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.
Enhancing open-source large language models for industrial use: Insights from...
At the 2025 AI for Good Global Summit, Wang Kai, Vice Manager at China Unicom Data Intelligence Co., Ltd., presented...
Global Summit
Yuanjing model drives China’s digital industrial transformation
In a comprehensive presentation at the 2025 AI for Good Global Summit, Wang Kai, Vice Manager at China Unicom Data...
Global Summit
Transparency and trust in the age of AI-generated content
AI-generated content (AIGC) is reshaping how people create, consume, and trust digital media. What once seemed like niche experimentation has...
Global Summit









