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

Author

Listed:
  • Noor Jannah Afi

    (School of Business and Social Sciences, Albukhary International University, Alor Setar, Malaysia)

  • Farhana Akter

    (School of Business and Social Sciences, Albukhary International University, Alor Setar, Malaysia)

  • Linn Shelly Maw

    (School of Business and Social Sciences, Albukhary International University, Alor Setar, Malaysia)

  • Nusayhah Bibi Peerbuccas

    (School of Business and Social Sciences, Albukhary International University, Alor Setar, Malaysia)

  • Yasmine Chnayti

    (School of Business and Social Sciences, Albukhary International University, Alor Setar, Malaysia)

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.

Suggested Citation

  • Noor Jannah Afi & Farhana Akter & Linn Shelly Maw & Nusayhah Bibi Peerbuccas & Yasmine Chnayti, 2025. "HR-CSR Alignment for well-being, Ethical AI in Future Work: A Systematic Review," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(7), pages 3893-3913, July.
    • Handle: RePEc:bcp:journl:v:9:y:2025:issue-7:p:3893-3913
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    References listed on IDEAS

    as
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