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

Seeber, Isabella
Bittner, Eva
Schwabe, Gerhard
Söllner, Matthias
Briggs, Robert Owen
De Vreede, Triparna
De Vreede, Gert-Jan
Elkins, Aaron
Maier, Ronald
Merz, Alexander Benedikt
Oeste-Reiß, Sarah
Randrup, Nils

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
In: Information & Management Volume 57 / Issue 2 (2019-07-06) , S. ; eissn:1872-7530
Collections
@article{doi:10.17170/kobra-202011042075,
  author    ={Seeber, Isabella and Bittner, Eva and Briggs, Robert Owen and De Vreede, Triparna and De Vreede, Gert-Jan and Elkins, Aaron and Maier, Ronald and Merz, Alexander Benedikt and Oeste-Reiß, Sarah and Randrup, Nils and Schwabe, Gerhard and Söllner, Matthias},
  title    ={Machines as teammates: A research agenda on AI in team collaboration},
  keywords ={004 and 300 and Künstliche Intelligenz and Dualität and Forschungsplanung and Kooperation},
  copyright  ={http://creativecommons.org/licenses/by/4.0/},
  language ={en},
  journal  ={Information & Management},
  year   ={2019-07-06}
}