Integrating artificial intelligence into team decision‐making: Toward a theory of AI–human team effectiveness

Abstract Artificial intelligence (AI), a technological advancement radically affecting the workplace of the future, offers benefits for decision‐making processes. The most critical organizational decisions typically occur through teams. However, team theories are fundamentally psychosocial, and AI disrupts this context by introducing a non‐human actor. Therefore, negative implications of AI's role must also be understood. Toward theory on the effective integration of AI into team decision‐making, we synthesize the literatures on team effectiveness and team decision‐making with research from cognate disciplines on human–technology interaction and teaming. Based on this synthesis, we offer propositions highlighting key variable relationships and negative side effects that must be accounted for in AI–human team decision‐making and follow with practical suggestions for management's adaption to this new context. Overall, our analysis emphasizes critical themes, constructs, and relationships valuable for further research aimed at modernizing theory and practice in the face of this emerging technological shift.

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Publication Details

Journal
European Management Review
Published
2024-10-17
DOI
https://doi.org/10.1111/emre.12685
Citations
8
Primary Topic
Team Dynamics and Performance
Type
article
Field-Weighted Citation Impact
5.15
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article

Integrating artificial intelligence into team decision‐making: Toward a theory of AI–human team effectiveness

Kevin T. Wynne, William Carter
8 citations
European Management Review
Team Dynamics and Performance
5.15
article

Integrating artificial intelligence into team decision‐making: Toward a theory of AI–human team effectiveness

Kevin T. Wynne, William Carter
article en
8 citations

Abstract

Abstract Artificial intelligence (AI), a technological advancement radically affecting the workplace of the future, offers benefits for decision‐making processes. The most critical organizational decisions typically occur through teams. However, team theories are fundamentally psychosocial, and AI disrupts this context by introducing a non‐human actor. Therefore, negative implications of AI's role must also be understood. Toward theory on the effective integration of AI into team decision‐making, we synthesize the literatures on team effectiveness and team decision‐making with research from cognate disciplines on human–technology interaction and teaming. Based on this synthesis, we offer propositions highlighting key variable relationships and negative side effects that must be accounted for in AI–human team decision‐making and follow with practical suggestions for management's adaption to this new context. Overall, our analysis emphasizes critical themes, constructs, and relationships valuable for further research aimed at modernizing theory and practice in the face of this emerging technological shift.

European Management Review
University of Baltimore (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Team Dynamics and Performance
5.15
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