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The US government is failing Americans on AI | Shakeel Hashim

Trump and Republicans want companies to regulate themselves. It’s a dereliction of duty that will make AI less safe It is hard to get Sam Altman, Elon Musk and Dario Amodei to agree on much. But over the weekend, all three AI company CEOs called for AI development to slow down in the face of growing, alarming risks. Their employees are sounding the siren too, with one researcher publicly quitting…

The US government is failing Americans on AI | Shakeel Hashim

The US government is neglecting its responsibility to ensure artificial intelligence (AI) technology is safe for Americans, according to critics of the administration. High-profile AI innovators, including Sam Altman, Elon Musk, and Dario Amodei, have recently called for a temporary slowdown in AI development due to mounting concerns about the technology's risks.

These warnings are echoed by employees of major AI firms, with at least one researcher quitting OpenAI and alleging the company is "gambling with our lives." While some AI companies have voluntarily proposed to slow down their development, this relies on corporate goodwill which may not be reliable. Given the potential catastrophic consequences of rogue AI, independent government oversight is necessary to set minimum safety standards and prevent cover-ups.

However, the Trump administration and Republican leadership are resisting such measures, arguing companies should self-regulate. This stance is problematic because it assumes companies will act responsibly, a proposition that is not guaranteed. The administration should prioritize enacting legislation, such as the Frontier Act, which outlines important safety measures for AI.

While international cooperation is also needed to address AI safety, the US government must take the lead in protecting its citizens from potential AI threats before they become reality.

Written by urgent.news from Guardian Business's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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