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dc.contributor.editorApprich, Clemens
dc.contributor.editorCramer, Florian
dc.contributor.editorHui Kyong Chun, Wendy
dc.contributor.editorSteyerl, Hito
dc.date.accessioned2025-03-08T11:25:49Z
dc.date.available2025-03-08T11:25:49Z
dc.date.issued2018
dc.date.submitted2020-05-04T14:50:47Z
dc.identifierBook_9783957961457_20200504_9
dc.identifierhttp://library.oapen.org/handle/20.500.12657/37551
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/197074
dc.description.abstractAlgorithmic identity politics reinstate old forms of social segregation—in a digital world, identity politics is pattern discrimination. It is by recognizing patterns in input data that Artificial Intelligence algorithms create bias and practice racial exclusions thereby inscribing power relations into media. How can we filter information out of data without reinserting racist, sexist, and classist beliefs?
dc.languageEnglish
dc.relation.ispartofseriesIn Search of Media
dc.rightsopen access
dc.subject.otherMedia Studies
dc.subject.otherArtificial Intelligence
dc.subject.otherCritical Algorithm Studies
dc.subject.otherthema EDItEUR::A The Arts::AT Performing arts::ATF Films, cinema
dc.subject.otherthema EDItEUR::A The Arts::AT Performing arts::ATJ Television
dc.titlePattern Discrimination
dc.typebook
oapen.identifier.doi10.14619/1457
oapen.relation.isPublishedByac472089-6d55-48f6-b3d5-e22eef42c7db
oapen.collectionScholarLed
oapen.pages124


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