Privacy, Due Process and the Computational Turn (eBook, PDF)

The Philosophy of Law Meets the Philosophy of Technology
Redaktion: Hildebrandt, Mireille; De Vries, Katja

• Format: PDF

Produktbeschreibung

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 categorized.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 272
• Erscheinungstermin: 3. Juni 2013
• Englisch
• ISBN-13: 9781134619085
• Artikelnr.: 39054822

Autorenporträt

Mireille Hildebrandt holds the chair of Smart Environments, Data Protection and the Rule of Law at the Institute for Computer and Information Sciences (ICIS) at Radboud University Nijmegen, and is Associate Professor of Jurisprudence at the Erasmus School of Law, Erasmus University Rotterdam. Katja de Vries is based in the interdisciplinary Center on Law, Science, Technology andSociety (LSTS) at the Vrije Universiteit Brussel (VUB).

Inhaltsangabe

Acknowledgments
On the contributors
Preface
0. 'Privacy, Due Process and the Computational Turn' at a glance. Pointers for the hurried reader
Chapter 1: Privacy, Due Process and the Computational Turn A parable and a first analysis,
Part 1 Data Science
Chapter 2: A Machine Learning View on Profiling
Part 2 Anticipating Machines
Chapter 3: Abducing Personal Data, Destroying Privacy. Diagnosing Profiles through Artifactual Mediators,
Chapter 4: Prediction, Preemption, Presumption: The Path of Law After the Computational Turn
Chapter 5: Digital prophecies and web intelligence,
Chapter 6: The end(s) of critique : data-behaviourism vs. due-process
Part 3 Resistance & Solutions
Chapter 7: Political and Ethical Perspectives on Data Obfuscation
Chapter 8: On decision transparency
Chapter 9: Profile transparency by design? Re-enabling double contingency
Index