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Tidsskrift for velferdsforskning
Article . 2022 . Peer-reviewed
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Tidsskrift for velferdsforskning
Article . 2022
Data sources: DOAJ
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En vidunderlig ny velferdsstat? Rettsstaten møter den digitale velferdsforvaltningen

Authors: Nordrum, Jon Christian Fløysvik; Ikdahl, Ingunn;

En vidunderlig ny velferdsstat? Rettsstaten møter den digitale velferdsforvaltningen

Abstract

Det er stor iver etter å effektivisere den norske velferdsforvaltningen ved hjelp av kunstig intelligens. Bruken av kunstig intelligens utfordrer imidlertid de systemene vi i dag har for å sikre at rettsstatlige prinsipper etterleves i velferdsforvaltningen. Digitaliseringen av masseforvaltningen, og særlig bruk av kunstig intelligens, innebærer en høy risiko for masseproduksjon av feil. Det er allerede mange eksempler på at det kan gå virkelig galt. Den norske rettsstatstenkningen må videreutvikles, og det er behov for et nytt prinsipp: systematisk arbeid for å forebygge systematiske feil. Kun hvis rettsstatsprinsipper integreres i digitaliseringsarbeidet, kan kunstig intelligens styrke velferdsstaten.

Country
Norway
Related Organizations
Keywords

digital velferdsstat, Social pathology. Social and public welfare. Criminology, digital forvaltning, rettsstat, maskinlæring, HV1-9960, Trygderett, forvaltningsrett

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
Green
Published in a Diamond OA journal