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 Tr.
Transcript Publishing Portraits of automated facial recognition: on machinic ways of seeing the face, paperback/lila lee-morrison
