Vocational education, as a key site of workforce development, faces two major challenges in the age of artificial intelligence : technological integration and ethical governance. As AI becomes increasingly embedded in educational practices, a collaborative model between AI tutors and human teachers is reshaping approaches to skilled workforce development. Within the theoretical framework of “human–machine symbiosis,” this paper explores some core ethical issues arising from AI's involvement in vocational education, including boundaries of authority, attribution of responsibility, building of trust, and educational equity. The analysis suggests that AI’s capacity for personalized services complements the value-based guidance provided by human teachers. Clarifying AI’s authority, building a shared accountability system, strengthening trust between humans and machines, and ensuring fairness in using technology are essential for developing a modern, technically skilled workforce. This study offers a novel perspective on the design of human-centered, AI-enhanced training systems for advanced technical professionals.