The U.S. government center responsible for independently assessing advanced AI systems has no permanent leader, has stopped publishing its safety research, and recently asked staff to report informally to a White House office, according to an Associated Press report published November 8, 2026.
The Center for Advancing Innovation and Standards for Super Intelligence, or CAISSI, sits within the Commerce Department. Independent evaluations can give policymakers and the public evidence beyond AI developers’ own descriptions of their systems.
AP’s reporting identifies three overlapping problems: unstable leadership, a missing public research record, and uncertainty about the center’s reporting relationship. Together, they make it harder to judge whether U.S. oversight is keeping pace with frontier models and increasingly autonomous AI agents.
What AP Reported About CAISSI
Two former government officials with knowledge of ongoing conversations told AP that CAISSI officials were recently asked to report informally to a White House office. They spoke anonymously to avoid repercussions for current staff.
The report identifies no public directive or specific White House office. The request’s scope, duration and place in the formal chain of command remain unclear. It should therefore be understood as a reported informal arrangement, not an announced transfer of the center out of Commerce.
The leadership problems are more concrete. According to AP’s report, also published by ABC News:
- A director was hired and fired within days in April.
- His replacement served for a few months before resigning.
- The head of CAISSI’s parent institute now also serves as its acting director.
- Congress began asking in August why the center had stopped publicly releasing reports about AI systems’ safety performance.
Having an acting director means the center is not leaderless. The concern is continuity: repeated changes make it harder for outsiders to identify who owns the research agenda and is accountable for publication decisions.
The publication halt also needs a precise reading. AP reports that public research has stopped; that is different from evidence that all internal testing has stopped. The immediate, observable loss is transparency into what the center is finding.
Why the Reporting Relationship Matters
CAISSI’s position involves two different kinds of independence.
The first is independence from AI developers. A government evaluator can examine a system without relying entirely on the company’s choice of tests, interpretation of results or description of acceptable risk.
The second is the ability to preserve technical findings within government, including findings that may be inconvenient for an administration’s policy goals. AP describes CAISSI as an independent division of Commerce, which places it inside the executive branch. Its relationship with political leadership therefore matters even without a formal organizational change.
Critics interviewed by AP worry that closer White House involvement could politicize decisions involving cybersecurity and biological risks, or lead to findings being softened or withheld in deference to the AI industry. These are concerns about possible outcomes, not documented instances of findings being altered.
AP also reports the opposing argument: closer access to the president could give the center greater prominence and potentially more funding.
Both possibilities make the operating rules important. White House coordination could help an evaluator secure resources or get urgent findings in front of decision-makers. It could also create pressure over what gets tested or published. The useful distinction is whether policy officials coordinate around technical findings or gain influence over the findings themselves.
My view is that publication practices offer the clearest near-term accountability measure. An organizational chart cannot reveal whether an unfavorable result survives review. A consistent public record of methods, limitations and findings gives outsiders something they can actually examine.
A Small Budget Adds Capacity Questions
AP reports that CAISSI receives $10 million annually, approximately one-eighth of the annual budget of its U.K. counterpart. That comparison gives a sense of scale, although budgets alone cannot establish whether two organizations have equivalent responsibilities or testing capacity.
Independent evaluation requires more than obtaining a model and asking it difficult questions. Evaluators need access, suitable test environments, technical expertise and time to investigate failures. Agent testing can add further work because researchers must examine sequences of actions and their consequences.
The practical question is how much coverage the center can provide: which systems it evaluates, which risks it investigates, and whether it can revisit findings as models and deployment conditions change.
AP reports that OpenAI had also called for greater funding and support for the division. That is relevant industry support for government evaluation, but it is not evidence that the center’s resources are sufficient.
The stronger conclusion from the published evidence is narrower: CAISSI has a modest allocation compared with its U.K. counterpart, while its leadership and public reporting are unsettled. The available reporting does not provide a workload breakdown that would support a precise estimate of the funding shortfall.
AI Agents Expose a Testing Gap
AI agents can plan and carry out multiple steps using tools and services. Evaluating them therefore requires attention to their behavior throughout a task, as well as the final result.
Sayash Kapoor, an incoming assistant professor at the University of California, Berkeley School of Information, told AP that there is still no standard process for testing how safely agents act in real-world situations, even for something as ordinary as booking a flight.
A completed booking can look like success in a final-result check. It does not, by itself, describe every action the agent took to get there. Kapoor emphasized examining “the entire set of steps that an agent took.” His comments appear in the AP report carried by ABC News.
That distinction has practical consequences. Consider an illustrative booking evaluation: an assessor might check whether the agent stayed within its authorized spending limit, used only permitted information and sought confirmation before making an irreversible purchase. Those are examples of evaluation questions, not findings about a particular product.
A useful safety report would explain:
Frequently Asked Questions
3 questions
1Is CAISSI Still Part of the Commerce Department?
AP describes CAISSI as a division of Commerce. The reported informal White House arrangement is not an announced transfer to another department or office.
