Lila Lee-Morrison
Postdoc
Portraits of Automated Facial Recognition : On Machinic Ways of Seeing the Face
Författare
Summary, in English
This analysis draws on two primary genres of image sources: firstly, technical images that result from an algorithmic process of facial recognition and secondly, artistic images of contemporary artists who intervene with facial recognition technology. The first part of this study historicizes an early facial recognition algorithm called “eigenface” by relating its processes of recognition with a practice of composite portraiture, invented by Francis Galton in the 1880s as part of his larger project of eugenics. Both the technical processes of eigenface and Galton’s composite portraiture practice reference a merging of statistical logic with vision, as a means of recognition. As a counter aesthetic approach, the discussion moves to an alternate reading of the composite portrait by Ludwig Wittgenstein in the context of his philosophical investigations. The second part addresses contemporary artistic engagements with facial recognition technology that articulate the contemporary cultural and political implications of the technology. Notions of representation, identity and algorithmic meaning production in relation to facial recognition is explored through the work of Thomas Ruff, Zach Blas and Trevor Paglen.
This investigation is interdisciplinary and draws on a wide range of discourse including the fields of computer science, sociology, philosophy, media studies and contemporary art. This book argues that we must take a closer look at how the enactment of recognition occurs through automated facial recognition technology and that it is indeed embedded with a visual politics. Even more significantly, this technology, the book argues, is redefining what it means to see and be seen in the contemporary world.
Avdelning/ar
- Avdelningen för konsthistoria och visuella studier
Publiceringsår
2019-10-24
Språk
Engelska
Publikation/Tidskrift/Serie
Image
Volym
162
Fulltext
- Available as PDF - 10 MB
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Dokumenttyp
Doktorsavhandling
Förlag
Transcript-Verlag
Ämne
- Art History
Status
Published
Handledare
- Max Liljefors
ISBN/ISSN/Övrigt
- ISBN: 978-3-8376-4846-1
- ISBN: 978-3-8394-4846-5
Försvarsdatum
22 november 2019
Försvarstid
13:00
Försvarsplats
LUX B121
Opponent
- Joanna Zylinska (professor)