AI and Intangible Heritage: Exploring Sustainable Cultural Transmission Through a Dual-Framework Approach

This study explores how artificial intelligence (AI) is being used to support the sustainable transmission of intangible cultural heritage (ICH). While much of the existing research focuses either on technical innovation or cultural theory, this paper brings the two together through a dual-framework approach that considers both how AI systems work and what cultural roles they serve. Drawing on nine recent cases from Chinaincluding projects in embroidery, paper-cutting, and operathe study traces how analytical models contribute to documentation and interpretation, while generative techniques help recreate traditional patterns in new formats. It also looks at how immersive interfaces and recommendation algorithms shape user experience, and raises concerns about authenticity, equity, and creative diversity. The findings suggest that AIs role in heritage should move beyond digitization to include creative co-production, participatory design, and inclusive governance. This research offers a structured foundation for future interdisciplinary work at the intersection of AI and culture, and provides practical insights for developers, cultural institutions, and policymakers seeking to align technological innovation with the values and needs of living heritage.