Defining human-AI teaming the human-centered way

  • \(\bf Introduction:\) With the advancement of technology and the increasing utilization of AI, the nature of human work is evolving, requiring individuals to collaborate not only with other humans but also with AI technologies to accomplish complex goals. This requires a shift in perspective from technology-driven questions to a human-centered research and design agenda putting people and evolving teams in the center of attention. A socio-technical approach is needed to view AI as more than just a technological tool, but as a team member, leading to the emergence of human-AI teaming (HAIT). In this new form of work, humans and AI synergistically combine their respective capabilities to accomplish shared goals. \(\bf Methods:\) The aim of our work is to uncover current research streams on HAIT and derive a unified understanding of the construct through a bibliometric network analysis, a scoping review and synthetization of a definition from a socio-technical point of view. In addition, antecedents and outcomes examined in the literature are extracted to guide future research in this field. \(\bf Results:\) Through network analysis, five clusters with different research focuses on HAIT were identified. These clusters revolve around (1) human and (2) task-dependent variables, (3) AI explainability, (4) AI-driven robotic systems, and (5) the effects of AI performance on human perception. Despite these diverse research focuses, the current body of literature is predominantly driven by a technology-centric and engineering perspective, with no consistent definition or terminology of HAIT emerging to date. \(\bf Discussion:\) We propose a unifying definition combining a human-centered and team-oriented perspective as well as summarize what is still needed in future research regarding HAIT. Thus, this work contributes to support the idea of the Frontiers Research Topic of a theoretical and conceptual basis for human work with AI systems.

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Author:Sophie BerrettaGND, Alina TauschGND, Greta OntrupORCiDGND, Björn GillesGND, Corinna PeiferORCiDGND, Annette KlugeORCiDGND
Parent Title (English):Frontiers in artificial intelligence
Subtitle (English):a scoping review and network analysis
Publisher:Frontiers Media
Place of publication:Lausanne
Document Type:Article
Date of Publication (online):2024/03/04
Date of first Publication:2023/09/29
Publishing Institution:Ruhr-Universität Bochum, Universitätsbibliothek
Tag:Open Access Fonds
artificial intelligence; bibliometric analysis; bibliometric coupling; human AIt eaming; human centered AI; humane work; network analysis; work psychology
First Page:1250725-1
Last Page:1250725-28
Article Processing Charge funded by the Deutsche Forschungsgemeinschaft (DFG) and the Open Access Publication Fund of Ruhr-Universität Bochum.
Institutes/Facilities:Arbeitseinheit Arbeits-, Organisations- und Wirtschaftspsychologie
Dewey Decimal Classification:Philosophie und Psychologie / Psychologie
open_access (DINI-Set):open_access
faculties:Fakultät für Psychologie
Licence (English):License LogoCreative Commons - CC BY 4.0 - Attribution 4.0 International