Purpose This study explores the disruptive impact of Artificial Intelligence (AI) on the training and developmental functions of an organization with focus on adaptive learning, intelligent tutor systems, and VR/AR simulation technology. It seeks to understand the implications of adopting AI in relation to its challenges, ethical boundaries, and effects on performance and engagement relative to traditional approaches. Design/methodology/approach A quantitative research design was adopted involving descriptive surveys with closed ended questionnaires issued to 590 respondents from different classes of professions, functions, and levels of seniority. The data was processed with SPSS (version 29). It was possible to establish the means and standard deviations of the variables, conduct reliability tests (α = 0.78±0.89), and cross-tabulation to assess demographic variance. Findings The findings recorded efficiency in training with AI-powered systems while involving learning systems with their higher level of effectiveness adaptive learning systems (57.6%) and predictive analytics (45.8%) rated as highly effective. On the other, pervasive challenges like, high cost of implementation (37.3%), data privacy problems (45.8%) and resistance from employees (27.1%) constitute impediments to acceptance. Ethical issues such as, mitigation of bias (67.8%) and people working with AI systems (61.0%) stood out as important issues for successful implementation. Originality/value This study fills a gap in the literature by constructing an evaluative framework addressing AI integration into training systems by integrating theoretical developments and their practical deployment. They provided useful guidance for businesses and government decision-makers concerning the optimization AI adoption policies with ethical concerns and operational impediments.
Shamim et al. (Thu,) studied this question.