Hinton proposes FDA-style approval process for new AI models
Geoffrey Hinton, the computer scientist known as the 'Godfather of AI,' said on the Smart Girl Dumb Questions podcast that AI companies should be required to prove their products are safe to a federal regulator before public release, similar to drug approval. He noted that drug makers must spend roughly $1 billion proving safety to the FDA, and argued AI should face at least that level of scrutiny. Currently, AI firms rely on their own internal safety benchmarks rather than external review.
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Hinton's proposal reflects growing unease among AI researchers, including those at OpenAI and Anthropic, who have warned that companies are racing toward more powerful systems without adequate safeguards. Introducing a mandatory external approval process could slow product releases and raise costs, which may face resistance from an industry built on rapid iteration. The idea also raises unresolved questions about which agency would oversee such approvals and what safety standards they would enforce.
- Hinton wants AI models to undergo FDA-style regulatory approval before public release.
- He compares the proposed process to drug approval, which can cost around $1 billion.
- The proposal follows warnings from AI insiders at OpenAI and Anthropic about insufficiently controlled, increasingly powerful systems.
Source: entrepreneur.com — Sherin Shibu, 2026-10-08
Published there as: “He Helped Create Modern AI. Now the ‘Godfather of AI’ Wants an FDA-Style Approval System for It.”
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