The flawed nuclear-AI analogy
“The most ambitious international visions for regulating AI borrow from nuclear governance in the belief that such a framework can both help minimize AI’s potential harms and boost the United States’ ability to lead,” write a current and former expert in the Nuclear Policy Program at the Carnegie Endowment for International Peace, in Foreign Affairs.
Anthropic CEO Dario Amodei assigns “The Making of the Atomic Bomb” to employees and has likened himself to Manhattan Project scientist Leo Szilard. He describes the most powerful AI models as “weaponizable nuclear materials,” Foreign Affairs says.
But the nuclear-AI analogy “paints too rosy a picture of nuclear weapons governance, crediting it with successes that are still debated and may yet be unearned. It also blurs key differences between AI and nuclear technology that reveal just how much more difficult AI governance will be. Nuclear materials can be traced and accounted for to a much greater extent than AI components can. Nuclear weapons were designed, built, and now remain under strict government control; AI is built principally by private companies with strong profit motives, which move faster than states can regulate them. Whereas nuclear technology’s use cases are narrow, AI’s cut across nearly every sector and security domain,” says Foreign Affairs.
And AI governance “faces an additional challenge: policymakers need to mobilize support for action even as the scale of the threat remains abstract.”
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