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dc.contributor.authorLarsson, Karl Kristian
dc.contributor.authorHaldar, Marit
dc.identifier.citationJournal of Extreme Anthropology. 2021, 5 (1), 56-77.en_US
dc.description.abstractInformation-driven automated systems that deliver services proactively to citizens in need are heralded as the next level of digital government. There is, however, concern that such systems make welfare services less accessible to some citizens. This study uses the case of Norway’s child benefit system to discuss the general obstacles to having welfare policies implemented by proactive digital systems. Norway’s automated child benefit system uses data from Norway’s national resident register to award this benefit to eligible parents whom the system identifies. As such, it is representative of many government systems that use registry data to perform tasks previously done by caseworkers. While the eligibility rules for child benefits are simple, and the register has sufficient data to automate most cases, many parents are not awarded the benefit automatically. This article argues that when developing automated digital services, public administrators are faced with a trilemma. Ideally, proactive automation should be (1) precise in its delivery, (2) inclusive of all citizens, and (3) still support welfare-oriented policies that are independent of the requirements of the digital system. However, limitations with each requirement prevent all three from being realized at the same time. Only two can be simultaneously realized: a public administrator must decide which of them to forego. Consequently, automated services cannot meet all the expectations of policymakers regarding the benefits of digital government. Instead, governments need to find ways of utilizing the benefits of public digitalisation without infringing on citizens’ right to be treated equally and fairly by the government.en_US
dc.description.sponsorshipThis research for this paper was co-financed by the Norwegian Labour and Welfare Administration (NAV) and the Research Council of Norway [grant number 289920] as part of the Public Sector Ph.D. scheme.en_US
dc.publisherUniversitetet i Osloen_US
dc.relation.ispartofseriesJournal of Extreme Anthropology;Vol. 5 No. 1 (2021): Algorithmic Governance: Fantasies of Social Control
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.subjectAdministrative exclusionsen_US
dc.subjectAutomated decision-makingen_US
dc.subjectDigital citizenshipsen_US
dc.subjectDigital dividesen_US
dc.titleCan Computers Automate Welfare? Norwegian Efforts to Make Welfare Policy More Effectiveen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.rights.holderCopyright (c) 2021 Marit Haldar, Karl Kristian Larssonen_US
dc.source.journalJournal of Extreme Anthropologyen_US
dc.relation.projectNorges forskningsråd: 289920en_US

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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal