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Privacy, Due Process and the Computational Turn - The Philosophy of Law Meets the Philosophy of Technology (Paperback):... Privacy, Due Process and the Computational Turn - The Philosophy of Law Meets the Philosophy of Technology (Paperback)
Mireille Hildebrandt, Katja De Vries
R1,650 Discovery Miles 16 500 Ships in 12 - 17 working days

Privacy, Due process and the Computational Turn: The Philosophy of Law Meets the Philosophy of Technology engages with the rapidly developing computational aspects of our world including data mining, behavioural advertising, iGovernment, profiling for intelligence, customer relationship management, smart search engines, personalized news feeds, and so on in order to consider their implications for the assumptions on which our legal framework has been built. The contributions to this volume focus on the issue of privacy, which is often equated with data privacy and data security, location privacy, anonymity, pseudonymity, unobservability, and unlinkability. Here, however, the extent to which predictive and other types of data analytics operate in ways that may or may not violate privacy is rigorously taken up, both technologically and legally, in order to open up new possibilities for considering, and contesting, how we are increasingly being correlated and categorizedin relationship with due process - the right to contest how the profiling systems are categorizing and deciding about us.

Privacy, Due Process and the Computational Turn - The Philosophy of Law Meets the Philosophy of Technology (Hardcover, New):... Privacy, Due Process and the Computational Turn - The Philosophy of Law Meets the Philosophy of Technology (Hardcover, New)
Mireille Hildebrandt, Katja De Vries
R3,990 Discovery Miles 39 900 Ships in 12 - 17 working days

Privacy, Due process and the Computational Turn: The Philosophy of Law Meets the Philosophy of Technology engages with the rapidly developing computational aspects of our world including data mining, behavioural advertising, iGovernment, profiling for intelligence, customer relationship management, smart search engines, personalized news feeds, and so on in order to consider their implications for the assumptions on which our legal framework has been built. The contributions to this volume focus on the issue of privacy, which is often equated with data privacy and data security, location privacy, anonymity, pseudonymity, unobservability, and unlinkability. Here, however, the extent to which predictive and other types of data analytics operate in ways that may or may not violate privacy is rigorously taken up, both technologically and legally, in order to open up new possibilities for considering, and contesting, how we are increasingly being correlated and categorizedin relationship with due process - the right to contest how the profiling systems are categorizing and deciding about us.

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