Author: Linnet Taylor
Publisher: Springer
ISBN: 3319466089
Category : Philosophy
Languages : en
Pages : 249
Book Description
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.
Group Privacy
Author: Linnet Taylor
Publisher: Springer
ISBN: 3319466089
Category : Philosophy
Languages : en
Pages : 249
Book Description
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.
Publisher: Springer
ISBN: 3319466089
Category : Philosophy
Languages : en
Pages : 249
Book Description
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.
Individual & Group Privacy ( Ppr )
Author: Edward J. Bloustein
Publisher: Transaction Publishers
ISBN: 9781412826204
Category : Political Science
Languages : en
Pages : 206
Book Description
Edward J. Bloustein was the president of Rutgers University, and a distinguished scholar of the law. The four essays on privacy that comprise this book were completed over a thirteen-year period, and the development of the author's thinking parallels increasing thoughtful concern about privacy in the larger society. This development is especially appropriate to discussions of privacy and the "right to know" in the current era. The author analyzes individual and group privacy as legal concepts and examines the relationship of each to the legal right of the public to be informed about, and of a publisher to publish, private or confidential information. In exploring a series of problems associated with privacy and the First Amendment, Bloustein defines individual and group privacy, distinguishing them from each other and related concepts. He also identifies the public interest in individual privacy as individual integrity or liberty, and that of group privacy as the integrity of social structure. The legal protection afforded each of these forms of privacy is illustrated at length, as is the clash between them and the constitutional guarantees of the First Amendment and the citizen's general right to know. In his final essay, Bloustein insists that the concept of group privacy is essential to a properly functioning social structure, and warns that it would be disastrous if this principle were neglected as part of an overreaction to the misuse of group confidences that characterized the Nixon era. The new opening by Nathaniel Pallone provides a fresh context for evaluating the intellectual as well as organizational contribution of Bloustein.
Publisher: Transaction Publishers
ISBN: 9781412826204
Category : Political Science
Languages : en
Pages : 206
Book Description
Edward J. Bloustein was the president of Rutgers University, and a distinguished scholar of the law. The four essays on privacy that comprise this book were completed over a thirteen-year period, and the development of the author's thinking parallels increasing thoughtful concern about privacy in the larger society. This development is especially appropriate to discussions of privacy and the "right to know" in the current era. The author analyzes individual and group privacy as legal concepts and examines the relationship of each to the legal right of the public to be informed about, and of a publisher to publish, private or confidential information. In exploring a series of problems associated with privacy and the First Amendment, Bloustein defines individual and group privacy, distinguishing them from each other and related concepts. He also identifies the public interest in individual privacy as individual integrity or liberty, and that of group privacy as the integrity of social structure. The legal protection afforded each of these forms of privacy is illustrated at length, as is the clash between them and the constitutional guarantees of the First Amendment and the citizen's general right to know. In his final essay, Bloustein insists that the concept of group privacy is essential to a properly functioning social structure, and warns that it would be disastrous if this principle were neglected as part of an overreaction to the misuse of group confidences that characterized the Nixon era. The new opening by Nathaniel Pallone provides a fresh context for evaluating the intellectual as well as organizational contribution of Bloustein.
