HR-CSR Alignment for well-being, Ethical AI in Future Work: A Systematic Review

This paper critically explores the nexus between ethical artificial intelligence (AI), corporate social responsibility (CSR), and human resource management (HRM) in order to identify practices that enhance the well-being of employees in new-age workplaces. Drawing on 59 peer-reviewed articles (2017–2024), the review synthesizes data with theoretical frameworks such as social exchange theory and psychological contract theory. It captures positive correlations among CSR-HRM practices and job satisfaction, and negative ethical concerns emanating from AI use, i.e., bias, job loss, and emotional distress. Step-by-step ethical AI integration is modeled out, giving an organizational blueprint. The study also reveals major geographic representational gaps—i.e., from Africa, Southeast Asia, and Latin America—and these may limit the applicability of current knowledge worldwide. The research concludes by presenting real-life recommendations for inclusive, sustainable workplaces and suggests that future empirical work using case studies, interviews, and surveys should be done.

Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-01-01
DOI
https://doi.org/10.47772/ijriss.2025.907000315
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

HR-CSR Alignment for well-being, Ethical AI in Future Work: A Systematic Review

International Journal of Research and Innovation in Social Science
Geochemistry and Geologic Mapping
article

HR-CSR Alignment for well-being, Ethical AI in Future Work: A Systematic Review

article en

Abstract

This paper critically explores the nexus between ethical artificial intelligence (AI), corporate social responsibility (CSR), and human resource management (HRM) in order to identify practices that enhance the well-being of employees in new-age workplaces. Drawing on 59 peer-reviewed articles (2017–2024), the review synthesizes data with theoretical frameworks such as social exchange theory and psychological contract theory. It captures positive correlations among CSR-HRM practices and job satisfaction, and negative ethical concerns emanating from AI use, i.e., bias, job loss, and emotional distress. Step-by-step ethical AI integration is modeled out, giving an organizational blueprint. The study also reveals major geographic representational gaps—i.e., from Africa, Southeast Asia, and Latin America—and these may limit the applicability of current knowledge worldwide. The research concludes by presenting real-life recommendations for inclusive, sustainable workplaces and suggests that future empirical work using case studies, interviews, and surveys should be done.

International Journal of Research and Innovation in Social ScienceVol. IX(VII)
Decent work and economic growth
Openalex Percentile: Top 70%
Geochemistry and Geologic Mapping
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