Title: Artificial Intelligence: Theory, Tools and Real-World Applications
Editors: Prof. Dr. A. Shameem and Dr. J. Rengamani
ISBN: 978-81-69857-67-3
Chapter: 7
DOI: https://doi.org/10.59646/819/05
Author: Dr. V. A. Jane
Abstract
Artificial Intelligence (AI) is transforming Human Resource Management by automating recruitment and talent acquisition processes. Organizations increasingly rely on AI-driven tools to streamline candidate sourcing, resume screening, interview scheduling, skills assessment, and workforce planning. These technologies enhance recruitment efficiency by reducing manual effort, minimizing hiring time, and improving the quality of candidate selection. AI-powered systems utilize machine learning, natural language processing, and predictive analytics to analyze large volumes of applicant data, identify suitable candidates, and support data-driven hiring decisions. Furthermore, AI enables personalized candidate engagement through chatbots and virtual assistants, improving the overall recruitment experience. Despite its advantages, AI adoption in recruitment raises concerns regarding algorithmic bias, data privacy, transparency, and ethical decision-making. Organizations must therefore ensure responsible AI implementation by maintaining fairness, accountability, and compliance with legal regulations. This study explores the role of AI-driven automation in modern recruitment and talent acquisition, highlighting its applications, benefits, challenges, and future implications. The findings suggest that AI has the potential to significantly improve hiring outcomes while supporting strategic workforce management when implemented effectively and ethically.
Keywords: Artificial Intelligence (AI), Human Resource Management, Recruitment Automation, Talent Acquisition, Machine Learning, Predictive Analytics, Resume Screening, Chatbots, Candidate Selection, Workforce Planning.