dc.contributor.author | Jarrahi, Mohammad Hossein | |
dc.contributor.author | Lutz, Christoph | |
dc.contributor.author | Newlands, Gemma Elisabeth Marjorie | |
dc.date.accessioned | 2023-01-06T14:01:13Z | |
dc.date.available | 2023-01-06T14:01:13Z | |
dc.date.created | 2022-11-15T00:38:19Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 2053-9517 | |
dc.identifier.uri | https://hdl.handle.net/11250/3041640 | |
dc.description.abstract | There 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.abstract | Artificial Intelligence, Human Intelligence and Hybrid Intelligence Based on Mutual Augmentation | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Sage | en_US |
dc.relation.uri | https://journals.sagepub.com/doi/epdf/10.1177/20539517221142824 | |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.subject | Artificial intelligence | en_US |
dc.subject | human intelligence | en_US |
dc.subject | hybrid intelligence | en_US |
dc.title | Artificial Intelligence, Human Intelligence and Hybrid Intelligence Based on Mutual Augmentation | en_US |
dc.title.alternative | Artificial Intelligence, Human Intelligence and Hybrid Intelligence Based on Mutual Augmentation | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.volume | 9 | en_US |
dc.source.journal | Big Data and Society | en_US |
dc.source.issue | 2 | en_US |
dc.identifier.doi | 10.1177/20539517221142824 | |
dc.identifier.cristin | 2073895 | |
dc.relation.project | Norges forskningsråd: 275347 | en_US |
dc.relation.project | Norges forskningsråd: 299178 | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |