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Natural Intelligence, Not Artificial: A Confucian Reframing of Generative AI in Higher Education

Sat, March 28, 7:45 to 9:00pm, Virtual Sessions, Online Meeting Hub - VR 101

Proposal

Generative artificial intelligence (GenAI) is transforming higher education, sparking debates over its pedagogical, ethical, and epistemological implications. Much of this discourse is framed by Western dualisms that position AI as an artificial, autonomous “other” in opposition to natural human intelligence. This paper offers an alternative reframing grounded in Confucian philosophy, which conceives of intelligence as relational, ethical, and embedded in the continuous process of creative transformation (shengsheng). By interpreting GenAI as “natural intelligence”—an extension of human creativity situated within moral and social systems—this study advances a culturally grounded approach to AI integration in education.

Drawing on key Confucian concepts—shengsheng (creative transformation), ren (co-humanity), and xue yi cheng ren (learning to become human)—the paper develops a three-part framework linking cosmology, human nature, and moral cultivation to AI ethics and practice. This approach resists both technophilia (uncritical adoption) and technophobia (outright rejection), instead advocating for AI use that sustains relational harmony, cultivates virtue, and supports shared flourishing within the academic community.

The argument unfolds in three stages. First, it situates current AI-in-education debates, including concerns over epistemic authority, automation of teaching, and the erosion of human relationships in learning. It critiques the tendency to evaluate GenAI primarily by technical performance, urging instead an ethical lens grounded in the quality of relationships it fosters. Second, it articulates a Confucian reframing of AI’s nature and purpose: shengsheng (creative transformation) positions AI as part of the natural continuum of human creativity; ren (co-humanity) underscores that intelligence is co-constructed through empathy, reciprocity, and care; and xue yi cheng ren (learning to become human) emphasizes that education is a lifelong process of moral self-cultivation, which AI should support but never replace. Third, it considers implications for pedagogy, curriculum, and institutional policy.

Pedagogically, a Confucian approach positions GenAI as a complementary partner to human teachers, not a substitute. Educators remain the moral guides, integrating AI in ways that deepen mentorship, dialogue, and reflection. Curricular design should prioritize process over product, using AI to prompt metacognition, collaborative inquiry, and ethical reflection. Institutional policy, informed by Confucian relational ethics, should embed values such as trust, sincerity, and accountability into AI governance, ensuring human oversight, protecting student well-being, and maintaining the relational fabric of academic life.

Methodologically, this paper adopts a theoretical mode of inquiry, synthesizing literature on GenAI in higher education, scholarship in AI ethics, and classical and contemporary interpretations of Confucian philosophy. It contributes to comparative and international education by bringing a non-Western ethical tradition into dialogue with global technological challenges, offering culturally diverse perspectives on the human–AI relationship.

The proposed framework has relevance for global higher education contexts grappling with AI adoption. It provides a philosophically coherent, ethically grounded alternative to prevailing narratives, showing how an ancient relational ethic can inform contemporary technology policy and practice. By reframing GenAI as natural intelligence, higher education institutions can better align technological integration with their moral mission: cultivating reflective, ethical, and relationally engaged graduates.

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