THE IMPACT OF ARTIFICIAL INTELLIGENCE (AI) ON THE TRADITIONAL RECRUITMENT PROCESS

Abstract: The rapid advancement of technology, driven by globalization, has compelled organizations to adopt innovative approaches to remain competitive. Human Resource Management (HRM), particularly recruitment, has been significantly influenced by Artificial Intelligence (AI), which automates and enhances processes that were once manual. This study explores the impact of AI on recruitment, focusing on its ability to improve efficiency, minimize biases, and elevate the candidate experience. Through qualitative research, insights were gathered from HR professionals who actively utilize AI in hiring processes. The findings reveal that AI streamlines recruitment by automating tasks such as resume screening and interview scheduling, resulting in time and cost savings. Additionally, AI-powered tools contribute to more objective candidate evaluations, helping to mitigate unconscious bias. However, human oversight remains crucial to ensure fairness, ethical decision-making, and the consideration of factors beyond data-driven assessments. AI also enhances the candidate experience by providing personalized recommendations and real-time feedback. While AI significantly optimizes recruitment, the synergy between technology and human expertise is essential for achieving balanced and effective hiring outcomes. Keywords: Artificial Intelligence (AI), Recruitment, Human Resource Management (HRM), Hiring Process, Automation. Title: THE IMPACT OF ARTIFICIAL INTELLIGENCE (AI) ON THE TRADITIONAL RECRUITMENT PROCESS Author: Latifa Eladnani International Journal of Management and Commerce Innovations ISSN 2348-7585 (Online) Vol. 12, Issue 2, October 2024 - March 2025 Page No: 220-226 Research Publish Journals Website: www.researchpublish.com Published Date: 22-February-2025 DOI: https://doi.org/10.5281/zenodo.14908966 Paper Download Link (Source) https://www.researchpublish.com/papers/the-impact-of-artificial-intelligence-ai-on-the-traditional-recruitment-process