How do “human” prejudices reemerge in algorithmic cultures allegedly devised to be blind to them? To answer this question, this book investigates a fundamental axiom in computer science: pattern discrimination. By imposing identity on input data, in order to filter—that is, to discriminate—signals from noise, patterns become a highly political issue. Algorithmic identity politics reinstate old forms of social segregation, such as class, race, and gender, through defaults and paradigmatic assumptions about the homophilic nature of connection.
Pattern Discrimination
Publicatie van Kenniscentrum Creating 010
Clemens Apprich, Wendy Hui Kyong Chun, Hito Steyerl, F. Cramer | Boek | Publicatiedatum: 30 oktober 2018