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

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-27
DOI
https://doi.org/10.5281/zenodo.18383785
Primary Topic
Ethics and Social Impacts of AI
Type
article
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0.00
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article

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

Qianwen Mo1*, Fan Mo2, Ying Li3
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

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

Qianwen Mo1*, Fan Mo2, Ying Li3
article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 78%
Ethics and Social Impacts of AI
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Exploring the Ethical Boundaries of Artificial Intelligence in Vocational Education: A Practice-Oriented Path to Human-Machine Symbiosis — Qianwen Mo1*, Fan Mo2, Ying Li3 · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS