TY - JOUR
T1 - “Collaborating” with AI
T2 - Taking a system view to explore the future of work
AU - Anthony, Callen
AU - Bechky, Beth A.
AU - Fayard, Anne-Laure
PY - 2023/9
Y1 - 2023/9
N2 - 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.
AB - 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.
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85150937342&origin=inward&txGid=b6a3569b998f4d89f4c9334e51569ad6
U2 - https://doi.org/10.1287/orsc.2022.1651
DO - https://doi.org/10.1287/orsc.2022.1651
M3 - Article
SN - 1047-7039
VL - 34
SP - 1672
EP - 1694
JO - Organization Science
JF - Organization Science
IS - 5
ER -