Who Gets to Define the Rules for AI?
Summary
The article argues that AI governance should be evidence-based, transparent, and inclusive, warning against letting a few dominant labs set global safety standards. It outlines four pillars—risk framework, mandatory transparency, testing, and independent assurance—and calls for broad participation from academia, civil society, smaller labs, and governments to ensure safe, sovereign deployment of AI.