AI for Culture: Expanding the Industrialization and Creativity of Culture
Session Overview
AI is no longer just a technology — it is becoming a core driver that expands human creativity and industrializes culture. While Search organized information and Recommendation systems connected people to preferences, Generative AI is now extending the boundaries of creativity itself. We have entered the era of “Agentic Culture,” where AI collaborates with humans to co-create and amplify cultural production.
In this talk, Dr. Lee will present cases showing how the industrialization of culture is evolving, as AI enhances and expands artistic expression and creative output across music, art, food, fashion, and other cultural industries. He will also discuss how data significance and AI utilization are empowering creators to express themselves on a new scale.
Special emphasis will be placed on how AI can enhance human artistic sensibility and creativity—ultimately enabling richer and more sustainable cultural ecosystems. He will also explore Korea’s central role in shaping this new AI-powered cultural era.
Speaker
Lee Chi-hoon is a leading researcher and developer in the fields of Artificial Intelligence (AI) and machine learning, with a proven track record of driving real-world business impact through innovative R&D. Based on extensive experience accumulated at top global tech companies such as Yahoo, eBay/PayPal, Nokia, Apple, and Meta in Silicon Valley, he has played a pivotal role in advancing AI product and service development as well as core AI theories.
He is currently the Chief AI Officer (CAIO) at CJ Group, where he leads the company’s overall AI innovation strategy. His focus lies in digital transformation and advanced machine learning research, especially in the development of large-scale AI systems and models. Under his leadership, CJ is actively expanding its “AI for Culture” model and service development to drive cultural innovation and industry transformation.
Dr. Lee’s research interests span natural language processing (NLP) and computer vision (CV), with a particular focus on generative AI, machine intelligence, and collaborative AI. His work has been widely recognized at major international AI and machine learning conferences, including NeurIPS, ICML, and KDD, where he has presented multiple papers and talks. He also serves as a program committee member and reviewer for leading academic journals and conferences, contributing continuously to the global AI research community.