Abstract
In an age marked by global crises, a transcultural understanding of the philosophical foundations of human thought—especially in epistemology and ethics—has become essential. Contemporary ecological crises unfold on a planetary scale, exceeding both the conceptual limits of nation-states and the historically constituted horizons of dominant Western paradigms. Addressing them requires normative frameworks grounded in global interdependence rather than any single civilizational matrix, emerging through sustained transcultural dialogue that integrates diverse philosophical traditions into a shared ecological perspective. As a major geopolitical actor, China demands serious philosophical engagement in this context. Yet traditional research on Chinese ecological thought has relied on close reading, which limits conceptual analysis. While hermeneutic methods remain indispensable for interpreting individual texts, they cannot systematically identify recurring conceptual patterns across extensive corpora spanning diverse discourses and long, diachronically differentiated periods. The result is a fragmentary interpretation focused on isolated authors, concepts, or epochs rather than reconstructed continuities and ruptures. This paper proposes a new model based on human–machine collaboration, employing self-supervised embeddings and large language models to generate empirical insights that complement qualitative analysis. By integrating theoretical and AI-driven approaches, it expands reflective capacities and establishes a framework for evaluating AI-generated philosophical insights, contributing to more robust transcultural ecological frameworks.