The Algorithmic Foundations of Differential Privacy
Author: Cynthia Dwork
Publisher:
ISBN: 9781601988188
Category : Computers
Languages : en
Pages : 286
Book Description
The problem of privacy-preserving data analysis has a long history spanning multiple disciplines. As electronic data about individuals becomes increasingly detailed, and as technology enables ever more powerful collection and curation of these data, the need increases for a robust, meaningful, and mathematically rigorous definition of privacy, together with a computationally rich class of algorithms that satisfy this definition. Differential Privacy is such a definition. The Algorithmic Foundations of Differential Privacy starts out by motivating and discussing the meaning of differential privacy, and proceeds to explore the fundamental techniques for achieving differential privacy, and the application of these techniques in creative combinations, using the query-release problem as an ongoing example. A key point is that, by rethinking the computational goal, one can often obtain far better results than would be achieved by methodically replacing each step of a non-private computation with a differentially private implementation. Despite some powerful computational results, there are still fundamental limitations. Virtually all the algorithms discussed herein maintain differential privacy against adversaries of arbitrary computational power -- certain algorithms are computationally intensive, others are efficient. Computational complexity for the adversary and the algorithm are both discussed. The monograph then turns from fundamentals to applications other than query-release, discussing differentially private methods for mechanism design and machine learning. The vast majority of the literature on differentially private algorithms considers a single, static, database that is subject to many analyses. Differential privacy in other models, including distributed databases and computations on data streams, is discussed. The Algorithmic Foundations of Differential Privacy is meant as a thorough introduction to the problems and techniques of differential privacy, and is an invaluable reference for anyone with an interest in the topic.
Publisher:
ISBN: 9781601988188
Category : Computers
Languages : en
Pages : 286
Book Description
The problem of privacy-preserving data analysis has a long history spanning multiple disciplines. As electronic data about individuals becomes increasingly detailed, and as technology enables ever more powerful collection and curation of these data, the need increases for a robust, meaningful, and mathematically rigorous definition of privacy, together with a computationally rich class of algorithms that satisfy this definition. Differential Privacy is such a definition. The Algorithmic Foundations of Differential Privacy starts out by motivating and discussing the meaning of differential privacy, and proceeds to explore the fundamental techniques for achieving differential privacy, and the application of these techniques in creative combinations, using the query-release problem as an ongoing example. A key point is that, by rethinking the computational goal, one can often obtain far better results than would be achieved by methodically replacing each step of a non-private computation with a differentially private implementation. Despite some powerful computational results, there are still fundamental limitations. Virtually all the algorithms discussed herein maintain differential privacy against adversaries of arbitrary computational power -- certain algorithms are computationally intensive, others are efficient. Computational complexity for the adversary and the algorithm are both discussed. The monograph then turns from fundamentals to applications other than query-release, discussing differentially private methods for mechanism design and machine learning. The vast majority of the literature on differentially private algorithms considers a single, static, database that is subject to many analyses. Differential privacy in other models, including distributed databases and computations on data streams, is discussed. The Algorithmic Foundations of Differential Privacy is meant as a thorough introduction to the problems and techniques of differential privacy, and is an invaluable reference for anyone with an interest in the topic.
State Secrecy and Democracy
Author: Dorota Mokrosinska
Publisher: Taylor & Francis
ISBN: 1003831478
Category : Philosophy
Languages : en
Pages : 123
Book Description
In the wake of controversial disclosures of classified government information by WikiLeaks and Edward Snowden, questions about the democratic status of secret uses of political power are rarely far from the headlines. Despite an increase in initiatives aimed at enhancing government transparency – such as freedom of information or sunshine laws – secrecy persists in both the foreign and domestic policy of democratic states, in the form of classified intelligence programs, espionage, secret military operations, diplomatic discretion, closed-door political bargaining, and bureaucratic opacity. This book explores whether the state’s claim to restrict access to information can be justified. Dorota Mokrosinska answers this question with a qualified "yes," arguing that secrecy in exercising executive and legislative power can be seen as a legitimate exercise of democratic authority rather than as its justified suspension. Past and recent examples of state secrecy are used throughout the book, including the Manhattan Project, decision-making leading to the Iraq War, the extraordinary renditions programs and secret detention sites in Eastern Europe, collaboration between international secret services, and the WikiLeaks and Snowden disclosures. State Secrecy and Democracy: A Philosophical Inquiry is essential reading for those in political philosophy, ethics, politics, international relations and security studies, and law.
