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

Машины как члены команды: программа исследований искусственного интеллекта в командном взаимодействии
Ronald Maier, Gerhard Schwabe, Robert O. Briggs, Gert‐Jan de Vreede, Eva Bittner, Isabella Seeber, Triparna de Vreede, Aaron Elkins, Alexander Benedikt Merz, Sarah Oeste-Reiß, Nils Randrup, Matthias Söllner
2019-07-06

AI teammateshuman-AI collaborationmachines as teammatesresearch agendateam collaboration
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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A 12-member subteam consolidated the questions into a research agenda with three design areas: Machine Artifact, Collaboration, and Institution.
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An international initiative involving 65 collaboration scientists examined the risks and benefits of AI machines functioning as teammates rather than tools.
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Participants generated 819 research questions about machines as teammates, reflecting the breadth of this emerging research area.
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The agenda identifies 17 dualities representing significant effects of machines as teammates that could produce either benefits or harms.
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The resulting framework provides archetypal research questions for organizing early scholarship on AI-enabled team collaboration.

AI machines functioning as teammates in human team collaboration

The potential benefits, risks, and design implications of integrating AI machines as teammates across machine artifacts, collaboration, and institutions

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2019-07-06
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Authors
Ronald Maier
Gerhard Schwabe
Robert O. Briggs
Gert‐Jan de Vreede
Eva Bittner
Isabella Seeber
Triparna de Vreede
Aaron Elkins
Alexander Benedikt Merz
Sarah Oeste-Reiß
Nils Randrup
Matthias Söllner
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