Artificial Intelligence in Recruitment and Selection: Looking Beyond Efficiency
Tamanna Nayak V1*, Sana Samreen2, Dr. Veena Ishwarappa Bhavikatti2
Abstract
Artificial Intelligence (AI) is increasingly changing the way recruitment and selection are carried out by making the process faster, more efficient, and data-driven. Organizations benefit from reduced hiring time and automated screening of candidates. However, it is still unclear whether these improvements actually lead to better hiring results.
This study looks beyond efficiency and focuses on important outcomes such as quality of hire, employee performance, ethical concerns, and the role of human judgment. Based on a detailed review of existing research, it is found that although AI improves recruitment efficiency, there is limited real evidence showing that it leads to better long-term outcomes like employee retention, performance, or organizational fit.
The study also identifies key concerns such as bias, lack of fairness, limited transparency, and data privacy issues. In addition, factors like candidate perceptions and the changing role of human recruiters have not been studied enough. Overall, the findings show a gap between improved efficiency and actual hiring effectiveness. The study concludes that AI should be used as a support tool rather than replacing human decision-making to ensure fair and effective hiring.
Keywords:
Artificial Intelligence, Recruitment, Selection Process, Hiring Efficiency, Quality of Hire, Decision-Making, Employee Performance, Ethics, Bias and Fairness, Human–AI Interaction
