Miscellany:
Pattern Discrimination

dc.contributor.editorApprich, Clemens
dc.contributor.editorChun, Wendy Hui Kyong
dc.contributor.editorCramer, Florian
dc.contributor.editorSteyerl, Hito
dc.date.accessioned2019-03-25T14:30:27Z
dc.date.available2019-03-25T14:30:27Z
dc.date.issued2018
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?en
dc.description.tableofcontents<ul> <li><a href ='https://doi.org/10.25969/mediarep/12352'>Clemens Apprich: <i>Introduction</i></a></li> <li><a href ='https://doi.org/10.25969/mediarep/12348'>Hito Steyerl: <i>A Sea of Data: Pattern Recognition and Corporate Animism (Forked Version)</i></a></li> <li><a href ='https://doi.org/10.25969/mediarep/12349'>Florian Cramer: <i>Crapularity Hermeneutics: Interpretation as the Blind Spot of Analytics, Artificial Intelligence, and Other Algorithmic Producers of the Postapocalyptic Present</i></a></li> <li><a href ='https://doi.org/10.25969/mediarep/12350'>Wendy Hui Kyong Chun: <i>Queerying Homophily</i></a></li> <li><a href ='https://doi.org/10.25969/mediarep/12351'>Clemens Apprich: <i>Data Paranoia: How to Make Sense of Pattern Discrimination</i></a></li> </ul>
dc.identifier.doi10.14619/1457
dc.identifier.doihttp://dx.doi.org/10.25969/mediarep/3655
dc.identifier.isbnisbn:9783957961457
dc.identifier.urihttps://mediarep.org/handle/doc/4407
dc.languageeng
dc.publishermeson press
dc.publisherUniversity of Minnesota Press
dc.publisher.placeMinneapolis
dc.publisher.placeLüneburg
dc.relation.isReviewedByurl:https://mediarep.org/handle/doc/16078
dc.rightsCreative Commons Attribution Non Commercial 4.0 Generic
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0
dc.subjectcritical algorithm studiesen
dc.subjectartificial intelligenceen
dc.subjectAlgorithmusde
dc.subjectalgorithmen
dc.subjectKünstliche Intelligenzde
dc.subject.ddcddc:384
dc.titlePattern Discriminationen
dc.typebook
dc.type.statuspublishedVersion
dcterms.bibliographicCitationApprich, Clemens et al. (Hg.) (2018): Pattern Discrimination. Minneapolis, Lüneburg: University of Minnesota Press; meson press (In Search of Media). DOI: 10.14619/1457.
dspace.entity.typeMiscen
local.academicbookseriesIn Search of Media
local.coverpage2021-05-29T01:32:24
local.identifier.firstpublishedhttps://doi.org/10.14619/1457
local.source.volume1
relation.isPublisherOfMisc5d4a78bd-1afd-4f12-a274-2ec9dfe99828
relation.isPublisherOfMisc11611c80-4629-4991-b4f8-e88fd454b837
relation.isPublisherOfMisc.latestForDiscovery5d4a78bd-1afd-4f12-a274-2ec9dfe99828

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