Inadvertent Disclosures of DOE Classified Info Drop Sharply
Department of Energy classification reviewers at the National Archives examined over 2.5 million pages of previously declassified records earlier this year and found only nine (9) pages that they said contained classified information which should not have been publicly disclosed, according to a new report to Congress (pdf).
This is a vanishingly small error rate of less than a thousandth of a percent, the smallest ever reported by DOE since it began searching for inadvertently released classified nuclear weapons information in declassified files in 1999.
This might be considered well within the boundaries of what is reasonably achievable under a risk management approach to security policy.
Yet the DOE declassified document review program seems predicated on absolute risk avoidance, in which no release of classified information, no matter how outdated or innocuous it may be, is acceptable. And so the reviewers toil on, and public access to historical records at the National Archives remains disrupted.
See the Twenty-First Report to Congress on Inadvertent Disclosures of Restricted Data, U.S. Department of Energy, May 2006 (released in redacted form July 2006).
As Congress considers broader packages to advance critical minerals production and supply chain resilience, science diplomacy vehicles must be part of that conversation, not as an afterthought, but as an intentional and foundational pillar of any strategy.
“Structured partnerships with our allies on critical minerals innovation can ensure that the best science and the best talent are working together towards shared security and economic prosperity.”
This is a bipartisan, commonsense measure to reauthorize the Technology Modernization Fund (TMF) before it expires in September 2026.
Many states are introducing AI policies and task forces, but lack the “AI-native” personnel to build and maintain initiatives. To address this in the short term, states should establish AI Resilience Cohorts to embed early-career technologists in key offices to support state AI initiatives. Right now, Virginia and New Jersey have the opportunity to take […]