Artificial Intelligence Augmenting Human Teams. A Systematic Literature Review on the Opportunities and Concerns

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Abstract

Artificial intelligence (AI) that can augment human intelligence in teamwork has been addressed in many studies; however, the state-of-the art of scholarly knowledge of the topic itself is missing. Thus, this paper provides a systematic review of the current knowledge on AI in augmenting human teams. The systematic literature review shows that AI working as teammate could augment human teams in important ways in enhancing team coordination, enhancing knowledge sharing and learning, supporting decision making, as well as evaluation and team performance. Further, the review also reveals that there are concerns related with social and machine teammate interaction, design, privacy, and ethics, that need further research to unleash AI technologies’ benefits in increasingly knowledge-intensive and diverse team collaboration.

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Khakurel, J., & Blomqvist, K. (2022). Artificial Intelligence Augmenting Human Teams. A Systematic Literature Review on the Opportunities and Concerns. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13336 LNAI, pp. 51–68). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-05643-7_4

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