AI Rules Need Proof to Work

The U.S. government has big plans for AI. They aim to lead the world in AI technology by:

• Speeding up innovation
• Improving infrastructure
• Ensuring fairness and safety

However, rules alone won't make AI trustworthy.

The Problem with Self-Reporting

• Rules without proof are not enough
• Companies grading their own homework? Would you trust the results?
• Currently, AI companies often report their own performance, leading to:
• Biased information
• Incomplete information

The Need for Independent Evaluation

• Other industries (finance, healthcare) have independent oversight
• AI should be no different
• Benefits of independent evaluation:
• Better evidence for regulators
• Increased industry confidence
• Built public trust

The Urgency

• 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

• 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