Theoretical foundations and ethical considerations of predictive recruitment using AI drive enhanced decision-making and efficiency.
The rapid evolution of artificial intelligence (AI) has revolutionized recruitment and workforce strategies, offering innovative solutions for predictive talent optimization. This paper explores the theoretical foundations of predictive recruitment, emphasizing the principles and technologies that underpin its effectiveness. It examines the transformative impacts of AI-driven tools across industries, highlighting benefits such as enhanced decision-making, increased efficiency, improved diversity, and better retention rates. Ethical and practical considerations, including data privacy, bias mitigation, transparency, and strategic implementation, are critically analyzed to ensure responsible deployment. The study concludes with strategic recommendations for integrating predictive recruitment technologies and outlines future directions for research and industry practices. This paper provides a comprehensive framework for leveraging AI to optimize workforce strategies and foster inclusive, efficient, and adaptable organizational environments by addressing these aspects.
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Aduwo et al. (2025) studied this question.
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