Confucian Self-Cultivation and the Ethics of Learning with Large Language Models

The rapid adoption of large language models (LLMs) such as ChatGPT has transformed contemporary teaching and learning, raising pressing questions about the moral, relational, and epistemic dimensions of education. This paper examines these challenges through the lens of Confucian ethics, focusing on the moral ideal of self-cultivation and the relational virtues of ren (humaneness), li (ritual propriety), cheng (sincerity), zhong (loyalty), and shu (empathy). It argues that prevailing Western approaches to AI ethics—grounded in procedural, utilitarian, or rights-based reasoning—tend to overlook the formative and relational nature of moral education. Drawing on classical Confucian texts and contemporary debates on AI in education, the paper proposes a framework for engaging LLMs in ways that nurture moral reflection, communal responsibility, and human–machine harmony. Rather than viewing AI as a threat to authenticity or agency, a Confucian perspective reorients technological use towards the cultivation of moral character and the pursuit of shared human flourishing.

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Publication Details

Journal
Studies in Philosophy and Education
Published
2026-02-21
DOI
https://doi.org/10.1007/s11217-026-10045-8
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

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article

Confucian Self-Cultivation and the Ethics of Learning with Large Language Models

C. Christina Lam
Studies in Philosophy and Education
Artificial Intelligence in Healthcare and Education
article

Confucian Self-Cultivation and the Ethics of Learning with Large Language Models

C. Christina Lam
article en

Abstract

The rapid adoption of large language models (LLMs) such as ChatGPT has transformed contemporary teaching and learning, raising pressing questions about the moral, relational, and epistemic dimensions of education. This paper examines these challenges through the lens of Confucian ethics, focusing on the moral ideal of self-cultivation and the relational virtues of ren (humaneness), li (ritual propriety), cheng (sincerity), zhong (loyalty), and shu (empathy). It argues that prevailing Western approaches to AI ethics—grounded in procedural, utilitarian, or rights-based reasoning—tend to overlook the formative and relational nature of moral education. Drawing on classical Confucian texts and contemporary debates on AI in education, the paper proposes a framework for engaging LLMs in ways that nurture moral reflection, communal responsibility, and human–machine harmony. Rather than viewing AI as a threat to authenticity or agency, a Confucian perspective reorients technological use towards the cultivation of moral character and the pursuit of shared human flourishing.

Studies in Philosophy and Education
Education University of Hong Kong (HK)
Education University of Hong Kong
Quality Education
Openalex Percentile: Top 49%
Artificial Intelligence in Healthcare and Education
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