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Machines as teammates: A research agenda on AI in team collaboration

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; Söllner, Matthias (2019). Machines as teammates: A research agenda on AI in team collaboration. Information & Management:1-22.

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.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Social Sciences & Humanities > Management Information Systems
Physical Sciences > Information Systems
Social Sciences & Humanities > Information Systems and Management
Scope:Discipline-based scholarship (basic research)
Language:English
Date:28 June 2019
Deposited On:21 Aug 2019 12:06
Last Modified:21 Jan 2025 02:39
Publisher:Elsevier
ISSN:0378-7206
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1016/j.im.2019.103174
Other Identification Number:merlin-id:17960
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  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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