Beyond the Brush: The First Steps of AI-Driven Content Creation at Riot Games

Abstract

Machine Learning algorithms are reshaping content creation in game development, opening new possibilities for efficiency and creativity. At Riot Games, generative models, diffusion techniques, neural rendering, and Large Language Models (LLMs) are being explored to assist in 3D asset creation, textures, animations, and interactive content. Not as replacements for artists, but as powerful tools to enhance their workflows.

This talk will highlight the challenges and opportunities of integrating AI into the production pipeline, from early experiments to emerging best practices. As these technologies evolve, the focus remains on developing ML-assisted workflows that empower developers and artists while preserving creative control. This is just the beginning of a long journey into ML-assisted game development.

Bio

Chedy Raissi is the Senior Manager of Data Science at Riot Games in Singapore. He has over 20 years of research experience in data mining, and machine learning, with a strong focus on video games development in recent years.

Chedy holds a PhD in Computer Science from the University of Montpellier and the École des Mines d’Alès (2008). Before joining Riot Games, he was the Director of Data Science at Ubisoft Singapore (2019–2022), where he led AI and data-driven initiatives for game development. He also served as a chargé de recherche at INRIA, France (2010-2019), where he remains a French civil servant (currently on sabbatical), and worked as a research fellow at the National University of Singapore, focusing on privacy-preserving data mining in healthcare (2008-2010).

Beyond the gaming industry, Chedy is actively involved in AI research for space exploration. He serves as a Technical Co-Director for the NASA Frontier Development Lab (FDL) and co-leads FDL’s AI Technical Committee, a cross-challenge function ensuring the solvability of problems from an ML perspective while maintaining FDL’s commitment to robust, explainable ML models.

With 5 years of game development experience, including contributing to the creation of a new IP, his work now centers on generative AI for assets creation and algorithmic research for video games.