Culture-Fair AI Usage in the Workplace for Sustainable Management: A Systematic Review

T. S. Saranya, Sandeep Kumar Gupta (), Kiniholi Yepthomi and Anuvinda Sadanandan
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T. S. Saranya: Head of the Institute, AIBHAS, Amity University Bengaluru
Sandeep Kumar Gupta: Mohan Babu University
Kiniholi Yepthomi: Independent Researcher
Anuvinda Sadanandan: Independent Researcher

A chapter in Proceedings of the International Conference on Artificial Intelligence in Management for Business and Industrial Growth (AIMBIG 2025), 2025, pp 432-452 from Springer

Abstract: Abstract This study examines how culturally fair artificial intelligence (AI) implementation intersects with sustainable workplace management in global organizations. Despite widespread AI adoption, the impact of cultural fairness on long-term sustainability remains underexplored. Using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a systematic review of 30 peer-reviewed studies (2018–2024) from Scopus, Web of Science, and IEEE Xplore was conducted. The review identified four key areas of intersection: (1) strategies to mitigate algorithmic bias across cultures, (2) inclusive AI governance, (3) cultural adaptation in AI decision-making, and (4) sustainability outcomes from culturally responsive AI. Findings show that organizations applying culturally fair AI achieve better employee engagement, lower turnover, and improved innovation, with stronger alignment to Sustainable Development Goals (SDGs). This study offers a practical framework for culturally inclusive, sustainability-driven AI implementation and highlights areas for further research.

Keywords: Culture-fair artificial intelligence; workplace sustainability; algorithmic bias; cross-cultural management; responsible AI governance; digital transformation; sustainable development goals (search for similar items in EconPapers)
Date: 2025
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DOI: 10.2991/978-94-6463-898-1_30

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