Published on: May 2026
THE ALGORITHMIC MIRROR: CAN ARTIFICIAL INTELLIGENCE TRULY MITIGATE HUMAN BIAS IN HIRING AND PERFORMANCE MANAGEMENT
Sonny B. Kollio Sam Siryon
Article Status
Available Documents
Abstract
KEYWORDS
Algorithmic Bias, AI Ethics, HR Analytics, Diversity and Inclusion, Predictive
Hiring, Fairness in Machine Learning, Human-in-the-Loop System
How to Cite this Paper
Kollio, S. B. & Siryon, S. (2026). The Algorithmic Mirror: Can Artificial Intelligence Truly Mitigate Human Bias in Hiring and Performance Management. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.538
Kollio, Sonny, and Sam Siryon. "The Algorithmic Mirror: Can Artificial Intelligence Truly Mitigate Human Bias in Hiring and Performance Management." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.538.
Kollio, Sonny, and Sam Siryon. "The Algorithmic Mirror: Can Artificial Intelligence Truly Mitigate Human Bias in Hiring and Performance Management." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.538.
References
[1] E. J. Castilla, "AI is reinventing hiring with the same biases. Here is how to avoid this trap," MIT Sloan School of Management, Dec. 15, 2025. [Online]. Available: https://mitsloan.mit.edu/ideas-made-to-matter/ai-reinventing-hiring-same-old-biases-heres-how-to-avoid-trap[2] K. D. Hughes, A. Konnikov, N. Denier, and Y. Hu, "Problematizing the role of artificial intelligence in hiring and organizational inequalities: A multidisciplinary review," Human Relations, vol. 79, no. 2, pp. 246-278, 2026. doi: 10.1177/00187267251403902
[3] E. Jalilzade et al., "Mapping discrimination in LLM-driven HR systems," in 2025 IEEE International Conference on Big Data (Big Data), 2025, pp. 6681-6690. doi: 10.1109/BigData66926.2025.11401029
[4] M. Kaya and T. Bogers, "Human, algorithm, or both? Gender bias in human-augmented recruiting," arXiv preprint arXiv:2603.06240, 2026. [Online]. Available: https://arxiv.org/abs/2603.06240
[5] C. O‘Neil, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown Publishing Group, 2016.
[6] P. K. Parekh and S. D. Shetty, "Detecting and mitigating algorithmic bias in automated hiring systems using fairness constraints," Semantic Scholar, 2025. [Online]. Available: https://www.semanticscholar.org/author/Parina-K.-Parekh/2421838037
[7] A. Peña et al., "Addressing bias in LLMs: Strategies and application to fair AI-based recruitment," arXiv preprint arXiv:2506.11880, 2025. [Online]. Available: https://arxiv.org/abs/2506.11880
[8] RAIL Research Team, "AI hiring bias: Real cases, legal consequences, and prevention," Responsible AI Labs, Nov. 7, 2025. [Online]. Available: https://responsibleailabs.ai/knowledge-hub/articles/ai-hiring-bias-legal-cases
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- •Peer Review Type: Double-Blind Peer Review
- •Published on: May 18 2026
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