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Privacy, Data Protection and Data-driven Technologies
University of Tartu, Tartu, Estonia.ORCID iD: 0000-0001-5241-7121
University of Tartu, Tartu, Estonia.
2024 (English)Collection (editor) (Refereed)
Abstract [en]

This book brings together contributions from leading scholars in law and technology, analysing the privacy issues raised by new data-driven technologies.

Highlighting the challenges that technology poses to existing European Union (EU) data protection laws, the book assesses whether current legal frameworks are fit for purpose, while maintaining a balance between supporting innovation and the protection of individual’s privacy. Data privacy issues range from targeted advertising and facial recognition, systems based on artificial intelligence (AI) and blockchain, and machine-to-machine (M2M) communication, to technologies that enable the detection of emotions and personal care robots.

The book will be of interest to scholars, policymakers and practitioners working in the fields of law and technology, EU law and data protection.This book brings together contributions from leading scholars in law and technology, analysing the privacy issues raised by new data-driven technologies. Highlighting the challenges that technology poses to existing European Union (EU) data protection laws, the book assesses whether current legal frameworks are fit for purpose, while maintaining a balance between supporting innovation and the protection of individual’s privacy. Data privacy issues range from targeted advertising and facial recognition, systems based on artificial intelligence (AI) and blockchain, and machine-to-machine (M2M) communication, to technologies that enable the detection of emotions and personal care robots. The book will be of interest to scholars, policymakers and practitioners working in the fields of law and technology, EU law and data protection.  

Place, publisher, year, edition, pages
Routledge, 2024. , p. 415
Series
Routledge Research in the Law of Emerging Technologies
National Category
Law
Research subject
Law
Identifiers
URN: urn:nbn:se:oru:diva-118604ISBN: 9781032614472 (print)ISBN: 9781003502791 (electronic)OAI: oai:DiVA.org:oru-118604DiVA, id: diva2:1929145
Available from: 2025-01-20 Created: 2025-01-20 Last updated: 2025-01-23Bibliographically approved

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Ebers, Martin

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • Other style
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Language
  • de-DE
  • en-GB
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Output format
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