Research on the Integration and Innovation of Artificial Intelligence in Intangible Cultural Heritage Illustration Creation
DOI:
https://doi.org/10.22399/ijcesen.1127Keywords:
Artificial Intelligence, intangible cultural heritage, Heritage Illustration, Generative Adversarial Networks, Machine Learning, Creative TechnologyAbstract
Incorporation of AI into the developmental process of illustrations of ICH is not only a great advancement in the process of utilizing technology to put into practice ICH, but also shows a shift from the static use of traditional cultural factors in the representations of the ICH. In this research context, references shall be made to how information science and AI, particularly in connection with computer technologies, can be used for better visualization and sharing of intangible cultural heritage with generations to come. This paper discusses how the AI computational methods, especially the deep learning and generative models can mine and replicate the historical and cultural data to generate new, relevant, but culturally authentic illustrations of the heritage.
This research will also establish how AI tools can recreate and reimagine traditional signifiers belonging to intangible cultural heritage by using image recognitions, natural language processing, and generative adversarial networks (GANs). Unlike traditional arts that have to be copied to conform to the current standards, these technologies not only replicate, but they also bring in new approaches by providing novel interpretations to traditional arts while at the same time conserving their originality as discussed below. This is important because it is only now that due to the advancement of AI, culturally relevant illustrations are created, which can be shared through digital platforms making heritage more accessible. The results will help to determine whether AI can be used as an instrument that can be effective in the sphere of conservation, as well as open up a possibility for further creation in the sphere of cultural heritage. This research will also provide a reference point for artists, historians and cultural organizations, who want to use AI in conserving and repurposing traditional or cultural asset in the modern socio-technological context.
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