Trump’s AI Standards Chief Resigns After Just Three Months

Chris Fall, director of the Center for AI Standards and Innovation (CAISI), has resigned after three months in the role. The agency confirmed his departure to multiple news outlets, offering no explanation for his exit.

Fall's resignation marks the third leadership change at CAISI in less than five months. David Sacks, the White House AI and crypto czar who initially led the agency, stepped down in March. His successor, Collin Burns, lasted less than a week before departing in April after the Trump administration learned he had previously worked for Anthropic, a company the administration had been battling over export controls.

Before joining CAISI, Fall served as director of the Department of Energy's Office of Science during Trump's first term and acted as director of the DOE's Advanced Research Projects Agency-Energy. He also held roles within the DOE's Office of Naval Research.

The instability at CAISI arrives as the administration grapples with competing pressures on AI policy. In June, the Commerce Department invoked an export control directive that forced Anthropic to withdraw its Mythos and Fable models from the market. The ban was lifted by month's end after Commerce Secretary Howard Lutnick approved Anthropic's safety plans.

Meanwhile, Google DeepMind CEO Demis Hassabis has called for an independent, industry-run standards body to oversee frontier AI—essentially the same mandate CAISI was designed to fulfill. The White House also recently signed an executive order creating "Gold Eagle," a new AI safety oversight program that coordinates cybersecurity vulnerability responses across federal agencies. Notably, CAISI was not listed among the participating organizations.

Additionally, the administration has been weighing restrictions on Chinese open-source AI models following Moonshot's Kimi model demonstrating competitive performance against leading frontier systems. Former AI czar David Sacks publicly opposed this approach, arguing that regulations should not function as protectionism for U.S. proprietary AI labs.

CASI, housed under the National Institute of Standards and Technology, is tasked with developing technical standards and testing methods for AI models and assessing cybersecurity risks. The agency has published reports evaluating Chinese open-weight models including Z.ai's GLM-5.2 and DeepSeek V4 Pro, though it has not publicly detailed its evaluation processes.