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

Publication Type:

Journal Article

Authors:

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

Source:

Information and Management, Elsevier, Volume 57, Number 2, p.103174 (2020)

URL:

https://doi.org/10.1016/j.im.2019.103174

Keywords:

artificial intelligence, Design, Duality, Research agenda, 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.