dc.contributor.author | Gundersen, Odd Erik | |
dc.date.accessioned | 2023-08-16T08:53:11Z | |
dc.date.available | 2023-08-16T08:53:11Z | |
dc.date.created | 2023-06-28T02:19:45Z | |
dc.date.issued | 2023 | |
dc.identifier.isbn | 978-92-64-44154-5 | |
dc.identifier.uri | https://hdl.handle.net/11250/3084329 | |
dc.description.abstract | Several 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.iso | eng | en_US |
dc.publisher | OECD Publishing | en_US |
dc.relation.ispartof | Artificial Intelligence in Science - CHALLENGES, OPPORTUNITIES AND THE FUTURE OF RESEARCH | |
dc.title | Improving reproducibility of artificial intelligence research to increase trust and productivity | en_US |
dc.title.alternative | Improving reproducibility of artificial intelligence research to increase trust and productivity | en_US |
dc.type | Chapter | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | This version will not be available due to the publisher's copyright. | en_US |
dc.source.pagenumber | 262-270 | en_US |
dc.identifier.doi | 10.1787/a8d820bd-en | |
dc.identifier.cristin | 2158869 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |