Utvidet returrett til 31. januar 2025

Digital Identities in Tension

- Between Autonomy and Control

Om Digital Identities in Tension

Digital Identities in Tension deals with the ambivalence of universal digitalization. While this transformation opens up new possibilities, it also redistributes the interplay of constraints and incentives, and tends insidiously to create a greater malleability of individuals. Today, companies and states are increasingly engaged in the surveillance and management of our digital identities. In response, we must study the effects that the new industrial, economic and political logics have on ethical issues and our ability to act. This book examines the effects of digitalization on new modes of existence and subjectivation in many spheres: digital identity management systems, Big Data and machine learning, the Internet of Things, smart cities, etc. The study of these transformations is one of the major conditions for more responsible modes of data governance to emerge.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9781786304117
  • Bindende:
  • Hardback
  • Sider:
  • 224
  • Utgitt:
  • 14. juni 2019
  • Dimensjoner:
  • 163x239x18 mm.
  • Vekt:
  • 454 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 27. desember 2024
Utvidet returrett til 31. januar 2025

Beskrivelse av Digital Identities in Tension

Digital Identities in Tension deals with the ambivalence of universal digitalization. While this transformation opens up new possibilities, it also redistributes the interplay of constraints and incentives, and tends insidiously to create a greater malleability of individuals. Today, companies and states are increasingly engaged in the surveillance and management of our digital identities. In response, we must study the effects that the new industrial, economic and political logics have on ethical issues and our ability to act. This book examines the effects of digitalization on new modes of existence and subjectivation in many spheres: digital identity management systems, Big Data and machine learning, the Internet of Things, smart cities, etc. The study of these transformations is one of the major conditions for more responsible modes of data governance to emerge.

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