Artikel

Algorithmic systems: The consent is in the detail?

Applications of algorithmically informed decisions are becoming entrenched in society,with data processing being their main process and ingredient. While these applications areprogressively gaining momentum, established data protection and privacy rules have struggledto incorporate the particularities of data-intensive information societies. Consequently, there isa misalignment created between algorithmic processing of personal data and the correspondingregulatory frameworks since they both strive for meaningful control over personal data.However, the challenges to the traditional role and the concept of consent are particularlymanifest. This article examines the transformation of consent in order to assess how the conceptin itself as well as the applied models of consent can be reconciled to correspond not only tocurrent data protection normative frameworks but also to algorithmic processing technologies.This particularly pressing area of safeguarding a fundamental aspect of individual control overpersonal data in the algorithmic era is interlinked with practical implementations of consent inthe technology used. Moreover, it relates to adopted interpretations of the concept of consent, tothe scope of application of personal data, as well as to the obligations enshrined in them. Whatmakes consent efficient as a data protection tool? Can its previous glory be maintained withinthe current techno-legal challenges?

Sprache
Englisch

Erschienen in
Journal: Internet Policy Review ; ISSN: 2197-6775 ; Volume: 9 ; Year: 2020 ; Issue: 1 ; Pages: 1-19 ; Berlin: Alexander von Humboldt Institute for Internet and Society

Klassifikation
Sozialwissenschaften, Soziologie, Anthropologie
Thema
Algorithms
GDPR
Data protection
Consent

Ereignis
Geistige Schöpfung
(wer)
Giannopoulou, Alexandra
Ereignis
Veröffentlichung
(wer)
Alexander von Humboldt Institute for Internet and Society
(wo)
Berlin
(wann)
2020

DOI
doi:10.14763/2020.1.1452
Handle
Letzte Aktualisierung
10.03.2025, 11:46 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Giannopoulou, Alexandra
  • Alexander von Humboldt Institute for Internet and Society

Entstanden

  • 2020

Ähnliche Objekte (12)