@article{7557,
  keywords = {Design, artificial intelligence, Duality, Research agenda, Team collaboration},
  author = {Isabella Seeber and Eva Bittner and Robert Briggs and Triparna de Vreede and Gert de Vreede and Aaron Elkins and Ronald Maier and Alexander Merz and Sarah Oeste-Reiß and Nils Randrup and Gerhard Schwabe and Matthias Söllner},
  title = {Machines as teammates: A research agenda on AI in 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.},
  year = {2020},
  journal = {Information and Management},
  volume = {57},
  number = {2},
  pages = {103174},
  publisher = {Elsevier},
  issn = {03787206},
  url = {https://doi.org/10.1016/j.im.2019.103174},
  doi = {10.1016/j.im.2019.103174},
  language = {eng},
}