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dc.contributor.authorAcemoglu, Daron
dc.contributor.authorRestrepo, Pascual
dc.date.accessioned2021-10-27T20:30:11Z
dc.date.available2021-10-27T20:30:11Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/135974
dc.description.abstract<jats:title>Abstract</jats:title> <jats:p>Artificial intelligence (AI) is set to influence every aspect of our lives, not least the way production is organised. AI, as a technology platform, can automate tasks previously performed by labour or create new tasks and activities in which humans can be productively employed. Recent technological change has been biased towards automation, with insufficient focus on creating new tasks where labour can be productively employed. The consequences of this choice have been stagnating labour demand, declining labour share in national income, rising inequality and lowering productivity growth. The current tendency is to develop AI in the direction of further automation, but this might mean missing out on the promise of the ‘right’ kind of AI, with better economic and social outcomes.</jats:p>
dc.language.isoen
dc.publisherOxford University Press (OUP)
dc.relation.isversionof10.1093/CJRES/RSZ022
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceMIT web domain
dc.titleThe wrong kind of AI? Artificial intelligence and the future of labour demand
dc.typeArticle
dc.relation.journalCambridge Journal of Regions, Economy and Society
dc.eprint.versionAuthor's final manuscript
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-03-29T15:16:47Z
dspace.orderedauthorsAcemoglu, D; Restrepo, P
dspace.date.submission2021-03-29T15:16:53Z
mit.journal.volume13
mit.journal.issue1
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Needed


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