TY - JOUR T1 - Machines as teammates: A research agenda on AI in team collaboration JF - Information and Management Y1 - 2020 A1 - Seeber, Isabella A1 - Bittner, Eva A1 - Briggs, Robert O A1 - de Vreede, Triparna A1 - de Vreede, Gert Jan A1 - Elkins, Aaron A1 - Maier, Ronald A1 - Merz, Alexander B A1 - Oeste-Reiß, Sarah A1 - Randrup, Nils A1 - Schwabe, Gerhard A1 - Söllner, Matthias KW - artificial intelligence KW - Design KW - Duality KW - Research agenda KW - Team collaboration AB - 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. PB - Elsevier VL - 57 UR - https://doi.org/10.1016/j.im.2019.103174 ER -