Gaming and AI have mutually developed based on their unique characteristics. The gaming industry has always been an attractive ground for technology development, and we continue to see global companies and academia racing to introduce innovative technologies every day. We can also apply AI in various areas in gaming starting from content creation to improving the efficiency of complex game development processes. Such AI technologies have the potential to enhance diversity of content, thereby expanding the possibilities for future games. This talk will discuss game and AI in a more realistic perspective from an industry viewpoint. With the AI application case of ‘Lineage’, a representative IP in the MMORPG genre, this talk will discuss the research efforts, issues faced during the application process, and steps taken by the game’s developer NCSOFT to tackle these problems. This talk will also examine the various aspects that R&D should consider to commercialize AI in the industry, as well as how academia-industry collaboration can further advance the gaming industry and AI moving forward.

In this talk we will explore the topic of large language models, specifically multimodal large language models, and how they can help to promote language inclusivity. As technology advances, it is important that we develop tools that are accessible to everyone, regardless of their native language. Multi modal large language models have the potential to bridge the gap between languages by modeling semantically across spoken, written, and image modalities. This talk will discuss the research efforts in developing these models, the challenges involved, and the potential they hold for the future.