Buch, Englisch, 272 Seiten, Format (B × H): 157 mm x 231 mm, Gewicht: 517 g
The Philosophy of Law Meets the Philosophy of Technology
Buch, Englisch, 272 Seiten, Format (B × H): 157 mm x 231 mm, Gewicht: 517 g
ISBN: 978-0-415-64481-5
Verlag: Taylor & Francis
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.
Autoren/Hrsg.
Fachgebiete
- Rechtswissenschaften Recht, Rechtswissenschaft Allgemein Rechtsphilosophie, Rechtsethik
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Rechtliche Aspekte der EDV
- Rechtswissenschaften Öffentliches Recht Verwaltungsrecht Allgemeines Informationsrecht, Datenschutzrecht
- Geisteswissenschaften Philosophie Rechtsphilosophie, Rechtsethik
- Rechtswissenschaften Wirtschaftsrecht Medienrecht Telekommunikationsrecht, IT-Recht, Internetrecht
Weitere Infos & Material
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