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Pattern Discrimination
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Book Details

Format Paperback / Softback
ISBN-10 1517906458
ISBN-13 9781517906450
Publisher University of Minnesota Press
Imprint University of Minnesota Press
Country of Manufacture GB
Country of Publication GB
Publication Date Nov 13th, 2018
Print length 144 Pages
Weight 146 grams
Dimensions 12.80 x 17.70 x 1.10 cms
Product Classification: Media studies
Ksh 2,500.00
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Bringing together media thinkers and artists from theUnited States and Germany, this volume asks the urgent questions: How can wediscriminate without being discriminatory? How can we filter information out ofdata without reinserting racist, sexist, and classist beliefs? How can we queerhomophilic tendencies within digital cultures?

How do “human” prejudices reemerge in algorithmic cultures allegedly devised to be blind to them?

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.

Instead of providing a more “objective” basis of decision making, machine-learning algorithms deepen bias and further inscribe inequality into media. Yet pattern discrimination is an essential part of human—and nonhuman—cognition. Bringing together media thinkers and artists from the United States and Germany, this volume asks the urgent questions: How can we discriminate without being discriminatory? How can we filter information out of data without reinserting racist, sexist, and classist beliefs? How can we queer homophilic tendencies within digital cultures?


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