Machines as teammates: A research agenda on AI in team collaboration

Isabella Seeber; Eva Bittner; Robert O. Briggs; Triparna de Vreede; Gert Jan de Vreede; Aaron Elkins; Ronald Maier; Alexander B. Merz; Sarah Oeste-Reiß; Nils Randrup; Gerhard Schwabe; Matthias Söllner

doi:10.1016/j.im.2019.103174

Machines as teammates: A research agenda on AI in team collaboration

Isabella Seeber, Eva Bittner, Robert O. Briggs, Triparna de Vreede, Gert Jan de Vreede, Aaron Elkins, Ronald Maier, Alexander B. Merz, Sarah Oeste-Reiß, Nils Randrup, Gerhard Schwabe, Matthias Söllner

School of Business

Research output: Contribution to journal › Article › peer-review

381 Scopus citations

Abstract

What if artificial intelligence (AI) machines became teammates rather than tools? This paper reports on an international initiative by 65 collaboration scientists to develop a research agenda for exploring the potential risks and benefits of machines as teammates (MaT). They generated 819 research questions. A subteam of 12 converged them to a research agenda comprising three design areas – Machine artifact, Collaboration, and Institution – and 17 dualities – significant effects with the potential for benefit or harm. The MaT research agenda offers a structure and archetypal research questions to organize early thought and research in this new area of study.

Original language	English
Article number	103174
Journal	Information and Management
Volume	57
Issue number	2
DOIs	https://doi.org/10.1016/j.im.2019.103174
State	Published - Mar 2020

Keywords

Artificial intelligence
Design
Duality
Research agenda
Team collaboration

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10.1016/j.im.2019.103174

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title = "Machines as teammates: A research agenda on AI in team collaboration",

abstract = "What if artificial intelligence (AI) machines became teammates rather than tools? This paper reports on an international initiative by 65 collaboration scientists to develop a research agenda for exploring the potential risks and benefits of machines as teammates (MaT). They generated 819 research questions. A subteam of 12 converged them to a research agenda comprising three design areas – Machine artifact, Collaboration, and Institution – and 17 dualities – significant effects with the potential for benefit or harm. The MaT research agenda offers a structure and archetypal research questions to organize early thought and research in this new area of study.",

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AU - de Vreede, Gert Jan

AU - Elkins, Aaron

AU - Maier, Ronald

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Machines as teammates: A research agenda on AI in team collaboration

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Keywords

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