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Type Journal Article
Scope Discipline-based scholarship
Title Machines as teammates: A research agenda on AI in team collaboration
Organization Unit
Authors
  • Isabella Seeber
  • Eva Bittner
  • Robert O Briggs
  • Triparna de Vreede
  • Gert-Jan de Vreede
  • Aaron Elkins
  • Ronald Maier
  • Alexander B Merz
  • Sarah Oeste-Reiß
  • Nils Randrup
  • Gerhard Schwabe
  • Matthias Söllner
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Journal Title Information & Management
Publisher Elsevier
Geographical Reach international
ISSN 0378-7206
Page Range 1 - 22
Date 2019
Abstract Text 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.
Digital Object Identifier 10.1016/j.im.2019.103174
Other Identification Number merlin-id:17960
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