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identify linguistic correlations in large corpuses of texts. This book examines big data not as an undifferentiated whole but contextually, investigating the varied challenges posed by big data for health, science, law, commerce, and politics. Taken together, the chapters reveal a complex set of problems, practices, and policies. The advent of big data methodologies has challenged the theory-driven approach to scientific knowledge in favor of a data-driven one. Social media platforms and self-tracking tools change the way we see ourselves and others. The collection of data by corporations and government threatens privacy while promoting transparency. Meanwhile, politicians, policy makers, and ethicists are ill-prepared to deal with big data's ramifications. The contributors look at big data's effect on individuals as it exerts social control through monitoring, mining, and manipulation; big data and society, examining both its empowering and its constraining effects; big data and science, considering issues of data governance, provenance, reuse, and trust; and big data and organizations, discussing data responsibility, “data harm,” and decision making. Contributors Ryan Abbott, Cristina Alaimo, Kent R. Anderson, Mark Andrejevic, Diane E. Bailey, Mike Bailey, Mark Burdon, Fred H. Cate, Jorge L. Contreras, Simon DeDeo, Hamid R. Ekbia, Allison Goodwell, Jannis Kallinikos, Inna Kouper, M. Lynne Markus, Michael Mattioli, Paul Ohm, Scott Peppet, Beth Plale, Jason Portenoy, Julie Rennecker, Katie Shilton, Dan Sholler, Cassidy R. Sugimoto, Isuru Suriarachchi, Jevin D. West




Exploring the Boundaries of Big Data


Book Description

In the investigation Exploring the Boundaries of Big Data The Netherlands Scientific Council for Government Policy (WRR) offers building blocks for developing a regulatory approach to Big Data.




Who’s watching? Surveillance, big data and applied ethics in the digital age


Book Description

Who’s watching? Surveillance, big data and applied ethics in the digital age critically examines the ethical use of surveillance data through the lens of large institutions, including corporations or government agencies, particularly including the collection and use of big data sets.




The European Union as Guardian of Internet Privacy


Book Description

This book examines the role of the EU in ensuring privacy and data protection on the internet. It describes and demonstrates the importance of privacy and data protection for our democracies and how the enjoyment of these rights is challenged by, particularly, big data and mass surveillance. The book takes the perspective of the EU mandate under Article 16 TFEU. It analyses the contributions of the specific actors and roles within the EU framework: the judiciary, the EU legislator, the independent supervisory authorities, the cooperation mechanisms of these authorities, as well as the EU as actor in the external domain. Article 16 TFEU enables the Court of the Justice of the EU to play its role as constitutional court and to set high standards for fundamental rights protection. It obliges the European Parliament and the Council to lay down legislation that encompasses all processing of personal data. It confirms control by independent supervisory authorities as an essential element of data protection and it gives the EU a strong mandate to act in the global arena. The analysis shows that EU powers can be successfully used in a legitimate and effective manner and that this subject could be a success story for the EU, in times of widespread euroskepsis. It demonstrates that the Member States remain important players in ensuring privacy and data protection. In order to be a success story, the key stakeholders should be prepared to go the extra mile, so it is argued in the book. The book is based on academic research for which the author received a double doctorate at the University of Amsterdam and the Vrije Universiteit Brussels. It builds on a long inside experience within the European institutions, as well as within the community of data protection and data protection authorities. It is a must read in a time where the setting of EU privacy and data protection is changing dramatically, not only as a result of the rapidly evolving information society, but also because of important legal developments such as the entry into force of the General Data Protection Regulation. This book will appeal to all those who are in some way involved in making this regulation work. It will also appeal to people interested in the institutional framework of the European Union and in the role of the Union of promoting fundamental rights, also in the wider world.




Big Data, Emerging Technologies and Intelligence


Book Description

This book sets out the big data landscape, comprising data abundance, digital connectivity and ubiquitous technology, and shows how the big data landscape and the emerging technologies it fuels are impacting national security. This book illustrates that big data is transforming intelligence production as well as changing the national security environment broadly, including what is considered a part of national security as well as the relationships agencies have with the public. The book highlights the impact of big data on intelligence production and national security from the perspective of Australian national security leaders and practitioners, and the research is based on empirical data collection, with insights from nearly 50 participants from within Australia’s National Intelligence Community. It argues that big data is transforming intelligence and national security and shows that the impacts of big data on the knowledge, activities and organisation of intelligence agencies is challenging some foundational intelligence principles, including the distinction between foreign and domestic intelligence collection. Furthermore, the book argues that big data has created emerging threats to national security; for example, it enables invasive targeting and surveillance, drives information warfare as well as social and political interference, and challenges the existing models of harm assessment used in national security. The book maps broad areas of change for intelligence agencies in the national security context and what they mean for intelligence communities, and explores how intelligence agencies look out to the rest of society, considering specific impacts relating to privacy, ethics and trust. This book will be of much interest to students of intelligence studies, technology studies, national security and International Relations.