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dc.contributor.authorJarrahi, Mohammad Hossein
dc.contributor.authorLutz, Christoph
dc.contributor.authorNewlands, Gemma Elisabeth Marjorie
dc.date.accessioned2023-01-06T14:01:13Z
dc.date.available2023-01-06T14:01:13Z
dc.date.created2022-11-15T00:38:19Z
dc.date.issued2022
dc.identifier.issn2053-9517
dc.identifier.urihttps://hdl.handle.net/11250/3041640
dc.description.abstractThere is little consensus on what artificial intelligence (AI) systems may or may not embrace. While this may point to multiplicity of interpretations and backgrounds, a lack of conceptual clarity could thwart development of a common ground around the concept among researchers, practitioners and users of AI and pave the way for misinterpretation and abuse of the concept. This article argues that one of the effective ways to delineate the concept of AI is to compare and contrast it with human intelligence. In doing so, the article broaches unique capabilities of humans and AI in relation to one another (human and machine tacit knowledge), as well as two types of AI systems: one that goes beyond human intelligence and one that is necessarily and inherently tied to it. It finally highlights how humans and AI can augment their capabilities and intelligence through synergistic human-AI interactions (i.e., human-augmented AI and augmented human intelligence), resulting in hybrid intelligence, and concludes with a future-looking research agenda.en_US
dc.description.abstractArtificial Intelligence, Human Intelligence and Hybrid Intelligence Based on Mutual Augmentationen_US
dc.language.isoengen_US
dc.publisherSageen_US
dc.relation.urihttps://journals.sagepub.com/doi/epdf/10.1177/20539517221142824
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectArtificial intelligenceen_US
dc.subjecthuman intelligenceen_US
dc.subjecthybrid intelligenceen_US
dc.titleArtificial Intelligence, Human Intelligence and Hybrid Intelligence Based on Mutual Augmentationen_US
dc.title.alternativeArtificial Intelligence, Human Intelligence and Hybrid Intelligence Based on Mutual Augmentationen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.volume9en_US
dc.source.journalBig Data and Societyen_US
dc.source.issue2en_US
dc.identifier.doi10.1177/20539517221142824
dc.identifier.cristin2073895
dc.relation.projectNorges forskningsråd: 275347en_US
dc.relation.projectNorges forskningsråd: 299178en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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