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Alternative AI Philosophy: Daoism as Method for AI in Education

Qin Xie

arXiv:2609.10842v2cs.CY

TL;DR

Current scholarship on AI in education focuses largely on applied dimensions, while this paper addresses the philosophical questions AI raises for education. Through conceptual analysis and comparative interpretation, it concludes that Daoism offers an alternative AI philosophy for education grounded in authenticity, relationality, and harmonious participation.

  • Problem

    Current scholarship on AI in education focuses largely on applied dimensions, while this paper addresses the philosophical questions AI raises for education.

    Source: Introduction · p. 4

  • Method

    The paper uses conceptual analysis and comparative interpretation to examine Daoist concepts in relation to contemporary debates on AI in education.

    Source: Introduction · pp. 5–6

  • Results

    The paper concludes that Daoism offers an alternative AI philosophy for education grounded in authenticity, relationality, and harmonious participation.

    Source: Conclusion · p. 23

  • Takeaways & Limitations

    Daoist philosophy may reshape the conceptual foundations through which AI is understood and contribute to comparative philosophy of education.

    Source: Conclusion · p. 23

    Careful contextualization is required to avoid Orientalism when translating classical concepts into contemporary educational contexts.

    Source: Conclusion · p. 23

Abstract

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As artificial intelligence (AI) rapidly iterates and transforms teaching, learning, and knowledge production, philosophical reflection has become increasingly indispensable to educational debates that remain predominantly shaped by Western intellectual traditions. This article proposes Daoism as an alternative philosophical framework for reimagining AI in education. Through philosophical analysis and textual interpretation of classical Daoist sources, brought into dialogue with contemporary scholarship on AI in education, it examines how the Daoist concepts of "Dao nature," "self-cultivation," and the "Zhenren" address fundamental questions concerning reality, the epistemic aims of education, and ethical action in the AI-mediated era. In doing so, the article diversifies the philosophical voices shaping inquiry into AI and education, enriching the field's conceptual resources for grappling with the philosophical questions AI raises for education and offering a genuinely pluralistic foundation for comparative philosophy of education in the AI era.

Introduction

The introduction frames Daoism as a philosophical resource for examining AI in education through questions of knowledge, knowing, ethical practice, and participant relationships. It develops this inquiry through Dao nature, self-cultivation, and the Zhenren, emphasizing cognitive limits, inclusive accountability, learner engagement, and relational participation.

Introduction

  • The cited discussion cautions that algorithmic management of teaching and learning can fail to respect individual agency and produce harmful moral consequences.It also describes a learning partner and research confederate, openly or covertly participating in teaching, learning, and knowledge production.Source: Introduction · pp. 3–4
  • AI’s growing role in education raises philosophical questions about reality, truth, educational aims, and how to live in an AI-shaping world.The article notes that scholarship often centers on policy, academic integrity, and best practices, while treating philosophical questions as essential to the discussion.Source: Introduction · p. 4
  • Daoism offers an alternative ontology of knowing, acting, and cultivating that challenges subject-object dualism and calculative rationality in AI-in-education scholarship.The article calls for comparative inquiry that interrogates the framework itself rather than adding “Eastern content” to an unchanged one.Source: Introduction · p. 5
  • The article examines Dao nature, self-cultivation, and the Zhenren as resources for questions about educational truth, epistemic aims, ethical action, and practitioner roles.It uses conceptual analysis and comparative interpretation to develop these themes.Source: Introduction · pp. 5–6

What Is Daoism, and Why Not Confucianism?

  • Daoism has been integral to Chinese intellectual and everyday life for more than two millennia, while its central concept is notoriously difficult to define.Source: What Is Daoism, and Why Not… · p. 6
  • Daoism frames learning as a contemplative pursuit of reality, unlike Confucian education’s orientation toward governance and preserving social order.The article argues that this distinction makes Daoism a generative framework for education in an AI-shaped world.Source: What Is Daoism, and Why Not… · pp. 8–9
  • Daoist learning integrates self, society, and cosmos, offering insights for thinking about learning, technology, and living well amid uncertainty.The introduction presents Daoist philosophy as carrying timely, transnational resonance for communities facing shared AI challenges.Source: What Is Daoism, and Why Not… · p. 9

