11-12, August 2026 Seoul, South Korea View More Details & Registration Note: The schedule is subject to change.
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This presentation examines the evolving role of open data in the next phase of artificial intelligence development, and the growing imperative to align innovation with trust. As AI systems become increasingly data-driven, the quality, origin, and governance of data are emerging as foundational issues that will shape not only technological progress, but also public confidence and global competitiveness. The talk situates these developments within a broader shift toward greater transparency and accountability in AI, reflected in emerging policy directions such as the EU AI Act and Korea’s Korean AI Basic Act. Rather than viewing openness as a risk to be constrained, it explores how responsible data practices and shared governance approaches can enable wider participation in AI development while maintaining integrity and trust. Ultimately, the presentation argues that the future of AI will depend not only on model performance, but on the strength of the underlying data ecosystem. Building sustainable trust around open data—through transparency, collaboration, and accountability—will be critical to unlocking the full potential of AI at scale.
Honglak Lee is currently an Executive Vice President and Chief Scientist of Artificial Intelligence at LG AI Research and an Associate Professor of Computer Science at the University of Michigan, Ann Arbor. Previously he worked as a Research Scientist at Google Research, Brain Team... Read More →
