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Cited by 370

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

“Collaborating” with AI: Taking a System View to Explore the Future of Work

Anthony, Callen, Bechky, Beth A., Fayard, Anne-Laure·2023·Organization Science
DOI 10.1287/orsc.2022.1651
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Abstract

In the wake of media hype about artificial intelligence (AI)/human collaboration, organizations are investing considerable resources into developing and using AI. In this paper, we draw on theories of technology in organizations to frame new directions for the study of what it means to work “with” AI. Drawing on prior literature, we consider how interactions between users and AI might unfold through theoretical lenses which cast technology as a tool and as a medium. Reflecting on how AI technologies diverge from technologies studied in the past, we propose a new perspective, which considers technology as a counterpart in a system of work that includes its design, implementation, and use. This perspective encourages developing a grounded understanding of how AI intersects with work, and therefore ethnography, building on thick descriptions, is an apt approach. We argue that relational ethnographic approaches can assist organization theorists in navigating the methodological challenges of taking a counterpart perspective and propose several strategies for future research. Funding: The research was partially funded from the European Union’s Horizon 2020 research and innovation program under grant agreement no. 951735.

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Cited by

Metadata

Authors
Anthony, C., Bechky, B. A., & Fayard, A.-L.
Venue
Organization Science
Publisher
Institute for Operations Research and the Management Sciences (INFORMS)
Published
2023-09
Volume
34
Issue
5
Pages
1672-1694
ISSN
  • 1047-7039 (ISSN-L)
  • 1526-5455
DOI
10.1287/orsc.2022.1651
OpenAlex
W4313890705
Cited by
370
References
30
FWCI
161.11
Type
journal article
Language
en
Open access
closed

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