Artificial Intelligence and the Future of Talent Acquisition: Opportunities, Challenges, and Ethical Considerations
Artificial Intelligence (AI) is transforming Human Resource Management (HRM), particularly in talent acquisition and recruitment, by enhancing efficiency, accuracy, and objectivity. AI-enabled tools including machine learning, predictive analytics, natural language processing, and intelligent Bot automate repetitive tasks, improve candidate–job fit, and support data-driven decision-making. Drawing on national and international studies, this paper highlights developments with specific relevance to the Indian organizational context, where AI is increasingly adopted to manage high application volumes, reduce time-to-hire, and strengthen candidate engagement. Despite these benefits, the literature identifies ethical and practical challenges, including algorithmic bias, data privacy risks, and reduced human interaction, which raise concerns about fairness and inclusion. The study concludes that while AI enhances recruitment processes and supports strategic HR outcomes, it cannot fully replace human intuition, empathy, and contextual understanding. This work contributes to ongoing discussions on AI as both a significant innovation in HRM and a domain requiring responsible and ethical integration.
Paper
The full text of this publication is not hosted on 44B due to licensing.
Read it at OpenAlex