AI-Powered Recruitment: Balancing Efficiency And Fairness
Author(s): Lakshmikanth Subramaniam
Publication #: 2512019
Date of Publication: 08.10.2025
Country: United States
Pages: 1-6
Published In: Volume 11 Issue 5 October-2025
DOI: https://doi.org/10.62970/IJIRCT.v11.i5.2512019
Abstract
Artificial Intelligence (AI) has not only changed the recruiting process drastically but can also be seen as the automation of burdensome duties, as well as application filtering and better engagement with the applicants. The upsides of the AI-driven hiring tools to companies can be seen in efficiency, speed, and data-based decision-making practice, as organizations increasingly implement AI-powered tools to keep up with modern hiring. Nonetheless, it is not without some increasing ethical issues of algorithmic bias, fairness, transparency, and accountability. This essay investigates the two-fold consequences of AI in hiring, both in terms of work efficiency and the importance of preserving fairness and properly ethical selection processes. Based on current academic findings and practical experience, it examines the current impact that AI has on different phases of the talent acquisition process and lists the main risks and the ways to avoid them. The paper also identifies a framework, where automation and human supervision are balanced, to ensure that decisions are made fairly and are inclusive. The aim is to enlighten sustainable, fair, and future some hiring systems.
Keywords: Artificial Intelligence, Recruitment, Fairness, Bias, Human Resources, Ethical AI, Automation.
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