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.
%0 Journal Article
%1 ls_leimeister
%A Seeber, Isabella
%A Bittner, Eva
%A Briggs, Robert O.
%A de Vreede, Triparna
%A de Vreede, Gert-Jan
%A Elkins, Aaron
%A Maier, Ronald
%A Merz, Alexander B.
%A Oeste-Reiß, Sarah
%A Randrup, Nils
%A Schwabe, Gerhard
%A Söllner, Matthias
%D 2019
%J Information & Management
%K Artificial_intelligence Design Duality Research_agenda Team_collaboration cepub itegpub pub_ebi pub_msö pub_soe
%R https://doi.org/10.1016/j.im.2019.103174
%T Machines as teammates: A research agenda on AI in team collaboration
%U http://pubs.wi-kassel.de/wp-content/uploads/2019/09/JML_745.pdf
%X 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.
@article{ls_leimeister,
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.},
added-at = {2019-09-13T16:54:16.000+0200},
author = {Seeber, Isabella and Bittner, Eva and Briggs, Robert O. and de Vreede, Triparna and de Vreede, Gert-Jan and Elkins, Aaron and Maier, Ronald and Merz, Alexander B. and Oeste-Reiß, Sarah and Randrup, Nils and Schwabe, Gerhard and Söllner, Matthias},
biburl = {https://www.bibsonomy.org/bibtex/2760d7c5e2bf4c730da0572df1a34e681/ls_leimeister},
doi = {https://doi.org/10.1016/j.im.2019.103174},
interhash = {5f91313d113ec3d81b9d8c758f13f901},
intrahash = {760d7c5e2bf4c730da0572df1a34e681},
journal = {Information & Management},
keywords = {Artificial_intelligence Design Duality Research_agenda Team_collaboration cepub itegpub pub_ebi pub_msö pub_soe},
timestamp = {2019-09-19T12:22:13.000+0200},
title = {Machines as teammates: A research agenda on AI in team collaboration},
url = {http://pubs.wi-kassel.de/wp-content/uploads/2019/09/JML_745.pdf},
year = 2019
}