Date
2019-07-06Author
Seeber, IsabellaBittner, EvaBriggs, Robert OwenDe Vreede, TriparnaDe Vreede, Gert-JanElkins, AaronMaier, RonaldMerz, Alexander BenediktOeste-Reiß, SarahRandrup, NilsSchwabe, GerhardSöllner, MatthiasSubject
004 Data processing and computer science 300 Social sciences Künstliche IntelligenzDualitätForschungsplanungKooperationMetadata
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Aufsatz![](/themes/Mirage2/images/Open_Access_logo_PLoS_transparent.svg)
Machines as teammates: A research agenda on AI in 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. The MaT research agenda offers a structure and archetypal research questions to organize early thought and research in this new area of study.
Citation
In: Information & Management Volume 57 / Issue 2 (2019-07-06) eissn:1872-7530Citation
@article{doi:10.17170/kobra-202011042075,
author={Seeber, Isabella and Bittner, Eva and Briggs, Robert Owen and De Vreede, Triparna and De Vreede, Gert-Jan and Elkins, Aaron and Maier, Ronald and Merz, Alexander Benedikt and Oeste-Reiß, Sarah and Randrup, Nils and Schwabe, Gerhard and Söllner, Matthias},
title={Machines as teammates: A research agenda on AI in team collaboration},
journal={Information & Management},
year={2019}
}
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2020-11-09T12:16:35Z 2020-11-09T12:16:35Z 2019-07-06 doi:10.17170/kobra-202011042075 http://hdl.handle.net/123456789/11939 eng Namensnennung 4.0 International http://creativecommons.org/licenses/by/4.0/ affificial intelligence design duality research agenda team collaboration 004 300 Machines as teammates: A research agenda on AI in team collaboration Aufsatz 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. open access Seeber, Isabella Bittner, Eva Briggs, Robert Owen De Vreede, Triparna De Vreede, Gert-Jan Elkins, Aaron Maier, Ronald Merz, Alexander Benedikt Oeste-Reiß, Sarah Randrup, Nils Schwabe, Gerhard Söllner, Matthias doi:10.1016/j.im.2019.103174 Künstliche Intelligenz Dualität Forschungsplanung Kooperation publishedVersion eissn:1872-7530 Issue 2 Information & Management Volume 57 false
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