Publisher: Taylor & Francis
ISBN: 1003831478
Category : Philosophy
Languages : en
Pages : 123
Book Description
In the wake of controversial disclosures of classified government information by WikiLeaks and Edward Snowden, questions about the democratic status of secret uses of political power are rarely far from the headlines. Despite an increase in initiatives aimed at enhancing government transparency – such as freedom of information or sunshine laws – secrecy persists in both the foreign and domestic policy of democratic states, in the form of classified intelligence programs, espionage, secret military operations, diplomatic discretion, closed-door political bargaining, and bureaucratic opacity. This book explores whether the state’s claim to restrict access to information can be justified. Dorota Mokrosinska answers this question with a qualified "yes," arguing that secrecy in exercising executive and legislative power can be seen as a legitimate exercise of democratic authority rather than as its justified suspension. Past and recent examples of state secrecy are used throughout the book, including the Manhattan Project, decision-making leading to the Iraq War, the extraordinary renditions programs and secret detention sites in Eastern Europe, collaboration between international secret services, and the WikiLeaks and Snowden disclosures. State Secrecy and Democracy: A Philosophical Inquiry is essential reading for those in political philosophy, ethics, politics, international relations and security studies, and law.
Information Insecurity
Author: Brendan January
Publisher: Twenty-First Century Books
ISBN: 1467788031
Category : Young Adult Nonfiction
Languages : en
Pages : 100
Book Description
The Internet gives us information, communication options, shopping opportunities, entertainment, and much more—all at the touch of a fingertip and much of it for free. But in exchange for these benefits, we may be losing a basic right: the right to privacy. By clicking to accept website user agreements, we often allow companies to track our activities online and to share our data with outside groups. In addition, the police and government agencies can also track people online—and this tracking is sometimes done secretly, without user agreements or search warrants. Privacy laws and the US Constitution are supposed to protect privacy in the United States, as are laws and conventions in other parts of the world. But judicial and legal systems have not kept pace with technology. And until laws catch up, users enter a legal gray area when they communicate digitally—an arena in which their most private conversations might not be protected from intrusion. Such intrusion can be dangerous: government agencies can use information obtained via digital spying to harass, arrest, or imprison citizens. Other groups can use private digital data to discriminate in banking, housing, and other businesses. Around the world, critics are sounding the alarm about digital privacy. Many have called for stricter controls on data tracking. What rights do you have when it comes to privacy online? How can you be a smart cyber citizen and protect your personal digital data? These questions are at the heart of the Internet privacy debate.
Publisher: Twenty-First Century Books
ISBN: 1467788031
Category : Young Adult Nonfiction
Languages : en
Pages : 100
Book Description
The Internet gives us information, communication options, shopping opportunities, entertainment, and much more—all at the touch of a fingertip and much of it for free. But in exchange for these benefits, we may be losing a basic right: the right to privacy. By clicking to accept website user agreements, we often allow companies to track our activities online and to share our data with outside groups. In addition, the police and government agencies can also track people online—and this tracking is sometimes done secretly, without user agreements or search warrants. Privacy laws and the US Constitution are supposed to protect privacy in the United States, as are laws and conventions in other parts of the world. But judicial and legal systems have not kept pace with technology. And until laws catch up, users enter a legal gray area when they communicate digitally—an arena in which their most private conversations might not be protected from intrusion. Such intrusion can be dangerous: government agencies can use information obtained via digital spying to harass, arrest, or imprison citizens. Other groups can use private digital data to discriminate in banking, housing, and other businesses. Around the world, critics are sounding the alarm about digital privacy. Many have called for stricter controls on data tracking. What rights do you have when it comes to privacy online? How can you be a smart cyber citizen and protect your personal digital data? These questions are at the heart of the Internet privacy debate.
