Exploring the Ethical Boundaries of Artificial Intelligence in Vocational Education: A Practice-Oriented Path to Human-Machine Symbiosis

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Authors: Qianwen Mo1*, Fan Mo2, Ying Li3
Cited by: 0

Abstract

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.

Fields of Study & Subjects

Artificial Intelligence in Education Ethics and Social Impacts of AI Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 January 2026
Language
EN