DeepMind CEO calls for an independent standards body to regulate frontier AI
In an X post on Tuesday morning, Google DeepMind CEO Demis Hassabis called for the creation of a new regulatory body to oversee frontier model releases....
Key points
- In an X post on Tuesday morning, Google DeepMind CEO Demis Hassabis called for the creation of a new regulatory body to oversee frontier model releases.
- Titled “A Framework for Frontier AI and the Dawning of a New Age,” the post makes the case for a “standards body” modeled after the Financial Industry Regulatory Authority (FINRA), which could test frontier models and develop best practices for their release.
- “Initially, Frontier Labs would voluntarily share models with the Standards Body for review up to 30 days before release,” the post reads.
- Labs would also work with the Standards Body to address any critical post-release vulnerabilities.” The proposed system would build on the ad hoc reviews performed by the US government on Anthropic’s Mythos and OpenAI’s Sol.
What happened
In an X post on Tuesday morning, Google DeepMind CEO Demis Hassabis called for the creation of a new regulatory body to oversee frontier model releases. Titled “A Framework for Frontier AI and the Dawning of a New Age,” the post makes the case for a “standards body” modeled after the Financial Industry Regulatory Authority (FINRA), which could test frontier models and develop best practices for their release. “Initially, Frontier Labs would voluntarily share models with the Standards Body for review up to 30 days before release,” the post reads. Labs would also work with the Standards Body to address any critical post-release vulnerabilities.” The proposed system would build on the ad hoc reviews performed by the US government on Anthropic’s Mythos and OpenAI’s Sol. Under Hassabis’s proposed regulator, those decisions could be handed off to a new organization, backed by the US government but funded by the AI industry and operated independently. Hassabis envisions the regulator being staffed by open-source representatives and technical experts from within the industry, along with the financial backing from AI labs that would be necessary to retain them.