E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life
Author: Vijayan Sugumaran
Publisher: Springer
ISBN: 3319454080
Category : Computers
Languages : en
Pages : 253
Book Description
This book constitutes the refereed proceedings of the Workshop on E-Business (WeB 2015), held in Fort Worth, Texas, USA, on December 12, 2015. The theme of WeB 2015 was “Leveraging Service Computing and Big Data Analytics for E-Commerce”, and thus the workshop provided an interactive forum by bringing together researchers and practitioners from all over the world to explore the latest challenges of next-generation e-Business systems and the potential of service computing and big data analytics. The 11 full and 17 short papers, which were selected from 45 submissions to the workshop, addressed a broad coverage of technical, managerial, economic, and strategic issues related to e-business, with emphasis on service computing and big data analytics. They employed various IS research methods such as case study, survey, analytical modeling, experiments, computational models, and design science.
Publisher: Springer
ISBN: 3319454080
Category : Computers
Languages : en
Pages : 253
Book Description
This book constitutes the refereed proceedings of the Workshop on E-Business (WeB 2015), held in Fort Worth, Texas, USA, on December 12, 2015. The theme of WeB 2015 was “Leveraging Service Computing and Big Data Analytics for E-Commerce”, and thus the workshop provided an interactive forum by bringing together researchers and practitioners from all over the world to explore the latest challenges of next-generation e-Business systems and the potential of service computing and big data analytics. The 11 full and 17 short papers, which were selected from 45 submissions to the workshop, addressed a broad coverage of technical, managerial, economic, and strategic issues related to e-business, with emphasis on service computing and big data analytics. They employed various IS research methods such as case study, survey, analytical modeling, experiments, computational models, and design science.
Big Data, Health Law, and Bioethics
Author: I. Glenn Cohen
Publisher: Cambridge University Press
ISBN: 110815364X
Category : Law
Languages : en
Pages : 374
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.
Publisher: Cambridge University Press
ISBN: 110815364X
Category : Law
Languages : en
Pages : 374
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.
Big Data, Algorithms and Food Safety
Author: Salvatore Sapienza
Publisher: Springer Nature
ISBN: 3031093674
Category : Law
Languages : en
Pages : 225
Book Description
This book identifies the principles that should be applied when processing Big Data in the context of food safety risk assessments. Food safety is a critical goal in the protection of individuals’ right to health and the flourishing of the food and feed market. Big Data is fostering new applications capable of enhancing the accuracy of food safety risk assessments. An extraordinary amount of information is analysed to detect the existence or predict the likelihood of future risks, also by means of machine learning algorithms. Big Data and novel analysis techniques are topics of growing interest for food safety agencies, including the European Food Safety Authority (EFSA). This wealth of information brings with it both opportunities and risks concerning the extraction of meaningful inferences from data. However, conflicting interests and tensions among the parties involved are hindering efforts to find shared methods for steering the processing of Big Data in a sound, transparent and trustworthy way. While consumers call for more transparency, food business operators tend to be reluctant to share informational assets. This has resulted in a considerable lack of trust in the EU food safety system. A recent legislative reform, supported by new legal cases, aims to restore confidence in the risk analysis system by reshaping the meaning of data ownership in this domain. While this regulatory approach is being established, breakthrough analytics techniques are encouraging thinking about the next steps in managing food safety data in the age of machine learning. The book focuses on two core topics – data ownership and data governance – by evaluating how the regulatory framework addresses the challenges raised by Big Data and its analysis in an applied, significant, and overlooked domain. To do so, it adopts an interdisciplinary approach that considers both the technological advances and the policy tools adopted in the European Union, while also assuming an ethical perspective when exploring potential solutions. The conclusion puts forward a proposal: an ethical blueprint for identifying the principles – Security, Accountability, Fairness, Explainability, Transparency and Privacy – to be observed when processing Big Data for food safety purposes, including by means of machine learning. Possible implementations are then discussed, also in connection with two recent legislative proposals, namely the Data Governance Act and the Artificial Intelligence Act.
