In the current era where globalization and digitalization are deeply intertwined, cultural diversity is becoming increasingly prominent. As vital carriers of national cultural genes, traditional cultural symbols face the pressing challenge of adapting to modern communication contexts in their inheritance and innovation. The rapid development of artificial intelligence (AI) offers groundbreaking solutions to this dilemma. With its strengths in data processing and pattern generation, AI is profoundly reshaping the creative logic and practical pathways of visual design for traditional cultural symbols. Based on this context, this paper systematically explores the significance of AI-assisted visual design of traditional cultural symbols, analyzes specific applications of image recognition, algorithmic generation, and big data analysis in design practices, and examines core challenges such as misinterpretation of cultural connotations and high technological costs. It further proposes targeted solutions, including enhancing AI’s capacity for cultural learning, optimizing technologies to reduce costs, and promoting designer training and mindset transformation, to facilitate the broader dissemination and deeper innovation of traditional cultural symbols in contemporary society.
Xiaoyi Wang (Fri,) studied this question.