A Sage-Entropy Critique of Human-Centered AI Toward a Dao Follows Nature Theory of AI Governance

This book undertakes a systematic theoretical reconstruction of "Human-Centered AI" (HCAI), the dominant discourse in contemporary AI governance, advancing a central thesis: any architecture that sets the preference of a single species as the ultimate governing center of a technological system carries a structural tendency toward instability whenever it lacks constraint from a higher-level reference frame. This is not a simple denial of HCAI's real-world value—Section 0.5 systematically surveys the genuine crises, from algorithmic discrimination to privacy erosion to the ethical dilemmas of medical AI and autonomous vehicles, that have earned HCAI its global consensus; Chapter One further distinguishes four schools within HCAI—design-centered, rights-centered, governance-centered, and alignment-centered—so as to avoid flattening a genuinely diverse international discussion into a single target of critique. On this fair footing, the book draws on cybernetics, systems dynamics, and the author's original Sage Entropy toolkit, developed within the Lao-Yang Genesis Cosmology (LYGC)—the civilizational stability function Λ, whose phase-transition thresholds are specified here for the first time (Λ>1, self-correcting zone; Λ=1, critical point; Λ<1, entropy-explosion zone)—to diagnose how HCAI, absent external constraint, is captured layer by layer by the greedy positive-feedback structures of capital and state power (the 3L-GFM model). A dedicated chapter argues the specific mechanism by which AI systems "naturally amplify greed": AI does not manufacture new desires, but systematically lowers the marginal cost of fulfilling existing ones by reconstructing the cost function, the reward function, and the information-feedback loop—a derivation that gives the Desire Amplification Factor (DAF) an operationalizable technical foundation rather than leaving it at the level of metaphor. The book's core methodological innovation lies in the cybernetic refinement of two comparative case studies: first, the trajectory of technological–power runaway from atomism through nuclear fission to nuclear weapons and the shadow of nuclear war; second, the digital recurrence from the early internet through smartphones to "3G addiction" (Girl, Game, Gambling) and on to the political, economic, and spiritual crises of 3L-DAF. The book argues that AI, as a "second-order agent," differs from traditional technologies such as the steam engine or the printing press—which merely amplify human capacity for action (DAF)—in that it directly intervenes in and reconstructs human cognition and self-correction capacity (CCF) itself. This is the key criterion by which Sage Entropy in the AI domain represents a qualitative, not merely quantitative, shift, and it is the core evidence with which this book answers the "proving too much" objection. Building on sustained dialogue with international scholars—Bostrom, Tegmark, Floridi, Nissenbaum, Gebru, and Crawford among them—this book proposes Nature-Follows-Dao AI Governance as an independent theoretical framework: falsifiable, equipped with operationalizable diagnostic indicators and a pathway for institutional embedding—that is, the concrete unfolding, in the field of AI governance, of the Lao-Yang Genesis Cosmology Governance Model—rather than remaining a purely negative commentary on HCAI. The aim is to offer AI governance research an original theoretical contribution rooted in the Lao-Yang Genesis Cosmology while remaining fully engaged with the international academic discourse.