南昌大学学报（人文社会科学版）

随着人工智能（AI）技术的迅猛发展，以AI大模型为代表的数智技术正重塑非遗的社会化认知与传承方式。在内在逻辑上，AI大模型通过数字迷因的解耦再造、智能具身的活态认知、泛生交融的弥漫连接和人机情绪的价值对齐，为非遗的社会化认知重塑提供了理论基础，在认知机理上形成了“模态融通—推演触点—人智信任—镜像沉浸—情感持存—价值联盟”的新链路，实现了从感官激活到价值认同的重构。然而，这一过程面临认知主权异化、认知交互困境、认知情感剥削和认知安全风险等挑战，需要从构建人机协同确证机制、以人文主义逻辑引领技术发展、强化行业伦理准则与算法规制、坚持自主创新并完善治理框架等维度着手展开应对，实现技术创新与文化传承之间的平衡，确保AI大模型服务于受众对非遗的文化认同和价值传承目标。

With the swift advancement of artificial intelligence(AI), digital and intelligent technologies, epitomized by large AI models, are reshaping the social cognition and transmission of intangible cultural heritage. Theoretically, large AI models provide a foundation for this cognitive reshaping through four mechanisms: the decoupling and reconstruction of digital memes, the embodied and dynamic cognition facilitated by intelligent agents, the pervasive connections of pan-generative fusion, and the value alignment of human-computer emotion. This has forged a new cognitive pathway: “modal integrationdeductive touchpoints-human-AI trust-mirrored immersion-emotional persistence-value alliance”,which reconstructs the process from sensory activation to value identification. However, this transformation confronts several challenges, including the alienation of cognitive sovereignty, dilemmas in cognitive interaction, the risk of cognitive-emotional exploitation, and cognitive security risks. To address these issues, it is imperative to construct a human-computer collaborative validation mechanism, guide technological development with humanistic principles, strengthen industry ethics and algorithmic regulation, and adhere to independent innovation while improving the governance framework. These measures are essential for achieving a balance between technological innovation and cultural preservation, ensuring that large AI models serve the overarching goals of fostering cultural identity and perpetuating the value of intangible cultural heritage among the public.