AI-Augmented Human Resource Management for Smart Workforce Development
Authors-P. Bhagya Lakshmi, Dr. S. Kumari
Keyword-AI-Augmented HRM, Predictive Analytics, Employee Attrition, Talent Management, Generative AI, Workforce Planning, Intelligent Automation.
The application of Artificial Intelligence into the realm of Human Resource Management is nothing short of a paradigm shift from conventional administrative roles towards more strategic approaches based on big data management. This research paper proposes a novel AI-enhanced HRM system design to manage the entire life cycle of employees via means of predictive analyt-ics, AI automation for job postings, and intelligent decision support for hiring and retaining employees. It involves the use of an attribute importance model based on the Random Forest algorithm, which reaches 87.3% accuracy rate, a transformer for candidate-job matching, and the employment of a large language model as a chatbot for self-service among others. The results of testing this design on a database of 3,500 employees working in IT are as follows: 73% less time spent on screening, a six-month lead time for predicting retention, and 28% better candidate ratings.
Doi-[https:/doi.org/10.5281/zenodo.20813152]