Portraits of Automated Facial Recognition: On Machinic Ways of Seeing the Face

Forskningsoutput: Bok/rapportBok

Abstract

Through a critical perspective on visual culture studies, this book offers a unique analysis of the use of automated facial recognition algorithms as they increasingly intervene in society. The first part of this study traces the history of merging statistics and vision by reviewing the example of an early facial recognition algorithm called »eigenface«, while the second part addresses contemporary artistic interventions including the work of Thomas Ruff, Zach Blas and Trevor Paglen. This book argues for a closer look at automated facial recognition based on an understanding of its technical processes as not only embedded in historical practices of visuality, but also as redefining what it means to see and be seen in the present.

Detaljer

Författare
Enheter & grupper
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Bildkonst
  • Annan data- och informationsvetenskap
  • Kulturstudier
Originalspråkengelska
FörlagTranscript
Antal sidor180
ISBN (elektroniskt)978-3-8394-4846-5
ISBN (tryckt)978-3-8376-4846-1
StatusAccepted/In press - 2019
PublikationskategoriForskning
Peer review utfördNej

Publikationsserier

NamnImage
FörlagTranscript Verlag
Volym162