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

• Published in: Information & management Vol. 57; no. 2; p. 103174
• Main 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
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01-03-2020
• Subjects: Artificial intelligence; Design; Duality; Research agenda; Team collaboration; Design; Research agenda; Duality; Team collaboration; Artificial intelligence
• ISSN: 0378-7206; 1872-7530
• DOI: 10.1016/j.im.2019.103174

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.