AI Rules Need Proof to Work

The U. S. government has big plans for AI. They want to lead the world in AI technology. They have set goals to speed up innovation, improve infrastructure, and ensure fairness and safety. But rules alone won't make AI trustworthy. The problem is that rules without proof are not enough. Think about it like this: If companies could grade their own homework, would you trust the results? Of course not. But right now, AI companies often report their own performance. This can lead to biased or incomplete information. Policymakers need independent, continuous evaluation to make sure AI systems are safe and effective. Other industries, like finance and healthcare, have independent oversight. AI should be no different. Independent evaluation can provide better evidence for regulators, increase industry confidence, and build public trust. The U. S. can't afford to wait. If oversight doesn't keep up, risks will grow faster than our ability to manage them. The bottom line is that AI policy needs proof to work. Independent evaluation is essential for AI governance. It's not about creating new rules, but about making existing ones enforceable. This will ensure that AI innovation is both bold and responsible.