APPLICATION OF ARTIFICIAL INTELLIGENCE (AI) SYSTEMS ON EMPLOYEES’ UP-SKILLING AND RE-SKILLING IN SELECTED ORGANISATIONS IN BORNO STATE

Abstract

The application of AI in various organizational sectors has automated tasks that are currently performed by human thereby reduce cognitive workload which had free up workers for more strategies work. AI is a branch of computer science based on the concept of imitation of human intellectual functioning, hence, this research study Application of AI systems for Employees Up- skilling and Re-skilling in selected organizations in Borno State. Descriptive analytical design was used. Two research questions guided the study and two null hypotheses were tested at 0.05 level of significance. The population of the study was 71 respondents which comprised of 25 staff from Nigerian Television Authority (NTA), 25 staff from Federal Inland Revenue Services (FIRS), 15 staff from Borno Radio Television (BRTV), and 6 staff from Borno Geographical Information Services (BOGIS). The entire population also served as the sample size because of its manageable size. The instrument for data collection was a structured questionnaire containing 36 item statements. A four-point response scale was used in determining the level of AI usage on Employees’ Up-skilling and Re-skilling in organizations in Borno State. The instrument for the study was subjected to both face and content validity. Two Business Education experts from University of Maiduguri, and Borno State university, Borno State (Now Kashim Ibrahim University) and an expert in Measurement and Evaluation, University of Maiduguri validated the instrument. To establish the reliability of the questionnaire item statements, the internal consistency measure was sought through pilot survey of 20 managerial staff of head of units in Peace FM, Maiduguri. The data generated were analyzed using Cronbach Alpha measure of internal consistency and reliability coefficient of 0.71 and 0.81 respectively were obtained. The results of the analyses revealed that AI significantly enhances task management, organization and workflow efficiency, contributing to employees’ up-skilling and re-skilling thereby fostering continuous skill development. Based on the findings it was concluded that AI had the potentials and capacity to increased task management and workflow efficiency, better and faster decision-making, enhance creative problems-solving and innovation skills which are crucial for workers’ experience and cost reduction through automation of task, and thereby free-up workers for more strategic work. It was therefore, recommended among others that AI systems should be implemented in organizations in order to optimize focus on current strategies, workflow with efficiency.