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

Ronald Maier; Isabella Seeber; Eva Bittner; Robert Briggs; Triparna deVreede; Geert-Jan deVreede; Aaron Elkins; Alexander Merz; Sarah Öeste-Reiss; Nils Randrup; Gerhard Schwabe; Matthias Söllner

doi:10.1016/j.im.2019.103174

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

Ronald Maier, Isabella Seeber, Eva Bittner, Robert Briggs, Triparna deVreede, Geert-Jan deVreede, Aaron Elkins, Alexander Merz, Sarah Öeste-Reiss, Nils Randrup, Gerhard Schwabe, Matthias Söllner

Rektorat

Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed

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.

Originalsprache	Englisch
Aufsatznummer	103174
Seitenumfang	22
Fachzeitschrift	Information & Management
Jahrgang	57
Ausgabenummer	2
DOIs	https://doi.org/10.1016/j.im.2019.103174
Publikationsstatus	Veröffentlicht - März 2020

ÖFOS 2012

502050 Wirtschaftsinformatik

Zugriff auf Dokument

10.1016/j.im.2019.103174

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Zitationsweisen

@article{ba7f2fb719db471da5886f3eae108009,

title = "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.",

keywords = "Artificial intelligence, Design, Duality, GDSS, GROUP SUPPORT-SYSTEMS, PERFORMANCE, Research agenda, Team collaboration",

author = "Ronald Maier and Isabella Seeber and Eva Bittner and Robert Briggs and Triparna deVreede and Geert-Jan deVreede and Aaron Elkins and Alexander Merz and Sarah {\"O}este-Reiss and Nils Randrup and Gerhard Schwabe and Matthias S{\"o}llner",

note = "Publisher Copyright: {\textcopyright} 2019 The Authors",

year = "2020",

month = mar,

doi = "10.1016/j.im.2019.103174",

language = "English",

volume = "57",

journal = "Information & Management",

issn = "0378-7206",

number = "2",

}

TY - JOUR

T1 - Machines as teammates: A research agenda on AI in team collaboration

AU - Maier, Ronald

AU - Seeber, Isabella

AU - Bittner, Eva

AU - Briggs, Robert

AU - deVreede, Triparna

AU - deVreede, Geert-Jan

AU - Elkins, Aaron

AU - Merz, Alexander

AU - Öeste-Reiss, Sarah

AU - Randrup, Nils

AU - Schwabe, Gerhard

AU - Söllner, Matthias

PY - 2020/3

Y1 - 2020/3

N2 - 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.

AB - 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.

KW - Artificial intelligence

KW - Design

KW - Duality

KW - GDSS

KW - GROUP SUPPORT-SYSTEMS

KW - PERFORMANCE

KW - Research agenda

KW - Team collaboration

UR - http://www.scopus.com/inward/record.url?scp=85069460783&partnerID=8YFLogxK

U2 - 10.1016/j.im.2019.103174

DO - 10.1016/j.im.2019.103174

M3 - Article

SN - 0378-7206

VL - 57

JO - Information & Management

JF - Information & Management

IS - 2

M1 - 103174

ER -

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

Abstract

ÖFOS 2012

Zugriff auf Dokument

Andere Dateien und Links

Fingerprint

Zitationsweisen