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Artificial intelligence and the world of work, a co‐constitutive relationship
dc.contributor.authorØsterlund, Carsten
dc.contributor.authorJarrahi, Mohammad Hossein
dc.contributor.authorWillis, Matthew
dc.contributor.authorBoyd, Karen
dc.contributor.authorWolf, Christine
dc.date.accessioned2021-01-05T18:46:33Z
dc.date.availableWITHHELD_13_MONTHS
dc.date.available2021-01-05T18:46:33Z
dc.date.issued2021-01
dc.identifier.citationØsterlund, Carsten ; Jarrahi, Mohammad Hossein; Willis, Matthew; Boyd, Karen; Wolf, Christine (2021). "Artificial intelligence and the world of work, a co‐constitutive relationship." Journal of the Association for Information Science and Technology 72(1): 128-135.
dc.identifier.issn2330-1635
dc.identifier.issn2330-1643
dc.identifier.urihttps://hdl.handle.net/2027.42/163869
dc.description.abstractThe use of intelligent machines—digital technologies that feature data‐driven forms of customization, learning, and autonomous action—is rapidly growing and will continue to impact many industries and domains. This is consequential for communities of researchers, educators, and practitioners concerned with studying, supporting, and educating information professionals. In the face of new developments in artificial intelligence (AI), the research community faces 3 questions: (a) How is AI becoming part of the world of work? (b) How is the world of work becoming part of AI? and (c) How can the information community help address this topic of Work in the Age of Intelligent Machines (WAIM)? This opinion piece considers these 3 questions by drawing on discussion from an engaging 2019 iConference workshop organized by the NSF supported WAIM research coordination network (note: https://waim.network).
dc.publisherJohn Wiley & Sons, Inc.
dc.titleArtificial intelligence and the world of work, a co‐constitutive relationship
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelInformation Science
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/163869/1/asi24388_am.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/163869/2/asi24388.pdf
dc.identifier.doi10.1002/asi.24388
dc.identifier.sourceJournal of the Association for Information Science and Technology
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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