Vis enkel innførsel

dc.contributor.authorPaul, Regine
dc.date.accessioned2022-09-30T11:44:57Z
dc.date.available2022-09-30T11:44:57Z
dc.date.created2022-09-28T14:36:24Z
dc.date.issued2022
dc.identifier.issn1946-0171
dc.identifier.urihttps://hdl.handle.net/11250/3022895
dc.description.abstractThe insertion of artificial intelligence technologies (AITs) and data-driven automation in public policymaking should be a metaphorical wake-up call for critical policy analysts. Both its wide representation as techno-solutionist remedy in otherwise slow, inefficient, and biased public decision-making and its regulation as a matter of rational risk analysis are conceptually flawed and democratically problematic. To ‘outsmart’ AI, this article stimulates the articulation of a critical research agenda on AITs and public policy, outlining three interconnected lines of inquiry for future research: (1) interpretivist disclosure of the norms and values that shape perceptions and uses of AITs in public policy, (2) exploration of AITs in public policy as a contingent practice of complex human-machine interactions, and (3) emancipatory critique of how ‘smart’ governance projects and AIT regulation interact with (global) inequalities and power relations.en_US
dc.language.isoengen_US
dc.publisherTaylor & Francisen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleCan critical policy studies outsmart AI? Research agenda on artificial intelligence technologies and public policyen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doihttps://doi.org/10.1080/19460171.2022.2123018
dc.identifier.cristin2056445
dc.source.journalCritical Policy Studiesen_US
dc.identifier.citationCritical Policy Studies. 2022.en_US


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal