Alternative AI Philosophy: Daoism as Method for AI in Education

Synthesis: In this comparative philosophy of education paper, Qin Xie argues that the Philosophy Of AI In Education debate is over-determined by a shared Western architecture that treats Agency as a property of discrete subjects, frames knowledge representationally, and locates human–AI relations within a subject–object dualism. Reading classical Daoist sources alongside contemporary AI-in-education scholarship, Xie reconstructs three resources for Theory Development AIED: "Dao nature" (道性) as an epistemic aim that attunes inquiry to a reality exceeding conceptual grasp, "self-cultivation" (修道) as the disciplined, non-outsourceable practice of knowing, and the "Zhenren" (真人) as a counter-ideal to the passively algorithm-managed learner. The result is not "Eastern content" added to an unchanged framework but a pluralistic foundation that reframes Ethics, Critical Thinking, and what Well Being might mean in an AI-mediated education.

The Gap: A Western-Centric Framing of AI in Education

Xie opens by recalling John McCarthy's 1995 claim that "AI needs many ideas that have hitherto been studied only by philosophers," arguing that this imperative has become urgent now that AI systems operate autonomously in complex worlds. Contemporary AI labs increasingly hire philosophers: Anthropic embeds Kantian ideas into Claude's constitution, and Harvey Lederman incorporates the Ming philosopher Wang Yangming's (王阳明) notion of "Genuine Knowledge" (真知) into Claude's design and training — with later iterations reaching top-tier performance on agentic misalignment benchmarks. Education is the crux, as AI has become not merely a tool but a learning partner and research confederate (Human AI Collaboration).

The paper's central critical move is to survey the leading philosophical accounts of AI in education and identify a shared Western architecture. Ferrario et al. critique AI's presumed epistemic superiority yet still presuppose an individualist model of Agency; Driggers and Boyles draw on Peirce's pragmatism but remain anchored in Western empiricist inquiry; Cope et al. cast AI as a "cognitive prosthesis" rather than a genuine educator, assuming a representationalist gap between qualitative meaning and quantitative form; Cox's metaphors of "Makers," "Managers," and "Inforgs" compete within a liberal-humanist picture of the knower. Because this epistemology underwrites both the design imaginary of AI systems (expert systems, intelligent tutors, agents) and the evaluative criteria applied to them, its limits become the limits of the field's collective imagination. Drawing on Sylvia Wynter and Lisa Lowe, Xie contends this lens is not culturally neutral but entangled with imperial and colonial frameworks of the human and knowledge — so a genuinely comparative approach must interrogate the framework itself rather than decorate it. The task is to pluralize knowledge production while avoiding Orientalism: treating Daoism "neither as an exotic corrective nor as a monolithic opposite to 'the West,' but as a sophisticated philosophical tradition with its own internal debates" (Critical Pedagogy, Culturally Relevant Pedagogy).

Daoism as Method: Concepts and Comparative Approach

Xie's method is deliberately interpretive, not empirical: conceptual analysis and comparative interpretation in three steps — identify the shared epistemological assumptions of the Western debate; reconstruct two Daoist concepts ("Dao nature" and "self-cultivation") as they bear on truth and action; then propose "Zhenren" as a new metaphor for AI in education and stage a dialogue that uses each tradition to render visible what the other obscures. The author flags positionality: bicultural training in Western philosophy of education with sustained engagement with classical Chinese texts, carrying risks of romanticizing Daoism or misreading it through Western categories, mitigated by treating Daoist material as a living interpretive tradition rather than a static canon.

Daoism (道家 Philosophical Daoism / 道教 Religious Daoism) is presented via Kirkland's reframing as what Daoists do — a living, practice-centered tradition rather than a fixed doctrine, embodied in the Daozang (道藏) and its predecessors. Its central text, the Daodejing, expounds Dao (道, the Way) and De (德, its Virtue), constituted by the complementary properties Yin and Yang, with Wuwei (无为, non-action or the absence of forced intervention) at its heart. This naturalistic orientation opposes artificial Regulation and social engineering. The paper contrasts Daoism with Confucianism, which emphasizes social hierarchy, effortful moral cultivation, and ritualized propriety — and, in education, an explicit orientation toward Governance and social utility ("reading books to become an official" 读书做官). Daoism instead conceives learning as "a pursuit of wisdom and understanding of the world's innermost essence": the Daodejing's "In the pursuit of learning, every day something is added. In the pursuit of Tao, every day something is dropped" (为学日益，为道日损). Xie argues this makes Daoism more generative than Confucianism for an AI-shaped world, because the goal should not be preserving hierarchies but pursuing deeper understanding of reality as individuals and as a pluralistic community (Learning Theories, AI Education).

