Article
Impact of Artificial Intelligence on Recruitment and Selection
Artificial Intelligence (AI) has emerged as a transformative force in contemporary recruitment and selection, reshaping how organizations identify, assess, and hire talent. The growing adoption of AI-enabled tools including automated resume screening, recruitment chatbots, predictive analytics, algorithmic matching systems, and video-based assessments has generated both opportunities and challenges for human resource management. This narrative review synthesizes scholarly literature published between 2015 and 2025 to examine the evolving role of AI in recruitment and selection and its implications for organizational decision-making. The review identifies four dominant themes: the transformation of recruitment processes through automation and data-driven decision support; the changing roles of recruiters and applicants; ethical concerns relating to algorithmic bias, transparency, and privacy; and the growing importance of human–AI collaboration in hiring decisions. The analysis indicates that AI can enhance recruitment efficiency, scalability, consistency, and candidate matching while reducing administrative workload. However, these benefits are contingent upon the quality of underlying data, the transparency of algorithmic systems, effective governance mechanisms, and continued human oversight. The review argues that AI should be viewed as a decision-support technology rather than a substitute for professional judgment. By integrating technological, organizational, ethical, and human-centered perspectives, the study advances understanding of responsible AI adoption in recruitment and selection. It further proposes that sustainable hiring outcomes depend on balancing technological capabilities with fairness, accountability, transparency, and human involvement in decision-making processes.
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