딥마인드 CEO, 최첨단 AI 규제 위한 독립 기구 신설 촉구

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. "Once the assessment protocol is shown to be effective and robust, formalisation could quickly follow, meaning that Frontier Models would be required to pass it to be deployed in the US market. 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. Those reviews drew significant criticism for lack of technical expertise and opaque decision-making as to when a model could be released. 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. The prospect of AI regulation remains controversial for both the tech industry and the Trump Administration. Most recently, White House AI advisor and a16z general partner Sriram Krishnan discounted the possibility of an AI regulator within the executive branch, saying "there will not be an FDA for AI." Establishing the standards body as a self-regulatory organization like FINRA could be a way to address those concerns. 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. They could even outsource some evaluations to the growing pool of AI safety groups who would be able to specialize in specific risks. "The strength of this approach is it would be technically focused, while at the same time supporting innovation and incentivising responsible behaviour," Hassabis argues. "It is designed to keep up with the field’s acceleration and adapt to the biggest risks as they are identified, and could be ratcheted up if the seriousness of the situation demands." Topics AI , AI regulation , DeepMind , Demis Hassabis When you purchase through links in our articles, we may earn a small commission . This doesn’t affect our editorial independence. Russell Brandom AI Editor Russell Brandom has been covering the tech industry since 2012, with a focus on platform policy and emerging technologies. He previously worked at The Verge and Rest of World, and has written for Wired, The Awl and MIT's Technology Review. He can be reached at russell.brandom@techcrunch.com or on Signal at 412-401-5489. View Bio November 4 Boston Last chance to save up to $190 on TechCrunch Founder Summit. Join 1,000+ founders and VCs at all stages for real-world scaling insights and connections that move the needle. Savings end June 26, 11:59 p.m. PT . REGISTER NOW Most Popular Satya Nadella has issued a shocking warning to companies using AI Julie Bort The wildest allegations in Apple’s trade secrets lawsuit against OpenAI Sarah Perez Anthropic starts localizing Claude pricing for India, its biggest market after the US Jagmeet Singh Meta removes controversial AI feature on Instagram after backlash Lucas Ropek Apple sues OpenAI over alleged trade secret theft Sarah Perez Elon Musk praises Mythos/Fable, promises not to ‘cut off' Anthropic Julie Bort Instagram users: Here’s how to stop Meta’s AI from using your photos Lauren Forristal