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.
ITU to host AI for Good Global Summit in Geneva
The International Telecommunication Union (ITU) will organise the AI for Good Global Summit from 7 to 10 July 2026 at...
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