Advances in Human-AI Collaboration

6Advances in Human–AI CollaborationTraining with AI Support

Yubin Xie^1,2, Siu Shing Man³, Ronggang Zhou², and Alan Hoi Shou Chan^1,4

¹Department of Systems Engineering, City University of Hong Kong, Hong Kong, China

²School of Economics and Management, Beihang University, Beijing, China

³School of Design, South China University of Technology, Guangzhou, Guangdong, China

⁴College of Engineering, City University of Hong Kong (Dongguan), Dongguan, Guangdong, China

6.1 Introduction

For over two centuries, the task of training employees has traditionally been performed by experienced workers to improve employees’ skills and prepare them for job responsibilities. From the emergence of the apprenticeship system during the Industrial Revolution to the establishment of vocational and technical schools and the development of skills-oriented professional training programs, both parties involved in training have always been humans (Kraiger & Ford, 2007). In recent years, artificial intelligence (AI) has rapidly transformed the landscape of modern training environments. Consequently, integrating AI into modern training environments has ushered in a new era of efficiency, personalization, and adaptability (Viterouli et al., 2024). AI, once characterized by rudimentary algorithms, has evolved into highly sophisticated systems capable of complex analysis, autonomous learning, and adaptive decision-making. This technological progression has transformed how training programs are designed, delivered, ...