Through design thinking labs, simulations, journey mapping, and prototyping, teams will explore AI system lifecycles, identify Policy 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 Policy roadmap tailored to their institutional or national context, based on global best practices and international frameworks.
AI for Good: Young robotics innovators gear up for finals
When countries teeter on the brink of famine, artificial intelligence (AI) and robotics can save lives and strengthen livelihoods. Agricultural...
Robotics for Good Youth Challenge
1300+ submissions from around the world for the AI for...
A father and son walk past a wall with an airplane painted on it. The child, who is non-verbal, says one...
AI Film Festival | Global Summit
How RareSum is rethinking rare disease diagnosis for patients still...
For patients living with a rare disease, the road to a diagnosis is often longer than the road to treatment....
Global Summit | Innovation Factory

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