Commentary. Artificial intelligence policy has reached the point where delay is no longer neutral. Every month without credible safeguards leaves companies, workers and citizens to negotiate the risks of increasingly powerful systems through contracts, platform policies and lawsuits after the damage is done.
Our view is not that Washington should freeze technological progress. Nor is it that every alarming prediction about artificial intelligence deserves to become law. The better case is narrower and more practical: the United States needs mandatory, independent testing for high-risk AI systems, clear disclosure duties and meaningful penalties when developers conceal serious failures.
The current debate is moving in the opposite direction. Federal lawmakers are considering broad national standards, but no comprehensive federal AI law has been established, according to recent reporting by The Tennessean. That vacuum invites two bad outcomes: companies receive inconsistent obligations across states, while policymakers mistake the absence of a national framework for evidence that no framework is needed.
The case for restraint
The strongest argument against heavy regulation is economic and legitimate. AI development is expensive, competitive and global. Rules that require every new model to navigate a slow federal approval process could favor the largest companies, push investment overseas and prevent smaller firms from competing. Broad definitions of “advanced” or “dangerous” systems could also capture ordinary tools that pose limited risks.
There is a second concern: regulators may not understand the technology well enough to write durable rules. A law aimed at today’s chatbots could become obsolete before agencies finish implementing it. National security officials also argue that excessive disclosure could reveal capabilities or weaken the United States in competition with governments that impose fewer constraints.
These objections should shape the policy, but they should not end the argument. The answer to bad regulation is measurable regulation—not regulatory absence.
What a workable framework would do
Congress should concentrate on capabilities and consequences rather than brand names or speculative scenarios. Systems used in critical infrastructure, health care, employment, education, finance and public safety deserve heightened scrutiny because errors can scale quickly and fall hardest on people with the least power to challenge them.
- Require standardized pre-deployment tests for high-risk systems, with results submitted to an independent public authority.
- Mandate incident reporting when systems cause substantial harm, leak sensitive information or evade safety controls.
- Protect researchers who expose dangerous failures and require companies to preserve audit records.
- Give individuals a clear route to contest consequential automated decisions and obtain human review.
- Use flexible technical standards that can be updated by experts without rewriting the entire statute.
This approach would not guarantee safety. No test can predict every failure, and no regulator can eliminate malicious use. But aviation, medicine and financial markets all operate with imperfect safeguards because society recognizes that accountability is preferable to discovering risks only after catastrophe.
Common tests, not one global rulebook
Some policymakers and analysts have proposed international coordination rather than a single national regime. A recent analysis in Eurasia Review argued that countries should pursue common evaluations even if their laws differ. That is sensible. Shared testing methods, incident-reporting terminology and research on model behavior could make regulation more effective without requiring every government to adopt identical rules.
Yet voluntary cooperation will not substitute for domestic accountability. Companies may welcome common standards when they reduce compliance costs, but they cannot be allowed to choose whether oversight applies. International coordination should reinforce enforceable national rules, not become another reason to postpone them.
The political warning is already visible. Politico reported that a proposed federal preemption provision intended to prevent states from making AI policy was rejected overwhelmingly in the Senate. That vote reflects a basic democratic principle: until Congress creates a credible national framework, states will continue trying to protect their residents. The long-term answer is not fifty incompatible systems, but neither is forbidding action while federal lawmakers debate.
AI can produce genuine gains in science, productivity and public services. Those benefits deserve protection from panic-driven rules. They also deserve protection from a commercial race in which safety is treated as a marketing promise rather than a verifiable obligation.
Our position is therefore straightforward: regulate the highest-risk uses, test systems before deployment, disclose serious failures and preserve room for innovation. The choice is not between progress and safeguards. It is between governing the technology deliberately and allowing its most powerful actors to set the rules by default.