The Integration of Artificial Intelligence on Traditional Human Resource Functions in Tertiary Institutions, Cross River State, Nigeria

Abstract

As artificial intelligence systems increasingly automate routine administrative tasks, there is a risk that traditional human resource roles will disappear, resulting in job displacement for human resource professionals. This study investigated the effect of integrating Artificial Intelligence (AI) on traditional human resource functions in tertiary institutions, Cross River State, Nigeria. In order to achieve the objectives of this study, five objectives and hypotheses were formulated. Literatures were reviewed according to the variables identified.The study adopted survey research design. The sample size was 373 employees of public universities in Cross River State through stratified random sampling technique was used. Data were collected using Artificial Intelligence Scale developed by Vartak (2022) and Kok (2005) to evaluate Human Resource Practices. Results of the analysis using Simple Linear Regression test statistical technique reveal that, there is a significant effect of integration of AI on traditional human resource functions in terms of training and development, selection and recruitment, human resource planning, occupational health and safety and performance management. The study recommended amongst others that, organisations should consider incorporating AI into all phases of their training programmes, from onboarding to advanced skill development. Organisations should encourage collaboration between AI systems and human trainers. While AI can handle data analysis and personalised learning paths, human trainers can focus on mentoring, soft skill development, and emotional support, resulting in a more balanced and comprehensive training approach. (