DOI: 10.36347/sjet.2024.v12i06.001

Pages: 179-184

The advent of artificial intelligence (AI) has heralded a transformative era in various domains, including human resource (HR) management. This research paper explores the profound impact of AI-driven systems on HR practices and talent management. Traditional HR systems often face challenges such as inefficiencies, biases, and the inability to manage large volumes of data effectively. AI technologies, with their capabilities in data analytics, machine learning, and automation, offer innovative solutions to these challenges. This study investigates how AI can enhance various HR functions, including recruitment, performance management, employee engagement, and training. By leveraging AI, organizations can streamline their HR processes, reduce operational costs, and improve decision-making accuracy. Additionally, AI-driven talent management systems enable organizations to better identify, develop, and retain top talent, thereby fostering a more agile and competitive workforce. Using a mixed-methods approach, this research combines qualitative insights from industry case studies with quantitative data analysis to provide a comprehensive understanding of the benefits and challenges associated with AI implementation in HR. The findings reveal significant improvements in efficiency, accuracy, and employee satisfaction, while also highlighting ethical considerations such as data privacy and algorithmic bias. This paper concludes with practical recommendations for HR professionals seeking to integrate AI into their practices and suggests avenues for future research to address the emerging challenges and opportunities in AI-driven HR systems. The implications of this study are significant, offering valuable insights for both academic researchers and practitioners aiming to harness the potential of AI to revolutionize HR and talent management.