Abstract: The rapid advancements and integration of Artificial intelligence (AI) its impact across industries has extended to Human Resource Management (HRM) redefining workforce management. The potential applications of artificial intelligence (AI) in human resource management (HRM) are all explored in this paper. AI-driven tools and techniques optimize the recruitment, performance management and employee engagement. The AI promises to enhance decision-making efficiency and accuracy as conventional HRM practices are time consuming and biased. The paper studies the role of AI as an important to carry out the various functions of human resource practices, where AI can handle recruitment, hiring, performance appraisal, allocating the Jobs, reducing workload at workplace and increasing workplace efficiency. The new applications for AI in HRM, sentiment analysis, predictive analytics, intelligent decision support and personalized employee experiences are reviewed. The integration of AI into HRM poses a number of difficulties like bias, privacy issues, and transparency which are some of the attributes having ethical and legal ramifications of using AI in decision-making processes that are pointed in this study.

To effectively deal with this change, strategies including work role redefinition, employee skill development and having a collaborative atmosphere between humans and AI are suggested. The possible advantages and breakthroughs that AI might bring to HRM practices are highlighted as the future perspectives of AI in HRM are examined. AI furnishes from selected studies, revealing adoption rates, prevalent techniques, and sector specific implementations and also gives brief understanding of the future goal of artificial intelligence.

Keywords: Artificial Intelligence, Human Resource Management, data governance, work culture.


Downloads: PDF | DOI: 10.17148/IARJSET.2025.121225

How to Cite:

[1] B. Malleswari, "Human Resources Management Practices In The AI Era: Impact And Prospects," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2025.121225

Open chat