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Paper Type
ERF
Description
This article calls for developing new explanations for organizational decision-making with artificial intelligence and proposes new theorization. While previous IT artifacts functioned as facilitators to support individuals' and organizations’ capabilities, AI, with its autonomous ability, exercises control and right in decision-making, showing the characteristics of an active agent. Although disruptive impacts of AI emerge in organizational decision-making because of such a characteristic, current studies on decision-making with AI neglect to address the characteristic to explain the effective decision-making structure. Accordingly, this study emphasizes the necessity of new theorization conceptualizing AI as an agent and proposes how this research in progress will be conducted.
Paper Number
1026
Recommended Citation
Kim, Eunyoung and Marakas, George M., "New theorizing for organizational decision-making with AI as an agent" (2023). AMCIS 2023 Proceedings. 2.
https://aisel.aisnet.org/amcis2023/sig_odis/sig_odis/2
New theorizing for organizational decision-making with AI as an agent
This article calls for developing new explanations for organizational decision-making with artificial intelligence and proposes new theorization. While previous IT artifacts functioned as facilitators to support individuals' and organizations’ capabilities, AI, with its autonomous ability, exercises control and right in decision-making, showing the characteristics of an active agent. Although disruptive impacts of AI emerge in organizational decision-making because of such a characteristic, current studies on decision-making with AI neglect to address the characteristic to explain the effective decision-making structure. Accordingly, this study emphasizes the necessity of new theorization conceptualizing AI as an agent and proposes how this research in progress will be conducted.
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