Authors: Dr. Sadaf Khan, Associate Professor, Kajal Yadav, Assistant Professor, Ira Sahani, Khushi
Abstract: Artificial Intelligence (AI) has become one of the most influential technologies transforming Human Resource Management (HRM). Organizations are increasingly adopting AI-powered solutions to improve recruitment, talent acquisition, employee selection, and performance management. Traditional HR processes often involve lengthy recruitment cycles, manual resume screening, and subjective decision-making, which can reduce efficiency and increase hiring costs. AI addresses these challenges by automating repetitive tasks, analyzing large volumes of candidate data, and providing predictive insights that support better HR decisions. This study examines the role of AI in modern HR practices with a particular focus on recruitment, talent acquisition, and employee performance management. The study proposes the SMART-HR Framework, an original conceptual model integrating intelligent recruitment, AI-based analytics, employee development, and ethical decision-making. A descriptive research methodology is suggested using survey responses from HR professionals to understand the adoption and effectiveness of AI technologies in HR functions. The findings indicate that AI has the potential to reduce recruitment time, improve the quality of hiring decisions, enhance employee performance monitoring, and support data-driven workforce planning. However, challenges such as algorithmic bias, privacy concerns, and the need for human oversight remain important considerations. The study concludes that AI should complement, rather than replace, human judgment in HR management. Organizations adopting AI responsibly can improve operational efficiency, employee satisfaction, and overall organizational performance.
DOI: http://doi.org/10.5281/zenodo.21739753
