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Scoping Ethical AI in Working Life: Lessons for the Nordic Model
Mälardalen University, School of Business, Society and Engineering, Industrial Economics and Organisation.ORCID iD: 0009-0003-3364-5008
Mälardalen University, School of Business, Society and Engineering, Industrial Economics and Organisation.ORCID iD: 0000-0001-5537-119x
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. Mälardalen University, School of Business, Society and Engineering, Industrial Economics and Organisation.ORCID iD: 0000-0001-6955-8350
2020 (English)In: Nordic Journal of Working Life Studies, E-ISSN 2245-0157Article in journal (Refereed) Epub ahead of print
Abstract [en]

The Nordic working life is characterized by high union density, flat organizations, and trust. In this context, ethical artificial intelligence (AI) implementation requires dialogue and collective decision-making between employers and employees. This scoping review displays argumentations in scientific literature about AI implementation in working life through five ethical frameworks: utilitarianism, rights-based justice, distributive justice, ethics of care, and virtue ethics. Results show that rights-based ethics and ethics of care are the most prominent framings, while utilitarian and distributive justice arguments rather support tensions between efficiency and fairness. This displays how AI’s promise of efficiency exists in tension with fundamental working life values such as transparency, fairness, and collective wellbeing. As the Nordic model is under pressure, in parallel with the structural shifts that follow AI implementation, this study highlights how ethical leadership will be more important to ensure that AI implementation strengthens the collective values that have historically distinguished Nordic working life.

Place, publisher, year, edition, pages
Det Kgl. Bibliotek/Royal Danish Library , 2020.
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Ethics
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URN: urn:nbn:se:mdh:diva-74507DOI: 10.18291/njwls.161642OAI: oai:DiVA.org:mdh-74507DiVA, id: diva2:2016056
Available from: 2025-11-24 Created: 2025-11-24 Last updated: 2026-02-09Bibliographically approved

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Launberg, AnnaLindell, Eva

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