Exclusive: Google DeepMind's Demis Hassabis calls for U.S.-led global AI watchdog - Axios
Quick Answer
Demis Hassabis, co-founder and CEO of Google DeepMind, advocates for a U.S.-led global AI watchdog to oversee advanced AI models and manage potential risks.
Quick Take
Demis Hassabis, co-founder and CEO of Google DeepMind, advocates for a U.S.-led global AI watchdog to oversee advanced AI models and manage potential risks. His proposal, outlined in a manifesto titled 'A Framework for Frontier AI and the Dawning of a New Age,' emphasizes the need for coordinated industry action in response to emerging dangers.
Key Points
- Hassabis proposes a global AI watchdog to screen advanced AI models.
- The manifesto outlines a framework for managing AI-related risks.
- Coordination is essential if dangers from AI technologies increase.
- Hassabis is a Nobel laureate known for developing the Gemini model.
- The call for regulation aims to ensure safe AI development.
Article Excerpt
From source RSS / original summaryBecause we can't link your Axios subscriber account (email) to browser cookies, you may also want to update your settings in the Privacy Center to ensure your account is fully opted out. See our Privacy Policy for more on how we use personal data and your rights. Review our Privacy Policy at axios. com/legal for more on how we use personal data and your rights. Demis Hassabis, Google DeepMind co-founder and CEO, is calling on the U. S.
to establish a new AI watchdog with the power to screen the world's most advanced models — and coordinate an industry-wide slowdown if dangers mount. * Hassabis, the Nobel laureate behind Gemini, lays out the plan in a personal manifesto published Tuesday morning, "A Framework for Frontier AI and the Dawning of a New Age. ". **Why it matters:**In an exclusive
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from WebSearch (Tavily)
See more →Stop just chatting with AI. Learn to build production-ready software in ...
The 2026 Bootcamp offers hands-on training in building production-ready software using Generative AI, LLM applications, and AI agents, emphasizing practical skills over casual interaction with AI. Participants will learn to develop applications like Cursor AI, preparing them for real-world challenges in AI development.