CDC targets agentic AI use in new AI strategy

The Centers for Disease Control and Prevention launched a strategy and guidance for use of artificial intelligence on Thursday, setting a direction for the agency’s own work and providing resources for public health officials across the country. Those documents point to a desire to promote adoption of the technology, empower the workforce to use it, and ensure the tools are governed properly. But, more uniquely, the publications encourage the use of “agentic” or “deep research” AI uses — those that can autonomously carry out specific tasks — which CDC is already tapping into. Almost 10% of CDC’s roughly 100 AI use cases were agentic tools in 2025, according to the Department of Health and Human Services’ recently reported AI use case inventory. Its share of agentic uses makes up roughly a third of such deployments across the department. As a result, the CDC’s new strategy includes specific language to leverage that technology to support public health, strengthen research and data management, and improve access to data. And simultaneously, the agency released specific guidance for state, tribal, local and territorial (STLT) public health authorities on the use of AI agents for research based on experiences from its own exploration.

The White House is launching a task force aimed at eliminating fraud in federally run programs — a goal that will be pursued largely through beefed-up data-sharing processes. The executive order signed Monday by President Donald Trump is framed through the lens of various fraud cases in Minnesota involving Medicaid, a Department of Agriculture child nutrition program and Small Business Administration loan programs during the COVID-19 pandemic. Investigations into the alleged fraud began under the Biden administration’s Department of Justice, but the scandal has since been wielded by the Trump White House to freeze funds and strip away benefits from residents of the Gopher State. Under Trump’s new order, the task force will be charged with developing a national strategy to combat fraud in federal benefit programs. The EO calls specifically for new measures to improve eligibility verification processes and create controls to prevent the disbursal of improper payments. The task force will also be required to “promote the facilitation of information and data sharing and coordination between State, local, tribal, and territorial governments and the Federal Government, and benefit-providing agencies and law enforcement agencies,” per the order. Interagency data-sharing would additionally be prioritized as part of an overarching enforcement push aimed at disrupting and dismantling “fraud networks and facilitators,” the EO states.

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