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Situating artificial intelligence in organization: A human-machine relationship perspective

Lookup NU author(s): Dr Xin LiORCiD, Dr Xinwei ShiORCiD

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).

Abstract

The increasing advancements in artificial intelligence (AI) technology have resulted in greater adoption of intelligent devices, such as industrial and service robots. Such context substantially influences the routine processes of operations, thereby promoting the ongoing evolutionary development of human-machine interaction. Here, we analyze an interesting article published in the Academy of Management Review (AMR) by Ayenda Kemp, who proposes the concept of situated AI for discussing AI-driven competitive advantages. In our alternative framework of situating AI in the organization, we identify three aspects of the human-machine relationship—cohesion, autonomy, and equality—and associate them with three redefined situating activities—anchoring, bounding, and calibrating, to bring the full potential of AI to an organization. We believe this defined framework can further contribute to relevant literature in the field of digital economy.

Publication metadata

Author(s): Li X, Rong K, Shi X

Publication type: Article

Publication status: Published

Journal: Journal of Digital Economy

Year: 2024

Issue: ePub ahead of Print

Online publication date: 07/01/2024

Acceptance date: 06/01/2024

Date deposited: 05/02/2024

ISSN (electronic): 2773-0670

Publisher: KeAi Publishing Communications Ltd.

URL: https://doi.org/10.1016/j.jdec.2024.01.001

DOI: 10.1016/j.jdec.2024.01.001

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