Artificial Intelligence in Human Resource Management: Advanced Computing Systems for Talent Analytics and Decision Making

Abstract

The integration of Artificial Intelligence (AI) into Human Resource Management (HRM) has transformed various HR processes, enhancing efficiency, accuracy, and strategic decision-making. AI-based tools and systems have enabled HR professionals to streamline recruitment, improve employee engagement, manage performance more effectively, and optimize workforce planning. By automating repetitive tasks and providing data-driven insights, AI has reshaped traditional HR functions, allowing for more informed decision-making in areas such as talent analytics, predictive modeling, and employee retention strategies. This research article delves into the technological landscape of AI in HRM, highlighting its key applications in talent management and organizational decision processes. Furthermore, it provides an in-depth analysis of various AI models, algorithms, and frameworks that are currently being employed to enhance HRM practices. Beyond the technological advancements, the paper addresses the challenges and ethical considerations associated with AI in HRM, including issues related to algorithmic bias, transparency, and data privacy. The discussion extends to the future trajectory of AI in HRM, emphasizing the need for responsible AI implementation, regulatory compliance, and human oversight. Ultimately, this article offers a comprehensive view of both the opportunities and limitations of AI in HRM, contributing to a deeper understanding of its role in shaping the future of human resource practices.