Machines as teammates: A research agenda on AI in team collaboration
Universität Innsbruck · Universität Hamburg · +6 more institutions
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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.
Citation impact
669
total citations
- FWCI
- 100.59
- Percentile
- 100%
- References
- 52
Citations per year
Authors
12Topics & keywords
Topics
Keywords
- Artifact (error)
- Harm
- Institution
- Knowledge management
- Engineering
- Political science
- Engineering ethics
- Public relations
UN Sustainable Development Goals
- Partnerships for the goals
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