Publisher: Springer Nature
ISBN: 3031093674
Category : Law
Languages : en
Pages : 225
Book Description
This book identifies the principles that should be applied when processing Big Data in the context of food safety risk assessments. Food safety is a critical goal in the protection of individuals’ right to health and the flourishing of the food and feed market. Big Data is fostering new applications capable of enhancing the accuracy of food safety risk assessments. An extraordinary amount of information is analysed to detect the existence or predict the likelihood of future risks, also by means of machine learning algorithms. Big Data and novel analysis techniques are topics of growing interest for food safety agencies, including the European Food Safety Authority (EFSA). This wealth of information brings with it both opportunities and risks concerning the extraction of meaningful inferences from data. However, conflicting interests and tensions among the parties involved are hindering efforts to find shared methods for steering the processing of Big Data in a sound, transparent and trustworthy way. While consumers call for more transparency, food business operators tend to be reluctant to share informational assets. This has resulted in a considerable lack of trust in the EU food safety system. A recent legislative reform, supported by new legal cases, aims to restore confidence in the risk analysis system by reshaping the meaning of data ownership in this domain. While this regulatory approach is being established, breakthrough analytics techniques are encouraging thinking about the next steps in managing food safety data in the age of machine learning. The book focuses on two core topics – data ownership and data governance – by evaluating how the regulatory framework addresses the challenges raised by Big Data and its analysis in an applied, significant, and overlooked domain. To do so, it adopts an interdisciplinary approach that considers both the technological advances and the policy tools adopted in the European Union, while also assuming an ethical perspective when exploring potential solutions. The conclusion puts forward a proposal: an ethical blueprint for identifying the principles – Security, Accountability, Fairness, Explainability, Transparency and Privacy – to be observed when processing Big Data for food safety purposes, including by means of machine learning. Possible implementations are then discussed, also in connection with two recent legislative proposals, namely the Data Governance Act and the Artificial Intelligence Act.
Human Centered Computing
Author: Qiaohong Zu
Publisher: Springer
ISBN: 3319745212
Category : Computers
Languages : en
Pages : 678
Book Description
This book constitutes revised selected papers from the thoroughly refereed proceedings of the Third International Human Centered Computing Conference, HCC 2017, that consolidated and further develops the successful ICPCA/SWS conferences on Pervasive Computing and the Networked World, and which was held in Kazan, Russia, in August 2017.The 48 full and 20 short papers presented in this book together with 2 invited keynotes were carefully reviewed and selected from numerous submissions. This proceedings present recent advances in human machine interfaces, wireless and mobile network technologies, and data analytics, which make computer services truly human-centric.
Publisher: Springer
ISBN: 3319745212
Category : Computers
Languages : en
Pages : 678
Book Description
This book constitutes revised selected papers from the thoroughly refereed proceedings of the Third International Human Centered Computing Conference, HCC 2017, that consolidated and further develops the successful ICPCA/SWS conferences on Pervasive Computing and the Networked World, and which was held in Kazan, Russia, in August 2017.The 48 full and 20 short papers presented in this book together with 2 invited keynotes were carefully reviewed and selected from numerous submissions. This proceedings present recent advances in human machine interfaces, wireless and mobile network technologies, and data analytics, which make computer services truly human-centric.
Handbook of Research on Technoethics
Author: Luppicini, Rocci
Publisher: IGI Global
ISBN: 160566023X
Category : Computers
Languages : en
Pages : 1031
Book Description
"This book traces the emergence of the new interdisciplinary field of technoethics by exploring its conceptual development, important issues, and key areas of current research. Compiling 50 authoritative articles from leading researchers on the ethical dimensions of new technologies"--Provided by publisher.
Publisher: IGI Global
ISBN: 160566023X
Category : Computers
Languages : en
Pages : 1031
Book Description
"This book traces the emergence of the new interdisciplinary field of technoethics by exploring its conceptual development, important issues, and key areas of current research. Compiling 50 authoritative articles from leading researchers on the ethical dimensions of new technologies"--Provided by publisher.