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Privacy, Due Process and the Computational Turn: The Philosophy of Law Meets the Philosophy of Technology

By: Contributor(s): Publication details: United Kingdom; Taylor & Francis Ltd; 07 Jan 2015Description: 272 Pages; PaperbackISBN:
  • 9780415831505
Subject(s): DDC classification:
  • 344.09
Summary: 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.
Holdings
Item type Current library Call number Status Notes Date due Barcode Item holds
Book Adult and Young Adult 15-17 Karachi Computing and the Internet 344.09 (Browse shelf(Opens below)) Available PKLC017592
Book Adult and Young Adult 15-17 Lahore Computing and the Internet 344.09 (Browse shelf(Opens below)) Withdrawn For Sale PKLC012602
Total holds: 0

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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