Biometric mirror : exploring values and attitudes towards facial analysis and automated decision-making

Link:
Autor/in:
Beteiligte Personen:
  • #NODATA#
  • #NODATA#
  • #NODATA#
  • #NODATA#
  • #NODATA#
  • #NODATA#
  • #NODATA#
  • #NODATA#
  • Melbourne
  • Melbourne
  • Melbourne
  • Melbourne
  • Melbourne
  • Melbourne
  • Melbourne
  • Melbourne
  • Australia
  • Australia
  • Australia
  • Australia
  • Australia
  • Australia
  • Australia
  • Australia
  • https://api.elsevier.com/content/affiliation/affiliation_id/60118847
  • https://api.elsevier.com/content/affiliation/affiliation_id/60118847
  • https://api.elsevier.com/content/affiliation/affiliation_id/60118847
  • https://api.elsevier.com/content/affiliation/affiliation_id/60118847
  • https://api.elsevier.com/content/affiliation/affiliation_id/60118847
  • https://api.elsevier.com/content/affiliation/affiliation_id/60118847
  • https://api.elsevier.com/content/affiliation/affiliation_id/60118847
  • https://api.elsevier.com/content/affiliation/affiliation_id/60118847
Verlag/Körperschaft:
Association for Computing Machinery
Erscheinungsjahr:
2019
Medientyp:
Text
Schlagworte:
  • Accountability
  • Digital ethics
  • Facial analysis
  • Fairness
  • Field study
  • Machine learning
  • Public space
  • Transparency
  • 004: Informatik
  • ddc:004
Beschreibung:
  • PeerReviewed
Quellsystem:
ReposIt
Interne Metadaten
Quelldatensatz
oai:reposit.haw-hamburg.de:20.500.12738/16232