Through design thinking labs, simulations, journey mapping, and prototyping, teams will explore AI system lifecycles, identify governance gaps, test oversight tools, and co-develop national strategies. Scenario exercises will address sector-specific challenges, risk mapping, and cross-border regulatory negotiations. By the end of the course, participants will have co-created a five-year AI governance roadmap tailored to their institutional or national context, based on global best practices and international frameworks.
Global AI convergence in action: Insights from the BIFNC workshop...
At the 2025 AI for Good Global Summit, the workshop Global AI convergence: Innovative practices for a shared sustainable future,...
Global Summit
AI for good starts with quality data
AI is transforming how we work, govern, and live, but only as far as its data allows: the quality of...
Europe Hubs Projects | Young AI Leaders Community
Exploring a balance of AI power and sustainability
At the 2025 AI for Good Global Summit, a panel of experts gathered to explore the evolving relationship between AI...
Global Summit








