Human-Centred AI and Employee Well-Being: The Mediating Role of Psychological Safety and the Moderating Role of Ethical Leadership

Abstract

With the growing integration of artificial intelligence (AI) into the workplace, there has been a parallel discussion about how AI use improves or diminishes the human work experience. Along with the integration of artificial intelligence (AI) into work, scholars and practitioners have started to question whether AI use enhances or degrades the human work experience. Based on Conservation of Resources theory and Job Demands-Resources model, this study investigates the relationship between an AI design and deployment that emphasizes human-centric aspects and employee well-being and explores the mediating role of psychological safety and the boundary condition of ethical leadership. The survey data were analysed by correlation, hierarchical regression-based mediation, bootstrapped indirect-effect estimation, and moderated regression which were conducted on 386 employees in five industry sectors. Results indicate that human-centred AI (HCAI) is positively correlated with psychological safety (β = .39, *p* < .001) as well as with employee well-being (β = .30, *p* < .001); that psychological safety partially mediates the correlation between HCAI and employee well-being (indirect effect = .17, 95% CI [.12, .22]); and that ethical leadership significantly moderates the correlation between psychological safety and employee well-being (β = .14, *p* = .001, positive effect). Ethical leadership did not significantly moderate the first-stage HCAI-psychological safety path, suggesting that the protective effect of ethical leadership is largely downstream, at the level of psychological safety to well-being. The implications for human-centred AI governance and leadership development are discussed. References Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Sage Publications. Alawiye, P., Ishola, S., Okpara, B. I., Osakwe, C. C., & Odig, P. (2025). Employee perceptions, psychological well-being, and the automation-augmentation paradox in the age of generative AI: A qualitative study. Journal of Organizational Effectiveness: People and Performance. Advance online publication. https://doi.org/10.1108/jopp-12-2025-1109 Bakker, A. B., & Demerouti, E. (2017). Job demands-resources theory: Taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), 273–285. https://doi.org/10.1037/ocp0000056 Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173 Berger, C. R., & Calabrese, R. J. (1974). Some explorations in initial interaction and beyond: Toward a developmental theory of interpersonal communication. Human Communication Research, 1(2), 99–112. https://doi.org/10.1111/j.1468-2958.1975.tb00258.x Bibi, M., Tan, T. G., & Yao, H. (2025). Exploring the impact of AI capabilities on employee well-being: A mediated moderation analysis. SAGE Open, 15(3). https://doi.org/10.1177/21582440251361981 Brown, M. E., Treviño, L. K., & Harrison, D. A. (2005). Ethical leadership: A social learning perspective for construct development and testing. Organizational Behavior and Human Decision Processes, 97(2), 117–134. https://doi.org/10.1016/j.obhdp.2005.03.002 Dash, A., Samantray, B. S., Reddy, K. H. K., Amin, F., & Mishra, S. K. (2026). A secure framework for smart waste management using IoT, machine learning, and blockchain. In 2026 1st International Conference on Emerging Trends in Advancements and Applications of Computational Intelligence Techniques (ETAACT) (pp. 1-7). IEEE. https://doi.org/10.1109/ETAACT69135.2026.11541497 De Cremer, D., & Koopman, J. (2024, July). Research: Using AI at work makes us lonelier and less healthy. Harvard Business Review. https://hbr.org Edeh, F. O., & Zayed, N. M. (2026). Ethical leadership and workplace equity: Mediating and moderating mechanisms in emotional labor and well-being. Frontiers Media. Edmondson, A. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44(2), 350–383. https://doi.org/10.2307/2666999 Global Wellness Institute. (2025, March 28). Workplace wellbeing initiative trends for 2025. https://globalwellnessinstitute.org/global-wellness-institute-blog/2025/03/28/workplace-wellbeing-initiative-trends-for-2025/ Hobfoll, S. E., Halbesleben, J., Neveu, J. P., & Westman, M. (2018). Conservation of resources in the organizational context: The reality of resources and their consequences. Annual Review of Organizational Psychology and Organizational Behavior, 5, 103–128. https://doi.org/10.1146/annurev-orgpsych-032117-104640 Khan, A., Amin, F., & Imtiaz, U. (2026). SecurePulse-GRID: Trust-aware predictive load balancing and rapid cyber containment in distributed smart microgrids. The Asian Bulletin of Big Data Management, 6(1), 697-708. https://doi.org/10.62019/smxj7m37 Kim, B.-J., Kim, M.-J., & Lee, J. (2024). Code green: Ethical leadership's role in reconciling AI-induced job insecurity with pro-environmental behavior in the digital workplace. Humanities and Social Sciences Communications, 11(1), 1–16. https://doi.org/10.1057/s41599-024-03614-0 Kim, B.-J., & Lee, J. (2024). The mental health implications of artificial intelligence adoption: The crucial role of self-efficacy. Humanities and Social Sciences Communications, 11(1), Article 1522. https://doi.org/10.1057/s41599-024-04018-w Kim, B.-J., Kim, M.-J., & Lee, J. (2025). The dark side of artificial intelligence adoption: Linking artificial intelligence adoption to employee depression via psychological safety and ethical leadership. Humanities and Social Sciences Communications, 12, Article 704. https://doi.org/10.1057/s41599-025-05040-2 Kim, B.-J., & Lee, J. (2025). The dark sides of artificial intelligence implementation: Examining how corporate social responsibility buffers the impact of artificial intelligence-induced job insecurity on pro-environmental behavior through meaningfulness of work. Sustainable Development. Advance online publication. https://doi.org/10.1002/sd.3376 Nunnally, J. C. (1978). Psychometric theory (2nd ed.). McGraw-Hill. Rehman, W. ul, Bekmezci, M., Rizavi, S. S., Surucu, L., & Ali, K. (2025). Ethical leadership and thriving at work: The interplay of psychological safety and mental health in a serial mediation model. Journal of East European Management Studies, 30(2), Article 39321. https://doi.org/10.31083/JEEMS39321 Saleem, A., Bhutta, M. K. S., Abrar, M., Bari, M. W., & Bashir, M. (2024). Leader's ethical behavior: A precursor to employees' well-being through emotions management. Acta Psychologica, 249, Article 104453. https://doi.org/10.1016/j.actpsy.2024.104453 Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychological Methods, 7(4), 422–445. https://doi.org/10.1037/1082-989X.7.4.422 Xiao, Q., Yan, J., & Bamber, G. J. (2025). How does AI-enabled HR analytics influence employee resilience: Job crafting as a mediator and HRM system strength as a moderator. Personnel Review, 54(3), 824–843. https://doi.org/10.1108/PR-01-2024-0056