Jallipalli A. N. K. Jayanth¹, Sanka Lithish Gupta², Kella Yasaswini³ 03 06 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 AIenabled tools including automated resume screening recruitment chatbots predictive analytics algorithmic matching systems and videobased 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 decisionmaking The review identifies four dominant themes the transformation of recruitment processes through automation and datadriven decision support the changing roles of recruiters and applicants ethical concerns relating to algorithmic bias transparency and privacy and the growing importance of humanAI 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 decisionsupport technology rather than a substitute for professional judgment By integrating technological organizational ethical and humancentered 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 decisionmaking processes Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026