2025, Vol. 6, Special Issue 2
Ethical AI in recruitment and sustainable workforce planning
Author(s): Rajeswari Muvvala, Meghana Kamatam, Saketh R and Neelakanteswara P
Abstract: Artificial Intelligence (AI) systems are rapidly transforming recruitment and workforce planning, offering unprecedented efficiency and data-driven insights. However, these systems can inadvertently perpetuate historical biases, leading to unfair hiring practices, reduced diversity, and legal exposure. Simultaneously, volatile labor markets and evolving skill demands necessitate sustainable workforce strategies that anticipate future needs, optimize internal mobility, and support continuous learning. This paper presents a comprehensive, mixed-methods investigation into the ethical integration of AI in recruitment and its role in sustainable workforce planning. `We analyze the root causes of algorithmic bias through audits of AI systems used by three multinational firms, conduct thematic interviews with HR professionals, AI engineers, and ethics officers, and quantify impacts on diversity, retention, and forecasting accuracy.
Our findings demonstrate that robust ethics-bydesign frameworks, incorporating governance structures, fairness-aware algorithms, explainability tools, and human oversight, yield significant improvements in equitable hiring and workforce agility. We conclude with practical recommendations for practitioners and policymakers to implement and regulate responsible AI across the talent lifecycle.
DOI: 10.22271/27084515.2025.v6.i2Sc.690
Pages: 189-191 | Views: 153 | Downloads: 64
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How to cite this article:
Rajeswari Muvvala, Meghana Kamatam, Saketh R, Neelakanteswara P. Ethical AI in recruitment and sustainable workforce planning. Asian J Manage Commerce 2025;6(2S):189-191. DOI: 10.22271/27084515.2025.v6.i2Sc.690
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