AI Legislation

Top AI executives pressed at a closed G7 lunch for a U.S.-led coalition to set standards for advanced AI, proposing structured access to frontier models, trade controls on chips and cooperation on cyber, bioterrorism and intelligence risks.

Tensions to watch: the proposal — reportedly excluding China — comes days after U.S. export-control actions forced Anthropic to cut international access to its Mythos and Fable models, even as Sam Altman urged governance through democratic institutions and an international forum for testing and risk analysis.

Tracking: AI Legislation · AI law · AI regulation

Geography: European Union, United States, United Kingdom, Canada, China, India, Australia, Japan, South Korea, Brazil, Singapore, Mexico

1. AI CEOs Urge U.S.-Led Coalition for Global AI Rules at G7

At a closed-door lunch on the final day of the G7 summit in Évian-les-Bains, Anthropic CEO Dario Amodei, OpenAI CEO Sam Altman, and Google DeepMind CEO Demis Hassabis urged creation of a U.S.-led coalition to set rules and standards for advanced AI.

They proposed structured access to frontier models, controls on trade in chips and critical components, and cooperation on AI risks in cyber, bioterrorism and intelligence; a source said the proposal would exclude China.

Altman argued governance should involve democratic institutions and an international forum for testing and risk analysis.

The meeting included about a dozen other tech leaders — including executives from Mistral, Cohere, Salesforce, Meta and more — and came days after the U.S. forced Anthropic to cut international access to its Mythos and Fable models amid export-control concerns.

Key facts:

- Event: closed-door lunch, final day of G7 summit in Évian-les-Bains

- Speakers: Dario Amodei, Sam Altman, Demis Hassabis

- Proposal: U.S.-led coalition to set AI rules and standards

- Recommended measures: structured frontier-model access; chip/component trade controls

- Security focus: cyber, bioterrorism, intelligence cooperation

Why it matters: Framing AI governance as a U.S.-led, security-focused coalition could shift international policy away from multistakeholder or standards-body models toward geopolitically aligned controls, benefiting U.S. firms and security partners while sidelining China.

This approach heightens tensions with European and Canadian moves toward "AI sovereignty," risks fragmenting global rules, and makes export controls and access regimes central levers to watch — specifically whether the proposal is formalized, how excluded states respond, and how safety-focused actors press for broader participation and independent testing.

Pymnts

Generated by newsltr · 2026-06-18T22:58:33.330Z