Lee-Morrison Portraits of Automated Facial Recognition

On Machinic Ways of Seeing the Face
1. Auflage 2019
ISBN: 978-3-8394-4846-5
Verlag: transcript
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)

E-Book, Englisch, 198 Seiten, Format (B × H): 148 mm x 225 mm

Reihe: Image

Automated facial recognition algorithms are increasingly intervening in society. This book offers a unique analysis of these algorithms from a critical visual culture studies perspective. The first part of this study examines the example of an early facial recognition algorithm called 'eigenface' and traces a history of the merging of statistics and vision. The second part addresses contemporary artistic engagements with facial recognition technology in the work of Thomas Ruff, Zach Blas, and Trevor Paglen. This book argues that we must take a closer look at the technology of automated facial recognition and claims that its forms of representation are embedded with visual politics. Even more significantly, this technology is redefining what it means to see and be seen in the contemporary world.

Autoren/Hrsg.

Lee-Morrison, Lila

Fachgebiete

• Geisteswissenschaften Kunst Kunst, allgemein Kunsttheorie, Kunstphilosophie
• Geisteswissenschaften Kunst Kunstformen, Kunsthandwerk Installations-, Aktions-, Computer- und Videokunst

Über Autor(innen)

Lee-Morrison, Lila
Lila Lee-Morrison, born in 1977, is a PhD student of Art History and Visual Studies at Lund University, Sweden. She has published texts on the political and cultural implications of machine vision, including the use of biometrics and drone warfare. She received a B.A. in Political Science from Hunter College, NY and an M.A. in Visual Culture from Lund University.

Lila Lee-Morrison, born in 1977, is a PhD student of Art History and Visual Studies at Lund University, Sweden. She has published texts on the political and cultural implications of machine vision, including the use of biometrics and drone warfare. She received a B.A. in Political Science from Hunter College, NY and an M.A. in Visual Culture from Lund University.