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dc.contributor.authorBotnevik, Stian
dc.contributor.authorBelinskiy, Andrey
dc.contributor.authorAsotic, Edis
dc.contributor.authorPlatou, Herman Stoud
dc.contributor.authorSøvik, Thomas
dc.contributor.authorSlavkovik, Marija
dc.date.accessioned2021-07-13T07:51:16Z
dc.date.available2021-07-13T07:51:16Z
dc.date.created2020-12-15T11:41:09Z
dc.date.issued2020
dc.identifier.isbn978-3-540-68164-9
dc.identifier.issn1892-0713
dc.identifier.urihttps://hdl.handle.net/11250/2764228
dc.description.abstractThe Norwegian National Strategy for Artificial Intelligence (NNSAI) published in 2020 includes seven principles of ethical AI. This paper explores whether those seven principles are stated in a clear enough way and are feasible to be satisfied by a specific AI system. We build an implementation of the Gale-Shapley algorithm to allocate kindergarten places in Bergen, Norway. The presented solution is then evaluated against the ethical principles from the NNSAI. We argue that it is difficult to respect all the ethical principles when implementing a solution to a matching problem.en_US
dc.language.isoengen_US
dc.publisherNorsk IKT-konferanse for forskning og utdanningen_US
dc.relation.ispartofNIKT: Norsk IKT-konferanse for forskning og utdanning 2020
dc.titleAddressing the ethical principles of the Norwegian National Strategy for AI in a kindergarten allocation systemen_US
dc.typeChapteren_US
dc.description.versionpublishedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
dc.identifier.cristin1859951
dc.identifier.citationNIK Norsk informatikkonferanse. 2020, 1.en_US


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