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DTSTART:20210314T070000
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DTSTART:20211107T060000
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UID:69d5dc75a2c03
DTSTART;TZID=America/Toronto:20220210T190000
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TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20220210T200000
URL:https://uwaterloo.ca/systems-design-engineering/events/critical-tech-ta
 lk-2-discriminating-data-conversation-wendy
SUMMARY:Critical Tech Talk 2: Discriminating Data - In Conversation with We
 ndy\nChun
CLASS:PUBLIC
DESCRIPTION:In her most recent book\, Discriminating Data (2021)\, Wendy Ch
 un\nreveals how polarization is a goal—not an error—within big data\na
 nd machine learning. These methods\, she argues\, encode segregation\,\neu
 genics\, and identity politics through their default assumptions and\ncond
 itions. Correlation\, which grounds big data's predictive\npotential\, ste
 ms from twentieth-century eugenic attempts to\n“breed” a better future
 . Recommender systems foster angry clusters\nof sameness through homophily
 . Users are “trained” to become\nauthentically predictable via a polit
 ics and technology of\nrecognition.
DTSTAMP:20260408T044125Z
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