Configurations of human-centered AI at work

  • \(\bf Purpose:\) The discourse on the human-centricity of AI at work needs contextualization. The aim of this study is to distinguish prevalent criteria of human-centricity for AI applications in the scientific discourse and to relate them to the work contexts for which they are specifically intended. This leads to configurations of actor-structure engagements that foster human-centricity in the workplace. \(\bf Theoretical foundation:\) The study applies configurational theory to sociotechnical systems’ analysis of work settings. The assumption is that different approaches to promote human-centricity coexist, depending on the stakeholders responsible for their application. \(\bf Method:\) The exploration of criteria indicating human-centricity and their synthesis into configurations is based on a cross-disciplinary literature review following a systematic search strategy and a deductive-inductive qualitative content analysis of 101 research articles. \(\bf Results:\) The article outlines eight criteria of human-centricity, two of which face challenges of human-centered technology development (trustworthiness and explainability), three challenges of human-centered employee development (prevention of job loss, health, and human agency and augmentation), and three challenges of human-centered organizational development (compensation of systems’ weaknesses, integration of user-domain knowledge, accountability, and safety culture). The configurational theory allows contextualization of these criteria from a higher-order perspective and leads to seven configurations of actor-structure engagements in terms of engagement for (1) data and technostructure, (2) operational process optimization, (3) operators’ employment, (4) employees’ wellbeing, (5) proficiency, (6) accountability, and (7) interactive cross-domain design. Each has one criterion of human-centricity in the foreground. Trustworthiness does not build its own configuration but is proposed to be a necessary condition in all seven configurations. \(\bf Discussion:\) The article contextualizes the overall debate on human-centricity and allows us to specify stakeholder-related engagements and how these complement each other. This is of high value for practitioners bringing human-centricity to the workplace and allows them to compare which criteria are considered in transnational declarations, international norms and standards, or company guidelines.

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Author:Uta WilkensORCiDGND, Daniel LuppGND, Valentin LangholfORCiDGND
Parent Title (English):Frontiers in artificial intelligence
Subtitle (English):seven actor-structure engagements in organizations
Publisher:Frontiers Media
Place of publication:Lausanne
Document Type:Article
Date of Publication (online):2024/03/21
Date of first Publication:2023/11/01
Publishing Institution:Ruhr-Universität Bochum, Universitätsbibliothek
Tag:Open Access Fonds
AI; artificial intelligence; configurational theory; human-centered; sociotechnical system; stakeholder; work
Issue:Artikel 1272159
First Page:1272159-1
Last Page:1272159-13
Article Processing Charge funded by the Deutsche Forschungsgemeinschaft (DFG) and the Open Access Publication Fund of Ruhr-Universität Bochum.
Institutes/Facilities:Institut für Arbeitswissenschaft
Dewey Decimal Classification:Sozialwissenschaften / Wirtschaft
open_access (DINI-Set):open_access
faculties:Fakultät für Wirtschaftswissenschaft
Licence (English):License LogoCreative Commons - CC BY 4.0 - Attribution 4.0 International