Building Trust in the Age of AI: From Data Openness to…

Overview: 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 ac

Key Topics: countability in AI, reflected in emerging policy directions such as the EU AI Act and Korea 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.