Artificial Intelligence based Human Resource Management Information Framework

Abstract

Artificial Intelligence (AI) has become a game-changing technology that can enhance HRM systems' efficiency, employee management, and strategic decision-making. Manual HRM, poor recruitment processes, biased performance assessments, and restricted HR analytics are common issues with traditional Human Resource Management Information Systems (HRMIS). This research paper suggests an Artificial Intelligence Based Human Resource Management Information Framework which is designed to incorporate intelligent technologies within present day HR operations. The suggested framework aligns with the use of machine learning, natural language processing, predictive analytics, intelligent automation, and decision support tools, all aimed at enhancing recruitment management, employee performance assessment, workforce planning, employee engagement, and training initiatives. The literature reviewed includes current research on the use of AI in HR systems and the key advantages and disadvantages of the adoption of intelligent workforce management. The proposed framework includes several layers such as data collection, AI processing and decision support, and HR operational management to ensure efficient and scalable implementation across the organization. The results suggest that the use of AI in recruitment can have a profound impact on the accuracy of hiring, operational efficiency, productivity of the workforce, and HR planning strategies.