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dc.date.accessioned2020-08-18T19:16:05Z
dc.date.available2020-08-18T19:16:05Z
dc.date.created2020-05-28T14:27:11Z
dc.date.issued2020
dc.identifier.citationGrønsund, Tor Rolfsen Aanestad, Margunn . Augmenting the algorithm: emerging human-in-the-loop work configurations. Journal of strategic information systems. 2020
dc.identifier.urihttp://hdl.handle.net/10852/78524
dc.description.abstractHow do configurations of humans and algorithms evolve as firms adopt artificial intelligence (AI) capabilities, and what are the implications for work and organization? We explored these questions through a two-year long case study of an organization in the international maritime trade that introduced automated algorithmic support for data analysis and prediction work. Drawing on a human–machine configuration perspective, we found that humans and the algorithm were configured and reconfigured in multiple ways over time as the organization dealt with the introduction of algorithmic analysis. In contrast to replacing human work, the emergent configurations required new roles and redistribution of extant expertise to augment and improve the accuracy of the algorithm. Our analysis suggests that the new configuration resembled a human-in-the-loop pattern, comprised of both the augmentation work of auditing (i.e. the generation of a ground truth and assessment of the algorithmic output against this) as well as the work of altering the algorithm and the data acquisition architecture. Our research points to the strategic importance of a human-in-the-loop pattern for organizational reflexivity to ensure that the performance of the algorithm meets the organization’s requirements and changes in the environment.
dc.languageEN
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleAugmenting the algorithm: emerging human-in-the-loop work configurations
dc.typeJournal article
dc.creator.authorGrønsund, Tor Rolfsen
dc.creator.authorAanestad, Margunn
cristin.unitcode185,15,5,91
cristin.unitnameDIG Digitalisering
cristin.ispublishedfalse
cristin.fulltextpostprint
cristin.qualitycode2
dc.identifier.cristin1813063
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal of strategic information systems&rft.volume=&rft.spage=&rft.date=2020
dc.identifier.jtitleJournal of strategic information systems
dc.identifier.urnURN:NBN:no-81604
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0963-8687
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/78524/5/1-s2.0-S0963868720300226-main.pdf
dc.type.versionPublishedVersion
cristin.articleid101614
dc.relation.projectNFR/277361


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Attribution-NonCommercial-NoDerivatives 4.0 International
This item's license is: Attribution-NonCommercial-NoDerivatives 4.0 International