AI Briefing: A New AI Body Without the West, an Audit Problem Cracked, and Nobel Economists Call for Preparation
Twenty-nine mostly non-Western nations meeting in Shanghai, an AI test that never generates the harmful output, and 16 Nobels on the pace of change.
Welcome to your AI Briefing, where I wade through the news chaos so you don’t have to. Every other Friday, we cover three stories: what happened, why it matters, what it means for our lives, and the bottom line.
This week:
Every prior intergovernmental AI body has included Western democracies among its members. A new one formed this week without a single Western signatory.
Testing AI image models for whether they could generate illegal content has meant generating that content. A team of researchers just published a way around the problem.
Economists have historically resisted claims that a new technology will transform society faster than institutions can adapt. A large, credentialed group of them just published exactly that claim about AI.
A New Global AI Governance Body Just Formed Without the West
What Happened
Twenty-nine countries signed an agreement in Shanghai this week to establish the World Artificial Intelligence Cooperation Organization, a new intergovernmental body headquartered in the city. Chinese Foreign Minister Wang Yi signed on behalf of China. The other founding members include Russia, Belarus, Serbia, Cuba, Brazil, Venezuela, Pakistan, Indonesia, Kazakhstan, and Laos, alongside additional signatories from across Africa and Asia. United Nations Secretary-General António Guterres attended the ceremony.
The signing came on the eve of the annual World Artificial Intelligence Conference in Shanghai, where Chinese President Xi Jinping is expected to lay out Beijing’s vision for the country’s role in global AI governance. China first proposed the organization at last year’s conference, and no country had formally committed until now. The United States, European Union, United Kingdom, and Japan are absent from the founding members’ list.
Why It Matters
Global AI governance is starting to take shape along two parallel intergovernmental tracks. The existing frameworks that carry weight in Western capitals, from the OECD’s Global Partnership on AI to the European Union AI Act, are anchored in the world’s leading AI-producing democracies. The new organization creates a China-anchored track for a different constituency: countries that have felt underrepresented in Western-led AI governance conversations, along with states that maintain strategic distance from the US alignment. Its membership makes clear a governance track designed for Global South participation from the founding, rather than adding developing-country voices to a framework already shaped by wealthier states.
None of the major Western AI democracies signed. That absence confirms the split reflects strategic division on AI governance, not a wide-participation effort that happens to be China-hosted. Diplomatic and technical coordination on AI now runs through Shanghai as well as through Brussels and Washington, and whichever body moves fastest to specify concrete technical standards (whether that’s model safety testing or cross-border data flows) is well positioned to shape what production AI systems have to look like to operate across borders.
What It Means for Us
Which set of AI rules we live under is starting to depend more and more on where we live. For those of us in the founding member states, our governments have committed to a specific multilateral framework whose norms may diverge from those developed under Western-anchored bodies. For those of us in the countries not signed on, our AI models and platforms will still be exported to and shaped by the standards of the countries where they operate. The AI systems we use every day, from search assistants to the recommendation engines behind our feeds, are built and trained under regulatory environments that are pulling apart.
When the rules governing training data and content moderation diverge across jurisdictions, the same underlying technology gets tuned differently for different markets. That reaches us through what our tools can and cannot say, and through what kinds of automated decisions they are permitted to make in our lives. Any organization operating across borders, from multinational employers to small businesses running ads abroad, now has more governance regimes to reconcile. Even outside the workplace, the online services we depend on cross national borders, and their availability will be shaped by the regulatory maps that took a new shape this week.
Bottom Line: The next question for the new organization is whether it produces binding technical standards or stays advisory. If the new body eventually adopts binding technical standards, that would create structural divergence in how AI gets built — with distinct training and content-moderation requirements encoded into models under each intergovernmental track. Advisory status would make it a diplomatic instrument without meaningful operational teeth. The first technical standard it issues will tell us which track this becomes. AI governance has now entered the domain of geopolitical competition, and the frameworks shaping the AI in our lives will be the ones that move fastest to specify what compliance means in practice.
Researchers Publish a Way to Screen AI for Illegal Content Without Generating Any
