A Middle Path for AI Oversight

I take Dario Amodei’s warning about advanced artificial intelligence seriously. I also believe the response must make room for useful innovation. The practical challenge is to create oversight that can identify dangerous behavior, require correction, and explain its decisions without turning every new tool into a prolonged permission process.

My preferred model is accredited third parties with government oversight: private expertise, public accountability. Technical evaluators need enough access and independence to verify what developers claim. Public authorities need clear responsibility for standards and enforcement. Developers and the people affected by their systems need transparent rules, timely decisions, and meaningful appeals.

That position comes from two experiences that have shaped how I think about regulation: studying animal science at the University of Tennessee, where my education included food science and government inspection systems, and working through stormwater policy as president of a builders association in Northwest Florida. One helped me appreciate verification. The other taught me to question whether a requirement actually improves the outcome it promises.

Take the warning seriously and define the response

In his September 2026 essay, “We Must Pace the Frontier,” Amodei argues that advances in AI capabilities need to be paced so safeguards can keep up. He proposes embedded outside evaluators, coordination among democracies, and efforts toward international coordination. His warning deserves attention; his proposed response also deserves scrutiny. [1]

I am especially interested in independent evaluators having sustained access to the work they assess. A convincing demonstration is useful, but oversight must reach the conditions behind it: what was tested, what failed, what changed, and whether the safeguards remain effective when the system is operating beyond a carefully prepared presentation.

We should be able to support that principle without pretending there is a simple answer to how an industry slows down. What activity would be restricted? What evidence would justify the restriction? Who would decide when work can resume? A credible framework must answer those questions before uncertainty becomes an excuse for either unchecked deployment or indefinite delay.

What food safety taught me

At Tennessee, learning about food science and government inspections made safety concrete. It involved processes that people could examine and standards against which performance could be judged. My experience was educational; I do not claim to have served as a government food inspector. What stayed with me was the importance of making assurances verifiable.

An inspection system has value when it connects an observable problem to a required response. A finding that disappears into a file does little good. A requirement that nobody can explain is equally difficult to defend. The system needs competent people, dependable evidence, and responsibility for what happens next.

There is also a specific modern precedent for combining outside expertise with public oversight. In the FDA’s voluntary Accredited Third-Party Certification Program, FDA recognizes accreditation bodies that accredit certification bodies to audit foreign food facilities and issue certifications. It is an imported-food program, not a description of every food inspection system. [2]

AI will require its own methods. Software can change rapidly, and a model’s behavior can depend on the tools, permissions, and setting around it. The useful lesson is institutional: separate technical assessment from commercial promises, and connect that assessment to accountable public authority.

Give independent evaluation practical authority

Under the model I support, accreditation would establish that evaluators have relevant technical competence, sound methods, and enforceable conflict-of-interest rules. An impressive name should not substitute for demonstrated ability. Evaluators themselves should face periodic review, and repeated failures should put their accreditation at risk.

Access must be sufficient to examine relevant testing, development processes, incident records, and deployment controls. Sensitive information needs protection, including customer data and security details. But confidentiality cannot become a general veto over unfavorable conclusions. Reviewers should document material access restrictions, and serious findings should reach the responsible authority through a protected reporting channel.

Payment also needs attention. An evaluator who depends on keeping a powerful client happy may face pressure even without an explicit threat. Possible protections include limits on consulting relationships, rotation where appropriate, and funding arrangements that reduce dependence on any single developer. The details should be tested for effectiveness and cost.

Government would set enforceable requirements through a transparent process and retain responsibility for consequential enforcement. Serious failures should trigger corrective action, with clearly defined powers to restrict a dangerous deployment when warranted. A developer should know what must change, what evidence will demonstrate correction, and how the decision can be reviewed.

Match scrutiny to the risk

Risk-based oversight starts with what a system can do in its actual setting. A tool that suggests wording for a person to review presents a different situation from a system authorized to move money, alter infrastructure, or take actions across a network. Scale, autonomy, sensitive access, and the ability to reverse an error should shape the level of scrutiny.

Low-risk uses should have a straightforward route to operation, with basic responsibilities appropriate to their setting. More consequential systems should require stronger evidence, independent testing where justified, meaningful human intervention, and incident response plans. The most dangerous capabilities may warrant evaluation during development as well as before release.

A certificate should describe its scope and limits. Approval for one version, use, or permission level should not silently cover a materially different deployment. Significant changes should trigger proportionate reassessment. Nor should certification erase a developer’s responsibility: the organization building or operating a system remains accountable for its decisions.

The caution from Walton County

I learned another side of oversight while serving as president of a builders association in Northwest Florida. We were trying to advance a more comprehensive stormwater approach to protect sensitive ecosystems. I supported that objective. Protecting water quality and building homes responsibly should be compatible goals.

As I recall the Walton County process, however, the resulting requirements included detailed soil science reports for individual lots. In my judgment, the practical question often could have been answered more directly: how readily would the soil absorb or release water? I recall requirements adding thousands of dollars to a project without a water-quality benefit I could identify.

That is my account of the process I experienced, not a claim about every permit or today’s county requirements. The lesson concerns design. When applicants cannot clearly see why information is required or how a decision will be made, discretion can become a source of uncertainty, expense, and unequal treatment.

AI oversight could develop the same weakness. An extensive filing may look reassuring while failing to test the behavior that matters. A small developer may spend scarce resources navigating procedure while a better-funded competitor treats the same burden as routine. We should ask of every requirement: what risk does this address, and what evidence shows that it helps?

Make the rules accountable too

Transparent standards should tell people what is being evaluated, why it matters, and what evidence is acceptable. They should allow an alternative method when it demonstrates comparable protection. Public consultation should include smaller developers, independent researchers, users, and people who may bear the consequences of a failure.

Review timelines should be published and measured. Applicants should receive a clear explanation when submissions are incomplete or decisions are delayed. Missing a deadline should trigger escalation and explanation, rather than automatically approving a potentially dangerous system or leaving an applicant waiting indefinitely.

Appeals are essential. A person or company facing an adverse decision should receive reasons and have access to review by someone other than the original decision-maker. Urgent protective action may sometimes be necessary, but it should remain bounded and promptly reviewable. Accountability must extend to both the regulated organization and the regulator.

The framework should also measure its own performance. Are serious failures being detected? Are corrections completed? How much time and money does compliance require? Do comparable cases receive comparable treatment? Requirements that add burden without improving protection should be revised. Standards should evolve as evidence improves, through an intelligible process that people can follow.

Build a system that earns confidence

The middle path requires discipline from everyone. Developers must accept independent scrutiny. Evaluators must earn their credibility. Government must explain and defend its requirements. None of these responsibilities can be replaced by a broad promise that someone is looking after safety.

I want AI to improve lives, strengthen businesses, and expand what people can accomplish. That ambition is a reason to build oversight that works. We should move forward where the evidence supports it and require stronger protection as the potential for harm increases.

The standard I would carry into that work is simple: build guardrails, not mazes. Combine independent technical judgment with transparent public responsibility. Keep the focus on demonstrable protection and practical paths to correction. That is how we turn private expertise, public accountability into smart guardrails, not red tape.

Sources

[1] Dario Amodei, “We Must Pace the Frontier”, September 2026.

[2] U.S. Food and Drug Administration, “Accredited Third-Party Certification Program”.