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dc.contributor.authorGundersen, Odd Erik
dc.date.accessioned2023-08-16T08:53:11Z
dc.date.available2023-08-16T08:53:11Z
dc.date.created2023-06-28T02:19:45Z
dc.date.issued2023
dc.identifier.isbn978-92-64-44154-5
dc.identifier.urihttps://hdl.handle.net/11250/3084329
dc.description.abstractSeveral recent studies have shown that many scientific results cannot be trusted. While the “reproducibility crisis” was first recognised in psychology, the problem affects most if not all branches of science. This essay analyses the underlying issues causing research to be irreproducible – with a focus on artificial intelligence (AI) – so that mitigating policies can be formulated.en_US
dc.language.isoengen_US
dc.publisherOECD Publishingen_US
dc.relation.ispartofArtificial Intelligence in Science - CHALLENGES, OPPORTUNITIES AND THE FUTURE OF RESEARCH
dc.titleImproving reproducibility of artificial intelligence research to increase trust and productivityen_US
dc.title.alternativeImproving reproducibility of artificial intelligence research to increase trust and productivityen_US
dc.typeChapteren_US
dc.description.versionpublishedVersionen_US
dc.rights.holderThis version will not be available due to the publisher's copyright.en_US
dc.source.pagenumber262-270en_US
dc.identifier.doi10.1787/a8d820bd-en
dc.identifier.cristin2158869
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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