Machines as teammates: A research agenda on AI in team collaboration
Машины как члены команды: программа исследований искусственного интеллекта в командном взаимодействии
2019-07-06
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Abstract (AI)
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.
Key Findings
1
A 12-member subteam consolidated the questions into a research agenda with three design areas: Machine Artifact, Collaboration, and Institution.
2
An international initiative involving 65 collaboration scientists examined the risks and benefits of AI machines functioning as teammates rather than tools.
3
Participants generated 819 research questions about machines as teammates, reflecting the breadth of this emerging research area.
4
The agenda identifies 17 dualities representing significant effects of machines as teammates that could produce either benefits or harms.
5
The resulting framework provides archetypal research questions for organizing early scholarship on AI-enabled team collaboration.
Research Object
AI machines functioning as teammates in human team collaboration
Research Subject
The potential benefits, risks, and design implications of integrating AI machines as teammates across machine artifacts, collaboration, and institutions
Publication Details
Publication Date
2019-07-06
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