Artificial Intelligence Generated Content (AIGC) technology combines machine learning and natural language processing to provide a new way to digitally display and disseminate intangible cultural heritage. the technology is based on the fields of deep learning and computer vision to build a theoretical framework that provides practical guidance for the digital transformation of intangible cultural heritage. This study adopts the case study method, taking Wuhan Textile University Jingchu Textile Nonheritage Museum and “Ancient Chinese Loom Virtual Simulation Experiment” as examples, explore the integration of AIGC technology with virtual reality and other technologies to provide an immersive experience, in-depth analysis of the standardization of digitization of non-legacy, the path of resource sharing, as well as the innovative application of design of exhibition space and educational dissemination. The study proposes a progression path for the digital display of NRH through literature review and case studies. the results of the study show that AIGC technology plays an important role in the protection and inheritance of non-legacy, enhances interactivity and immersion, and supports the modern dissemination of traditional culture. At the same time, the study points out the challenges facing the development of AIGC technology, such as data privacy and algorithmic bias, which require further research and policy support to ensure the healthy development of the industry. The deep integration of AIGC technology provides new perspectives and strategies for the sustainable development of non-heritage.
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Hu et al. (2024) studied this question.