Data production dispositif

dc.contributor.authorMiceli, Milagros
dc.contributor.authorPosada, Julian
dc.date.accessioned2022-04-21T14:53:35Z
dc.date.available2022-04-21T14:53:35Z
dc.date.issued2022-10
dc.description.abstractThis “dispositive” analysis explores the sites where production of machine learning (ML) data is outsourced. It comprises examination of 210 data-work instruction documents, 55 interviews with data workers, managers, and requesters, and participant observation. Findings show that specific discourses encoded in task instructions reproduce and normalize the worldviews of requesters. Precarious working conditions and economic dependency alienates workers, making them obedient to instructions. Outsourced workers are paid as low as a few cents per task, usually lack social protection traditionally tied with employment relations, and are subject to systems of control and surveillance. Tables provide a synopsis of task segmentation with brief analysis.en
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10625/61007
dc.language.isoen
dc.subjectPRECARIOUS EMPLOYMENTen
dc.subjectARTIFICIAL INTELLIGENCEen
dc.subjectALGORITHMSen
dc.subjectMACHINE LEARNINGen
dc.subjectBASE OF PYRAMIDen
dc.subjectSEARCH ENGINESen
dc.subjectDATA COLLECTIONen
dc.subjectDATA MININGen
dc.subjectSURVEILLANCEen
dc.subjectLABOUR LAWen
dc.subjectHUMAN RIGHTS VIOLATIONSen
dc.subjectSOCIAL PROTECTIONen
dc.subjectSOUTH AMERICAen
dc.subjectGLOBALen
dc.titleData production dispositifen
dc.typeJournal Articleen
idrc.copyright.holder© 2022 Association for Computing Machinery
idrc.copyright.oapermissionsourceCC BY-NCen
idrc.dspace.accessOpen Accessen
idrc.project.componentnumber109418017
idrc.project.number109418
idrc.project.titleBuilding the leaders for today and tomorrow – Centre Awards 2020–2021en
idrc.recordsserver.bcsnumberQSWE2NNTMQPJ-907143584-655306
idrc.rims.adhocgroupIDRC SUPPORTEDen

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