dc.contributor.author | Paul, Regine | |
dc.date.accessioned | 2022-09-30T11:44:57Z | |
dc.date.available | 2022-09-30T11:44:57Z | |
dc.date.created | 2022-09-28T14:36:24Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 1946-0171 | |
dc.identifier.uri | https://hdl.handle.net/11250/3022895 | |
dc.description.abstract | The 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.iso | eng | en_US |
dc.publisher | Taylor & Francis | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.title | Can critical policy studies outsmart AI? Research agenda on artificial intelligence technologies and public policy | en_US |
dc.type | Journal article | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | Copyright 2022 The Author(s) | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |
dc.identifier.doi | https://doi.org/10.1080/19460171.2022.2123018 | |
dc.identifier.cristin | 2056445 | |
dc.source.journal | Critical Policy Studies | en_US |
dc.identifier.citation | Critical Policy Studies. 2022. | en_US |