Google DeepMind CEO Demis Hassabis has called for the creation of a US-led international body to develop common standards for frontier artificial intelligence, saying global cooperation is essential as AI systems become increasingly powerful.
Speaking at a technology event in Washington, Hassabis said advanced AI is progressing at an extraordinary pace and requires coordinated oversight to ensure it is developed safely and responsibly. He argued that countries should work together instead of creating fragmented regulations that could slow innovation or leave safety gaps.
According to Hassabis, the proposed organisation could play a role similar to international scientific bodies by bringing together governments, researchers and technology companies to establish shared guidelines for developing cutting-edge AI models. He believes common standards would help manage risks while allowing innovation to continue.
His comments come as governments around the world are racing to introduce AI regulations amid rapid advances in generative AI. While many countries have announced national policies, experts have increasingly called for greater international coordination because AI technologies can easily cross borders.
Hassabis also stressed that frontier AI systems have enormous potential to improve healthcare, scientific research, education and productivity. However, he warned that the same technologies could create serious risks if developed without proper safeguards, transparency and accountability.
The DeepMind chief said the United States is well placed to lead such an initiative because of its strong research ecosystem and the presence of many of the world’s leading AI companies. At the same time, he emphasised that any standards body should involve broad international participation to ensure global acceptance.
His remarks reflect growing debate within the technology industry over how best to govern increasingly capable AI models. Companies, policymakers and researchers continue to discuss issues such as safety testing, responsible deployment, transparency and security as AI adoption accelerates.