The federal government is moving AI oversight into a named leadership role. Under a White House policy described as the “first government-wide policy to mitigate risks of artificial intelligence (AI) and harness its benefits,” every federal agency must have a chief AI officer responsible for coordinating how AI is used.
The order is not only about appointing a title. The role carries authority over inventories, risk reviews, public notice, compliance planning, and decisions about when AI may affect rights or safety.
What agencies must do now
Some federal agencies have already named chief AI officers. Agencies that have not done so must appoint a senior official over the next 60 days.
The White House and the Office of Management and Budget (OMB) also set expectations for the authority behind the role. If an existing chief AI officer cannot coordinate AI use across the agency, that person must receive more authority or the agency must choose a new official.
OMB said ideal candidates could include chief information officers, chief data officers, or chief technology officers. The common thread is that the appointee must have “significant expertise in AI” and enough seniority to make agency-wide coordination real.
The timeline also includes a compliance deadline. By December 1, chief AI officers must correct all non-compliant AI uses in government unless an extension of up to one year is granted.
The job is part adviser, part watchdog
Chief AI officers will serve as senior advisers on AI initiatives. They must monitor and inventory agency uses of AI, giving the government a clearer view of where the technology is already operating and where it may be expanded.
Their risk assessments must consider whether AI uses affect “safety, security, civil rights, civil liberties, privacy, democratic values, human rights, equal opportunities, worker well-being, access to critical resources and services, agency trust and credibility, and market competition,” according to OMB.
That list makes the role broader than a technical review function. The officer is expected to connect AI decisions to public services, agency credibility, worker impacts, and individual rights.
Chief AI officers must also develop plans for meeting minimum safety standards. They are expected to work with chief financial and human resource officers on the budgets and workforces needed to use AI in ways that support each agency’s mission and ensure “equitable outcomes.”
Where AI can help, and where it can raise risks
OMB encourages agencies to prioritize AI development and adoption for the public good. The policy points to possible uses such as improving the accessibility of government services, reducing food insecurity, addressing the climate crisis, improving public health, advancing equitable outcomes, protecting democracy and human rights, and growing economic competitiveness in a way that benefits people across the United States.
At the same time, the policy gives chief AI officers responsibility for deciding which AI uses may affect safety or rights. That decision matters because safety- or rights-impacting systems must follow OMB’s minimum standards for responsible AI use.
OMB describes several kinds of safety-impacting AI uses. These include systems that control “safety-critical functions” in areas ranging from emergency services to food-safety mechanisms to systems controlling nuclear reactors. AI used to maintain election integrity, move industrial waste, control health insurance costs, or detect the “presence of dangerous weapons” could also fall into the safety-impacting category.
Rights-impacting uses are also defined broadly. OMB includes censoring protected speech and a range of law enforcement uses, such as predicting crimes, sketching faces, or using license plate readers to track personal vehicles in public spaces. Other examples include “risk assessments related to immigration,” “replicating a person’s likeness or voice without express consent,” and detecting students cheating.
Oversight will be centralized and public-facing
Once chief AI officers decide whether an AI use affects safety or rights, they must centrally track those determinations. They must also inform OMB when there are major changes to the “conditions or context in which the AI is used.”
The officers will regularly convene through a new Chief AI Officer Council. The council is meant to coordinate efforts and share innovations across government, giving agencies a forum for aligning practices rather than treating AI governance as a purely internal matter.
The public-facing side of the role is also significant. As agencies advance AI uses, the White House says the effort is meant to “strengthen AI safety and security, protect Americans’ privacy, advance equity and civil rights, stand up for consumers and workers, promote innovation and competition, advance American leadership around the world, and more.”
Chief AI officers will become accountable figures for those decisions. OMB said they must consult with the public, incorporate “feedback from affected communities,” notify “negatively affected individuals” of new AI uses, and maintain options to opt-out of “AI-enabled decisions.”
The opt-out rule has limits
The policy does not make opt-out options absolute. OMB said chief AI officers may waive opt-out options “if they can demonstrate that a human alternative would result in a service that is less fair (e.g., produces a disparate impact on protected classes) or if an opt-out would impose undue hardship on the agency.”
That exception underscores the balancing act at the center of the policy. Agencies are being pushed to adopt AI where it can support public missions, but they must also document risks, provide oversight, and identify when automated decisions could meaningfully affect people.
The result is a new governance layer for federal AI use. Each agency’s chief AI officer will be expected to know where AI is being used, determine whether those uses affect safety or rights, correct non-compliance, and serve as a visible point of accountability as government AI adoption expands.