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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.

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.

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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
Language:English
Date:28 June 2019
Deposited On:21 Aug 2019 12:06
Last Modified:17 Feb 2020 11:50
Publisher:Elsevier
ISSN:0378-7206
OA Status:Green
Publisher DOI:https://doi.org/10.1016/j.im.2019.103174
Other Identification Number:merlin-id:17960

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