Privacy, due process and the computational turn : the philosophy of law meets the philosophy of technology
- Abingdon, Oxon OX ; New York : Routledge, Taylor & Francis Group, 2013.
- Copyright notice
- Physical description
- xiv, 256 pages : illustrations ; 24 cm
K487 .T4 P75 2013
- Unknown K487 .T4 P75 2013
- Includes bibliographical references and index.
- Introduction: Privacy, due process and the computational turn at a glance : pointers for the hurried reader / Katja de Vries and Mireille Hildebrandt
- Privacy, due process and the computational turn : a parable and a first analysis / Katja de Vries
- A machine learning view on profiling / Martijn van Otterlo
- Abducing personal data, destroying privacy : diagnosing profiles through artefactual mediators / Lorenzo Magnani
- Prediction, pre-emption, presumption : the path of law after the computational turn / Ian Kerr
- Digital prophecies and web intelligence / Elena Esposito
- The end(s) of critique : data behaviourism versus due process / Antoinette Rouvroy
- Political and ethical perspectives on data obfuscation / Finn Brunton and Helen Nissenbaum
- On decision transparency, or how to enhance data projection after the computational turn / Bert-Jaap Koops
- Profile transparency by design? : re-enabling double contingency / Mireille Hildebrandt.
- Publisher's 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.
(source: Nielsen Book Data)
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- edited by Mireille Hildebrandt and Katja de Vries.
- "A Glasshouse book."