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Nvidia's Jensen Huang: AI Development Must Not Slam on the Brakes, But Needs a 'Seatbelt'
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On October 20, IT Home, citing a blog post published by the technology media outlet Android Headline on October 19, reported that NVIDIA CEO Jensen Huang shared his views on artificial intelligence regulation in London. He explicitly opposed restricting AI development through 'emergency braking' or harsh regulation, and advocated establishing a 'seatbelt' for AI. These remarks came against the backdrop of an ongoing global debate over AI safety and the pace of innovation.
The report said Huang believes that constraining AI should not rely on simple bans or heavy-handed regulation, but should be achieved through smarter safety standards, monitoring mechanisms, and accident-prevention measures. He compared AI to critical infrastructure such as power grids and water supply systems, emphasizing that such systems need reliable safety guarantees rather than one-size-fits-all restrictions. Huang said he frequently discusses risk monitoring and safety protocols with AI researchers.
In Huang's view, AI regulation needs to balance innovation and risk control. He opposed responding to AI development by 'slamming on the brakes,' arguing that smarter safety standards are what can work in practical applications. These remarks continued his judgment of AI's infrastructure nature and also provided the vivid 'seatbelt' metaphor for regulatory discussion.
On international collaboration, Huang proposed that the United Kingdom could serve as a neutral platform for AI safety dialogue among parties such as China and the United States. The report said this suggestion aims to promote stronger communication among different countries on AI safety issues. Huang also disclosed that NVIDIA has committed to investing $250 million in UK AI safety research over five years, equivalent to about RMB 1.673 billion at current exchange rates.
Regarding recent market concerns such as delays in data center construction and postponed IPOs of AI companies, Huang called them 'growing pains' in the industry's rapid expansion. He said the core capabilities of modern AI have already been established, and some current fluctuations do not change this judgment. Huang also pointed out that startups need to learn to bear financial and governance responsibilities as the market matures.
In terms of impact, Huang's remarks added a voice from the chip and computing power industry to the debate over AI regulatory paths. The report said he both opposes strict regulation and emphasizes safety standards and accident prevention, trying to find a balance between development and safety. NVIDIA's investment commitment to UK AI safety research is seen as a concrete action of this approach.
Looking ahead, AI safety standards, monitoring mechanisms, and international dialogue will remain key focuses of attention. Huang's analogy to critical infrastructure means AI governance may shift more toward continuous monitoring and risk prevention. The report said whether the United Kingdom can become a neutral platform for relevant dialogue, and how the industry's 'growing pains' can be alleviated, remain to be seen.
