This paper explores how artificial intelligence is transforming engagement with cultural heritage from static preservation toward interactive knowledge production. Drawing on media-historical perspectives, it proposes the concept of knowledge liberation to interpret successive stages in the evolution of knowledge environments, from oral transmission and print culture to digital networks and AI-mediated interaction. Within this framework, cultural knowledge becomes progressively less constrained by the material conditions of its transmission. The paper examines several AI-enabled platforms developed at Peking University that support large-scale digitisation, structured data extraction, knowledge-graph construction, and multimodal cultural content generation. It argues that AI is emerging as a new knowledge medium that reshapes research methodologies, expands modes of cultural representation, and strengthens connections between humanities scholarship and public knowledge production.
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JUN WANG
King University
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JUN WANG (Tue,) studied this question.
www.synapsesocial.com/papers/69cf5ede5a333a821460d843 — DOI: https://doi.org/10.66532/jhai.2026.0007