Google DeepMind Calls For US To Spearhead AI Standards Body

Google DeepMind CEO Demis Hassabis proposed a U.S.-led AI standards body to review frontier models for national security risks, initially voluntary and eventually mandatory for deployment. The body, modeled on FINRA, would require substantial industry funding and conduct tests for safety guardrails, deception, and watermarking.

Google DeepMind chief Demis Hassabis is calling for a U.S.-led AI standards body to review frontier models for national security risks such as cybersecurity and biological threats. His proposal would create a federally overseen public-private organization, initially voluntary and eventually mandatory for U.S. deployment. CNBC reports: Google DeepMind boss Demis Hassabis, a Nobel laureate, said in an article posted on X on Tuesday that "urgent action" was needed to address risks associated with artificial general intelligence AGI -- the point at which AI matches or surpasses human intelligence. "We've already seen the challenges frontier models pose for cybersecurity, and other threats including nuclear and bio risks may soon emerge as capabilities continue to advance," he said. ... Hassabis said the U.S. was well positioned to lead in developing an AI framework "given its economic and technical standing." "It could establish a new Standards Body modelled on a federally overseen public-private partnership or self-regulatory organisation, much like the Financial Industry Regulatory Authority FINRA , with a board that includes independent leading technical experts and open-source representatives," he added. FINRA regulates brokerage firms and exchange markets in the U.S. The proposed body would need "substantial" funding "in order to attract world-class technical talent and provide the necessary compute resources for large-scale testing," Hassabis said. Funding would "likely" come from industry, he added. Frontier labs would initially voluntarily share models with the body for review up to 30 days before release, before becoming mandatory for deployment in the U.S. market after being shown to be "effective." "Specific agentic AI tests could look for attempts to bypass safety guardrails or signs of deception, and ensure best practices, such as digitally watermarking AI-generated images and generating human-readable output tokens to understand model reasoning," Hassabis said. Further reading: Over 200 Economists Say 'We Must Act Now' On AI's Economic Impact Read more of this story https://yro.slashdot.org/story/26/07/14/1934241/google-deepmind-calls-for-us-to-spearhead-ai-standards-body?utm source=rss1.0moreanon&utm medium=feed at Slashdot.