Machines as teammates: A research agenda on AI in team collaboration
Journal
Information & management
ISSN
0378-7206
Type
journal article
Date Issued
2019
Author(s)
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
;
Research Team
IWI6
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.
Language
English
Keywords
Artificial intelligence
Design
Duality
Research agenda
Team collaboration
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Refereed
Yes
Publisher
Elsevier
Volume
Online First
Start page
1
End page
22
Pages
22
Division(s)
Eprints ID
257406
File(s)![Thumbnail Image]()
open.access
Name
1-s2.0-S0378720619303337-main.pdf
Size
926.42 KB
Format
Adobe PDF
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