[PDF] Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition by

Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition.

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ISBN: 9780262046220 | 344 pages | 9 Mb

• Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition
• Page: 344
• Format: pdf, ePub, fb2, mobi
• ISBN: 9780262046220
• Publisher: MIT Press

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How big data and machine learning encode discrimination and create agitated clusters of comforting rage. In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal—not an error—within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds big data’s predictive potential, stems from twentieth-century eugenic attempts to “breed” a better future. Recommender systems foster angry clusters of sameness through homophily. Users are “trained” to become authentically predictable via a politics and technology of recognition. Machine learning and data analytics thus seek to disrupt the future by making disruption impossible. Chun, who has a background in systems design engineering as well as media studies and cultural theory, explains that although machine learning algorithms may not officially include race as a category, they embed whiteness as a default. Facial recognition technology, for example, relies on the faces of Hollywood celebrities and university undergraduates—groups not famous for their diversity. Homophily emerged as a concept to describe white U.S. resident attitudes to living in biracial yet segregated public housing. Predictive policing technology deploys models trained on studies of predominantly underserved neighborhoods. Trained on selected and often discriminatory or dirty data, these algorithms are only validated if they mirror this data. How can we release ourselves from the vice-like grip of discriminatory data? Chun calls for alternative algorithms, defaults, and interdisciplinary coalitions in order to desegregate networks and foster a more democratic big data.

Discriminating Data: Correlation, Neighborhoods, and the New
Discriminating Data · Correlation, Neighborhoods, and the New Politics of Recognition (Hardcover) ; Description. How big data and machine learning encode 
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Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition. Wendy Hui Kyong. Chun (mathematical illustrations by Alex 
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Discriminating Data: Correlation, Neighborhoods, and the New Politics of become authentically predictable via a politics and technology of recognition.
Discriminating Data | Alexander R. Galloway - Media, Culture
I suggested Wendy Hui Kyong Chun's excellent new book Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition 
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Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition How big data and machine learning encode discrimination 
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Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition (Hardcover). By Wendy Hui Kyong Chun, Alex Barnett (Illustrator) 
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Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition How big data and machine learning encode discrimination and create 
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In Discriminating Data, Wendy Hui Kyong Chun reveals how Correlation, Neighborhoods, and the New Politics of Recognition (HC) (2021).
Proxies, or Reconstructing the Unknown | Discriminating Data
Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition · Proxies, or Reconstructing the Unknown.
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Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition is written by Wendy Hui Kyong Chun and published by The MIT Press.
Discriminating Data: Correlation, Neighborhoods, and the New
Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition (Hardcover) · Description · About the Author 
“Discriminating Data” Book Discussion with Wendy Hui Kyong
book Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition (MIT Press). More about Discriminating Data.Nov 30, 2021 · Uploaded by Centre for Media, Technology & Democracy

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