The Dao Nature and the Complexity of AI in Education

  • AI is embedded in teaching, learning, and knowledge production, creating unprecedented challenges for educational epistemology.Unlike earlier technological revolutions, the current wave of machine learning and large language models operates within these processes.Source: The Dao Nature and the Complexity of… · p. 10
  • Ethical implementation requires privacy safeguards, bias mitigation, human oversight, and equitable infrastructure to prevent AI from amplifying educational inequities.Without such guardrails, AI risks worsening existing inequalities rather than ameliorating them.Source: The Dao Nature and the Complexity of… · p. 11
  • AI-generated monoculture and misinformation threaten epistemic pluralism and truth, while cognitive offloading risks weakening critical thinking and academic integrity.Learners may substitute algorithmic outputs for genuine intellectual engagement.Source: The Dao Nature and the Complexity of… · p. 11
  • AI’s computational costs and concentrated control reshape geopolitical power and reinforce Global North–South dependencies.These impacts extend the challenges of AI in education beyond knowledge and learning processes.Source: The Dao Nature and the Complexity of… · p. 11
  • Because AI is opaque and continually reshapes epistemic goods, Daoism offers resources for approaching truth incrementally amid flux and uncertainty.The section argues that a framework oriented toward harmonizing change may suit this landscape.Source: The Dao Nature and the Complexity of… · pp. 11–12
  • Rather than forcing AI opacity into full transparency, the section proposes acknowledging the boundaries of cognition and revering what cannot be fully known.Daoist accounts present ultimate reality as resistant to complete conceptual or analytical grasp.Source: The Dao Nature and the Complexity of… · pp. 12–13
  • Daoism’s open, non-attached view of existence resembles AI’s changing state, making inquiry into AI education a practice of cultivating reality through ongoing attunement.This is not fixed knowledge, but engagement with a phenomenon that exceeds complete conceptual grasp.Source: The Dao Nature and the Complexity of… · pp. 13–14
  • In AI-mediated education, educators, learners, knowledge producers, institutions, and AI should not be alienated from their natures, but fulfill roles proper to their authentic being.Attunement to the order of the Dao is presented as a path toward realizing each entity’s nature.Source: The Dao Nature and the Complexity of… · p. 14
  • The section characterizes AI’s harms as departures from naturalness and proposes Dao nature as an epistemic aim for AI education.The challenges include forced action that disrupts harmony and harms to knowledge, knowing, and the impacts of knowledge.Source: The Dao Nature and the Complexity of… · pp. 14–15

The Concept of “Self”

  • Daoism treats Dao nature as true nature and the reality to be cultivated.Source: The Concept of “Self” · p. 15
  • A Daoist relational self makes being “left behind” ontologically untenable: digital exclusion and algorithmic bias violate the self, while equal access to learning is an ontological given across social differences.Source: The Concept of “Self” · p. 17
  • Because the self is constituted through and accountable to networks of persons, communities, and natural environments, asymmetric power dynamics and the environmental costs of computational infrastructures demand ethical attention.Source: The Concept of “Self” · p. 17

The Path of “Self-Cultivation”

  • Daoist self-cultivation cannot be outsourced: it requires sustained first-person cognitive and embodied engagement, making surrendering agency to AI a “thought controller” contrary to the project.Source: The Path of “Self-Cultivation” · p. 19
  • The Daoist framework casts AI as an instrumental adjunct to human flourishing that should amplify, not attenuate, learners’ embodied engagement with knowledge.Source: The Path of “Self-Cultivation” · pp. 19–20
  • Self-cultivation requires the whole person to remain cognitively present and ethically accountable in the broader web of existence, rather than delegating thinking to machines.The passage presents machine delegation as severing the connection between consciousness and cosmos.Source: The Path of “Self-Cultivation” · p. 20
  • Zhenren counters the passive, algorithmically managed learner by treating AI as an intellectual prosthesis, not a cognitive surrogate, while requiring first-person experiential labor.The learner remains actively engaged in learning rather than handing cognition over to AI.Source: The “Zhenren (真人)” as New Myth for AI… · p. 21
  • Following Dao nature, Zhenren rejects both technological fanaticism and technophobia and questions algorithmic classifications that fix learners’ abilities, risks, and potential.The passage describes such classifications as constructed artifacts that violate the fluid, processual nature of self-cultivation.Source: The “Zhenren (真人)” as New Myth for AI… · pp. 21–22
  • Self-cultivation fosters responsive, reciprocal educational relations in which the human educator, learner, and technology co-participate in generating understanding.Knowledge circulates organically rather than through extractive, unidirectional relations.Source: The “Zhenren (真人)” as New Myth for AI… · p. 22
  • Zhenren shifts learning from data-driven efficiency to cultivated wholeness and the harmonious integration of self, society, and cosmos.The passage presents this ideal as a replicable program open to every learner, regardless of background, gender, or class.Source: The “Zhenren (真人)” as New Myth for AI… · p. 22
  • By affirming that no student is merely a dataset to be managed, the Zhenren ideal resists algorithmic discrimination and asymmetric power and makes ethical, holistic development education’s telos.It aims to nurture persons who remain cognitively present and ethically accountable within the broader web of existence.Source: The Path of “Self-Cultivation” · p. 20, The “Zhenren (真人)” as New Myth for AI… · pp. 22–23

Conclusion

The article reframes AI in education around the kinds of persons education should cultivate and presents Daoism as an alternative philosophical foundation. It argues that non-Western traditions can reshape how AI is understood, while emphasizing careful contextualization and further comparative research.

Conclusion

  • Daoism offers an alternative AI philosophy for education, drawing on Dao nature, self-cultivation, and the Zhenren to center authenticity, relationality, and harmonious participation in change.The article frames the central question as what kinds of persons education should cultivate in an AI-mediated world.Source: Conclusion · p. 23
  • Daoism’s contribution to comparative philosophy of education is not only diversification: non-Western traditions can reshape the conceptual foundations for understanding AI and education.Source: Conclusion · p. 23
  • Careful contextualization is needed to avoid Orientalism; future research should examine Daoist-inspired pedagogies across settings and compare them with Ubuntu and Buddhist epistemology.Source: Conclusion · p. 23

Positionality Statement

  • The author’s bicultural training enables engagement across traditions but carries risks of romanticizing Daoism or misreading it through Western categories; safeguards include treating it as a living interpretive tradition.Source: Positionality Statement · pp. 23–24
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