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dc.contributor.authorKoivisto, Mika
dc.contributor.authorGrassini, Simone
dc.date.accessioned2023-12-21T14:13:38Z
dc.date.available2023-12-21T14:13:38Z
dc.date.created2023-10-10T13:08:47Z
dc.date.issued2023
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/11250/3108662
dc.description.abstractCreativity has traditionally been considered an ability exclusive to human beings. However, the rapid development of artificial intelligence (AI) has resulted in generative AI chatbots that can produce high-quality artworks, raising questions about the differences between human and machine creativity. In this study, we compared the creativity of humans (n = 256) with that of three current AI chatbots using the alternate uses task (AUT), which is the most used divergent thinking task. Participants were asked to generate uncommon and creative uses for everyday objects. On average, the AI chatbots outperformed human participants. While human responses included poor-quality ideas, the chatbots generally produced more creative responses. However, the best human ideas still matched or exceed those of the chatbots. While this study highlights the potential of AI as a tool to enhance creativity, it also underscores the unique and complex nature of human creativity that may be difficult to fully replicate or surpass with AI technology. The study provides insights into the relationship between human and machine creativity, which is related to important questions about the future of creative work in the age of AI.en_US
dc.language.isoengen_US
dc.publisherNatureen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleBest humans still outperform artificial intelligence in a creative divergent thinking tasken_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.source.articlenumber13601en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1038/s41598-023-40858-3
dc.identifier.cristin2183347
dc.source.journalScientific Reportsen_US
dc.identifier.citationScientific Reports. 2023, 13, 13601.en_US
dc.source.volume13en_US


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