Here’s How an AI Slowdown Could Actually Be Enforced

Many AI researchers believe the technology they are developing could someday prove very dangerous, but there is no clear consensus on how to effectively slow or pause its development. Several approaches have been proposed, including tighter government regulations, new measurement techniques, third-party inspections of AI models, tracking the computing power used to train advanced systems, and international treaties to prevent competitive development across nations. The challenge is that even if major AI companies agree to a slowdown, ensuring no company attempts to advance ahead of others could prove difficult, and experts say controlling AI development will require funding and expertise from outside the AI industry itself. Political pressure is growing for a more measured approach to building AI, though how much the government will actually restrict the industry remains uncertain.