The Trump administration pushed forward Friday with plans to fire federal employees amid the government shutdown, directing reductions-in-force at the Departments of Health and Human Services, Education, and Housing and Urban Development, among other agencies. Prior to and during the current shutdown, the White House repeatedly threatened to lay off additional federal workers in a bid to further its efforts to shrink the size of the government. The Trump administration maintains Democrats are to blame for the shutdown, though Democrats contend that a spending bill from Republicans — who control all levers of power — wouldn’t adequately fund health care. Russ Vought, the director of the Office of Management and Budget, posted on X early Friday afternoon that the “RIFs have begun,” without offering additional details. An OMB spokesperson told FedScoop the RIFs began and are “substantial.” In a preview of his discussions with Vought last week, President Donald Trump said in a post to his social media platform that they would target “Democrat Agencies,” calling them “a political SCAM.” According to a court filing from the Trump administration late Friday, at least 4,100 federal workers across eight federal agencies may have been sent RIF notices, with the bulk of the staff reductions at HHS, with 1,100 to 1,200 workers impacted, and the Department of Treasury, with 1,446 workers impacted.

Deploying artificial intelligence requires taking on the right amount of risk to achieve a desired end result, a National Institute of Standards and Technology official who worked on its risk management framework for the technology said on a panel last week. While federal agencies, and particularly IT functions, are generally risk averse, risks can’t entirely be avoided with AI, Martin Stanley, an AI and cybersecurity researcher at the Commerce Department standards agency, said during a FedInsider panel on “Intelligent Government” last week. Stanley said: “You have to manage risks, number one,” adding that the benefits from the technology are compelling enough that “you have to go looking to achieve those.” Stanley’s comments came in response to a question about how the federal government compares to other sectors that have been doing risk management for longer, such as financial services. On that point specifically, he said the NIST AI Risk Management Framework “shares a lot of DNA” with Federal Reserve guidance on algorithmic models in financial services. He said NIST attempted to leverage those approaches and the same plain, simple language. “We talk about risks, we talk about likelihoods, and we talk about impacts, both positive and negative, so that you can build this trade space where you are taking on the right amount of risk to achieve a benefit,” Stanley said.

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