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Global Table of National AI Strategies

WPF's Global Table of National AI Strategies is a meticulously researched interactive data visualization. Researched and visualized to the UN M49 Standard, the data mapping includes filters for region, country, sectors, strategies with privacy initiatives, AI governance, date of launch, and more.

The Evolution of Singapore‘s AI Verify Episode II: A Talk with AI Verify Insider April Chin

April Chin is co-CEO of AI assessment company Resaro, one of a small group of invite-only "premier" members of Singapore's AI governance program, AI Verify. In this second episode in Privacy on the Ground's series about AI Verify, Chin discusses the evolution of AI Verify, the methods and approaches it has developed and piloted, recent initiatives such as its generative AI-focused global AI Assurance Pilot, and the obstacles that external auditors like Resaro might face when it comes to accessing important components of AI systems needed for meaningful assessment. The interview was recorded in November 2025.<br /> <br /> The Privacy on the Ground intro theme features music by Pangal. Episode music is by Zefyr.<br /> <br /> Featured in this episode:<br /> -April Chin, Co-CEO of Resaro<br /> -Kate Kaye, Deputy Director of World Privacy Forum

The Evolution of Singapore‘s AI Verify Episode I: Policy Is Implementation

Some might consider AI Verify's "building the plane as it flies" approach to AI governance to be rushed or risky; some might question the organization's deep collaboration with industry. But no matter what, it's hard to argue that Singapore's AI Verify project -- and its unique policy sandbox style model -- is influential and offers a real-world example of AI governance that is willing to test and iterate much in the same way that the tech industry itself does. In this first episode of our three-part series on Singapore's AI Verify, listeners will learn about the history and evolution of AI Verify and its key projects, and get a glimpse from insiders into one of its most recent efforts aimed at assessing generative AI applications. 

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