The Evolution of Human Resource Management: How Artificial Intelligence Shapes Recruitment and Employee Development

Abstract

This research paper explores the evolution of human resource management and examines how artificial intelligence is reshaping these basic functions. Artificial intelligence-powered tools are revolutionizing the recruitment process by improving CV screening, improving candidate matching, and reducing biases, leading to more data-based and efficient recruitment decisions. In employee development, artificial intelligence enables personal learning experiences, ongoing performance management, and targeted retention strategies, thus aligning employee development with organizational goals. However, the adoption of artificial intelligence in human resource management also poses challenges, such as concerns about data privacy, algorithmic transparency, and the need for human monitoring. By reviewing case studies and existing literature, this paper highlights the potential and limitations of artificial intelligence in HR, and offers insight into how HR professionals are dealing with these changes. The research concludes with a discussion of the future of artificial intelligence in human resource management, emphasizing the importance of balancing automation and human governance to promote a fair and inclusive work environment.