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

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

doi:10.1016/j.im.2019.103174

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Seeber, I., Bittner, E., Briggs, R. O., de Vreede, T., de Vreede, G.-J., Elkins, A., Maier, R., Merz, A. B., Oeste-Reiß, S., Randrup, N., Schwabe, G., & Söllner, M. (2019). Machines as teammates: A research agenda on AI in team collaboration. Information & Management, 1–22. https://doi.org/10.1016/j.im.2019.103174

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