"Dao Nature" (道性) as an Epistemic Aim

The paper reviews the epistemology of education — virtue epistemology (cognitive abilities and intellectual virtues of the individual knower) and social epistemology (epistemic goods situated within social practices), with Siegel's alternative framing that education should foster true belief together with critical thinking — and argues these now face unprecedented challenges. Generative AI is embedded within teaching, learning, and knowledge production itself: personalization, Accessibility, and efficiency benefits (Adaptive Learning, real-time feedback, round-the-clock availability) are real, but contingent on ethical implementation — robust Privacy safeguards, Bias Mitigation, human oversight, and equitable infrastructure (Equity In AI Education).

Xie organizes the challenges across three interrelated domains. First, knowledge itself: AI-generated content raises the specter of epistemic monoculture and erodes epistemic pluralism, alongside synthetic misinformation masquerading as truth. Second, the process of knowing: reliance on Cognitive Offloading threatens to degrade Critical Thinking and undermines Academic Integrity as learners substitute algorithmic outputs for genuine intellectual engagement. Third, the impact of knowledge: the computational intensiveness of large-scale AI imposes environmental costs (Sustainability), while concentration of AI development in a few global firms reshapes geopolitics and deepens Global North–South dependencies (Digital Divide).

Since AI remains a "black box" resistant to full explanation even by its developers, a framework not predicated on rationalism — one that approaches truth incrementally under conditions of uncertainty — seems better suited to this landscape. Daoism offers precisely such resources. The nature of Dao is unexplainable and transcends concepts, language, and rational cognition ("道可道，非常道" — the Dao that can be spoken is not the eternal Dao). Crucially, Xie reads this inexplicability not as cognitive failure but as "an appropriate stance toward ultimate reality": the ultimate truth resides not in conceptual analysis but in the integrated experience arising from the dissolution of the subject–object dichotomy. This "calls for maintaining reverence for the 'inexhaustible' even within the act of questioning" rather than forcing everything transparent — a direct analogue to AI's black-box opacity. The Dao is also not a static entity but the dynamic process through which all things come into being ("周行而不殆," moving without end or exhaustion); its constancy is "precisely the constancy of impermanence." Understanding AI in education in its full complexity, Xie proposes, is a contemporary form of "cultivating reality" (修真): not the acquisition of fixed knowledge but ongoing attunement to a phenomenon that perpetually exceeds complete conceptual grasp. Attunement follows the Daodejing: "A person of Tao follows earth. Earth follows heaven. Heaven follows Tao. Tao follows nature" (道法自然) — where "naturalness" means "self-so-ness," that which is so of itself without external compulsion. The three challenges above are not Wuwei but Youwei (有为), deliberate, forced action that breaks harmony. Reconceived as an epistemic aim, Philosophy Of AI In Education thus reframes epistemic goods as provisional attunement rather than final acquisition (Metacognition).

"Self-Cultivation" (修道) as Ongoing Practice

Daoism conceives the "self" as never an isolated, autonomous entity: self-cultivation is inseparable from one's relationships with others and embeddedness within the broader fabric of reality — a holistic orientation refusing to dichotomize self from other. The self is "flowing and heterogeneous." Xie emphasizes that Daoist selfhood is gender-inclusive (unlike Confucian frameworks that historically excluded women): classical texts like the Neiye and Daodejing emerged from oral traditions whose teachings were never gender-specific, and from the Han dynasty women were active across Daoist schools, with the Highest Clarity (上清) tradition including solitary female ascetics and congregation leaders, and later Kundao (坤道) naming women's practice. The Daoist self is likewise age- and social-class-free, opening practice to all regardless of gender, class, or age, with Dao-nature held to inhere in all conscious beings — "extending even to animals, plants, and rocks."

The educational payoff is radical: if the self rejects atomistic individualism in favor of holistic embeddedness, "the very notion of being 'left behind' becomes ontologically untenable." A Digital Divide or algorithmic discrimination (Noble's Algorithms of Oppression) would be not merely technical or social failures but "violations of the fundamental constitution of the self, which is always already relational" — making equality of access to learning "not simply an ethical injunction but an ontological given." The embedded self also extends to those in power: asymmetric power dynamics and the climatic costs of computational infrastructure are "not externalities to be managed by detached actors, but integral dimensions of the self that demand ethical attention" (Ethics, Sustainability).

