Seeber, Isabella, et al. “Machines As Teammates: A Research Agenda on AI in Team Collaboration”. Information and Management, vol. 57, 2, Elsevier, 2020, p. 103174, doi:10.1016/j.im.2019.103174.
Author
Isabella Seeber
Eva Bittner
Robert Briggs
Triparna de Vreede
Gert de Vreede
Aaron Elkins
Ronald Maier
Alexander Merz
Sarah Oeste-Reiß
Nils Randrup
Gerhard Schwabe
Matthias Söllner
Keywords
Design
artificial intelligence
Duality
Research agenda
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.

Year of Publication
2020
Journal
Information and Management
Volume
57
Number of Pages
103174
ISSN Number
03787206
URL
https://doi.org/10.1016/j.im.2019.103174
DOI
10.1016/j.im.2019.103174