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      Human-centered AI through employee participation

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          Abstract

          This article examines the role of employee participation in AI implementation, focusing on a case study from the German telecommunications sector. Theoretical discussions highlight concepts of employee participation and workplace democracy, emphasizing the normative basis for human-centered AI in Europe. The empirical analysis of the case study demonstrates social practices of human-centered AI and the importance of employee representatives and labor policies in sustainable technology. The contribution is structured into two main parts: first, discussing sociological concepts of employee participation and summarizing the role of works councils in shaping digital technology implementation. Second, focusing on a case study of AI regulations at Deutsche Telekom, highlighting the significant effects of employee participation and co-determination by the group works council in promoting socially sustainable AI implementation which is done via qualitative case analysis. The article highlights the significance of participation and negotiations and gives an example for social partnership relations in AI implementations.

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          Understanding union power: resources and capabilities for renewing union capacity

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                Author and article information

                Contributors
                URI : http://loop.frontiersin.org/people/2198796/overviewRole:
                URI : http://loop.frontiersin.org/people/2199175/overviewRole:
                URI : http://loop.frontiersin.org/people/2376755/overviewRole: Role: Role:
                URI : http://loop.frontiersin.org/people/2652602/overviewRole: Role: Role:
                Journal
                Front Artif Intell
                Front Artif Intell
                Front. Artif. Intell.
                Frontiers in Artificial Intelligence
                Frontiers Media S.A.
                2624-8212
                01 March 2024
                2024
                : 7
                : 1272102
                Affiliations
                [1] 1Faculty of Social Sciences, Institute for Work, Skills and Training, University of Duisburg-Essen, Duisburg , North Rhine-Westphalia, Germany
                [2] 2Department of Social Sciences, Ruhr-University Bochum , Bochum, Germany
                [3] 3Gemeinsame Arbeitsstelle RUB/IGM , Bochum, Germany
                Author notes

                Edited by: Corinna Peifer, University of Lübeck, Germany

                Reviewed by: Jairo Hernando Quintero, Technological Institute of Putumayo, Colombia

                Christian Herzog, University of Lübeck, Germany

                *Correspondence: Manfred Wannöffel manfred.wannoeffel@ 123456rub.de
                Article
                10.3389/frai.2024.1272102
                10941644
                38496830
                c153da11-3ee9-4cc5-b759-9ae6f19b4c53
                Copyright © 2024 Haipeter, Wannöffel, Daus and Schaffarczik.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 03 August 2023
                : 08 February 2024
                Page count
                Figures: 3, Tables: 0, Equations: 0, References: 44, Pages: 13, Words: 10679
                Funding
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The support of the Open Access Publication Funds of the Ruhr-Universität Bochum is gratefully acknowledged.
                Categories
                Artificial Intelligence
                Original Research
                Custom metadata
                AI in Business

                human-centered ai,employee participation,works council,ethic rules,company agreement on ai

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