Date
2019-07-06Metadata
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Aufsatz
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
@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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2050 ##0##http://hdl.handle.net/123456789/11939
3000 Seeber, Isabella
3010 Bittner, Eva
3010 Briggs, Robert Owen
3010 De Vreede, Triparna
3010 De Vreede, Gert-Jan
3010 Elkins, Aaron
3010 Maier, Ronald
3010 Merz, Alexander Benedikt
3010 Oeste-Reiß, Sarah
3010 Randrup, Nils
3010 Schwabe, Gerhard
3010 Söllner, Matthias
4000 Machines as teammates: A research agenda on AI in team collaboration / Seeber, Isabella
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5550 {{Künstliche Intelligenz}}
5550 {{Dualität}}
5550 {{Forschungsplanung}}
5550 {{Kooperation}}
7136 ##0##http://hdl.handle.net/123456789/11939
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