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The Concept of Agency in the Era of Artificial Intelligence: Dimensions and Degrees

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  • Sai Dattathrani

    (Indian Institute of Management Bangalore)

  • Rahul De’

    (Indian Institute of Management Bangalore)

Abstract

Human and material agency have been investigated in the IS literature to understand how technology and humans influence each other. Some framings of agency treat humans and technology symmetrically, some privilege the agency of humans over technology, and others do not attribute agency to either humans or non-humans. We argue that with the new generation of technologies, such as AI, the notion of agency needs to differentiate between the actions of AI from that of traditional information systems and humans. We introduce the dimensions of agency to differentiate agencies while not privileging any actor. We illustrate the application of dimensions by using it as a lens to study the case of a technician using an AI solution for screening patients for early-stage breast cancer. Through the use of the dimensions of agency we illustrate how the influence of AI over human practice, such as screening for early-stage breast cancer, is higher than the influence of traditional technology. We discuss our contribution to the theory of agency and conclude with a discussion on potential practical applications of the framework.

Suggested Citation

  • Sai Dattathrani & Rahul De’, 2023. "The Concept of Agency in the Era of Artificial Intelligence: Dimensions and Degrees," Information Systems Frontiers, Springer, vol. 25(1), pages 29-54, February.
    • Handle: RePEc:spr:infosf:v:25:y:2023:i:1:d:10.1007_s10796-022-10336-8
    DOI: 10.1007/s10796-022-10336-8
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    References listed on IDEAS

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    1. Pär J. Ågerfalk, 2020. "Artificial intelligence as digital agency," European Journal of Information Systems, Taylor & Francis Journals, vol. 29(1), pages 1-8, January.
    2. Martha S. Feldman & Wanda J. Orlikowski, 2011. "Theorizing Practice and Practicing Theory," Organization Science, INFORMS, vol. 22(5), pages 1240-1253, October.
    3. Gerardine DeSanctis & Marshall Scott Poole, 1994. "Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory," Organization Science, INFORMS, vol. 5(2), pages 121-147, May.
    4. Wanda J. Orlikowski, 2000. "Using Technology and Constituting Structures: A Practice Lens for Studying Technology in Organizations," Organization Science, INFORMS, vol. 11(4), pages 404-428, August.
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    Cited by:

    1. Denis Dennehy & Anastasia Griva & Nancy Pouloudi & Yogesh K. Dwivedi & Matti Mäntymäki & Ilias O. Pappas, 2023. "Artificial Intelligence (AI) and Information Systems: Perspectives to Responsible AI," Information Systems Frontiers, Springer, vol. 25(1), pages 1-7, February.

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