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AI governance in practice: Developing secure and innovative frameworks

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...

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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.