Self-cultivation (修道) proper divides into Waidan (外丹, External Alchemy: laboratory elixirs, herbal medicine, Bigu fasting, and movement practices like Taijiquan) and Neidan (內丹, Internal Alchemy), on which Xie focuses: the cultivation of interiority and psychic life, grounded in the Neiye's theorization of meditation, breath control, and the physiological foundations of self-cultivation. Techniques include the "fasting of the mind" (心斋) and "sitting and forgetting" (坐忘) — psychotechnologies for direct experiential apprehension of the Dao — working with vital energy (气), vital essence (精), and numinous spirit (神). The decisive line for AI in education: "There are no cognitive shortcuts, the practitioner cannot outsource this labor to external devices but must remain experientially and cognitively engaged." Surrendering cognitive agency to algorithmic systems "as a 'thought controller'" stands in direct opposition to the Daoist project of self-cultivation. AI should be reconceived "not as a cognitive surrogate but as an instrumental adjunct to human flourishing" — a refined implement "akin to the alchemical furnace or the herbal supplement," supporting but never supplanting the labor of interior cultivation, preserving learning as an embodied, effortful, self-transformative practice (Self Directed Learning, Critical Thinking, Agency).

"Zhenren" (真人) as a New Myth for AI in Education

Zhenren (真人), first used extensively in the Zhuangzi's "Great Venerable Teacher" chapter, denotes one who has fully realized the Dao — an ideal personality embodying practical wisdom and morality as a whole, harmonized with nature: "only when there is a Zhenren can there be true knowledge" (且有真人而后有真知). Zhen (真) is not merely an honorific but the very telos of practice — "reality" itself — so achieving such integration is termed Xiuzhen (修真), "cultivating reality." Xie reviews differing interpretations: Roger Ames reads the Zhenren as an "Authentic Person" whose identity is a continually creative, processual mode of self-disclosure realized through cultivated spontaneity; Campany's framework treats the Zhenren as both exemplary figure and a replicable soteriological program approximated through specific cultural scripts and embodied techniques.

As a model of self-cultivation, the Zhenren returns to innate nature, transcends artificial social distinctions, and dwells in equanimity, spontaneity, and cosmological unity, with a fluid, adaptive identity "resistant to any static or essentialized form." Xie positions this as "a powerful counter-ideal to the passive, algorithmically managed learner produced by contemporary AI in education." Concretely, the Zhenren is first a natural learner who insists on first-person experiential labor, treating AI only as an intellectual prosthesis rather than a cognitive surrogate. Second, the Zhenren rejects polarized narratives — neither technological fanaticism (AI as omnipotent panacea) nor technophobia (AI as Promethean transgression, Frankensteinian loss of control, or transhumanist human–machine fusion) — resisting frameworks that reduce the human–AI relationship to mastery, fear, or merger. Third, the Zhenren "interrogates algorithmic taxonomies that sort learners and technology into ostensibly fixed categories of ability, risk, and potential," recognizing such classifications as constructed artifacts violating the fluid, processual nature of authentic self-cultivation (fixed categorizations, AI Literacy).

The Zhenren also models a "fluid, natural knowledge partnership": cultivating reality was never a privatized or egoistic pursuit but a practice whose benefits were extended to the broader community, fostering educational relations that are "responsive and reciprocal rather than extractive and unidirectional." Knowledge circulates "organically, like vital energy through a living network," with educator, learner, and technology co-participating in the spontaneous generation of understanding (Human AI Collaboration). Ultimately the Zhenren "displaces the dominant narrative of frictionless optimization with one of cultivated wholeness," reimagining learning not as data-driven efficiency but as "the harmonious integration of self, society, and cosmos." Importantly, the ideal is democratically available: "Every learner, regardless of background, gender, or class, may cultivate innate nature and relational embeddedness through disciplined practice," affirming that "no student is merely a dataset to be managed, but a whole being" — an educational telos of cultivating persons "cognitively present, ethically accountable, and holistically embedded" (Well Being, Student Engagement).

Implications, Dialogue, and Limits

Xie frames the paper as a dialogue rather than a synthesis: "using each to render visible what the other obscures, rather than synthesizing them into a single framework." The contribution to comparative philosophy of education, he argues, is that non-Western traditions "do not simply diversify existing debates; they can reshape the conceptual foundations through which AI itself is understood" (Theory Development AIED, Learning Theories).

The limits are stated plainly. The work is interpretive, not empirical, and does not claim representativeness for "Daoism" as a whole; classical concepts "require adaptation before they can speak to AI," and their cultural translation into contemporary educational contexts requires careful contextualization to avoid Orientalism. The paper also acknowledges that Daoist concepts are drawn from a living tradition with internal debates, not a monolithic canon. Future work is invited to examine how Daoist-inspired pedagogies operate across diverse educational settings and to compare them with other non-Western traditions such as Ubuntu and Buddhist epistemology. For practice, the paper's proposals remain at the level of aims and metaphors — epistemic attunement, non-outsourceable cultivation, and the Zhenren counter-ideal — rather than testable interventions, leaving open whether these framings change measurable learning outcomes or only the language with which educators describe them (Limitations In AIED Research, Curriculum Design, Teacher Role).

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Citation

Xie, Q. (2026). Alternative AI Philosophy: Daoism as Method for AI in Education. arXiv preprint arXiv:2609.10842.

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