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DESCRIPTION:Join Centre for Media\, Technology & Democracy Research Directo
 r\, Sonja Solomun for a discussion with Wendy Hui Kyong Chun about her new
 ly published book Discriminating Data: Correlation\, Neighborhoods\, and t
 he New Politics of Recognition (MIT Press). The discussion will take place
  on November 30th from 12:00 – 1:00 P.M. ET.\n\nREGISTER HERE>>\n\nRegistr
 ation for the event is free and open to the public.\n\nEvent Summary\n\nHo
 w big data and machine learning encode discrimination and create agitated 
 clusters of comforting rage.\n\nIn Discriminating Data\, Wendy Hui Kyong C
 hun reveals how polarization is a goal—not an error—within big data and ma
 chine 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 “t
 rained” to become authentically predictable via a politics and technology 
 of recognition. Machine learning and data analytics thus seek to disrupt t
 he future by making disruption impossible.\n\nChun\, 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 i
 nclude race as a category\, they embed whiteness as a default. Facial reco
 gnition technology\, for example\, relies on the faces of Hollywood celebr
 ities 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 t
 echnology deploys models trained on studies of predominantly underserved n
 eighborhoods. Trained on selected and often discriminatory or dirty data\,
  these algorithms are only validated if they mirror this data.\n\nHow can 
 we release ourselves from the vice-like grip of discriminatory data? Chun 
 calls for alternative algorithms\, defaults\, and interdisciplinary coalit
 ions in order to desegregate networks and foster a more democratic big dat
 a.\n
DTSTART:20211130T170000Z
DTEND:20211130T180000Z
SUMMARY:'Discriminating Data' Book Discussion with Wendy Hui Kyong Chun
URL:/maxbellschool/channels/event/discriminating-data-
 book-discussion-wendy-hui-kyong-chun-335184
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