In 2012, the number of newly created national security secrets (or “original classification decisions”) dropped by a startling 42% from the year before, according to the Information Security Oversight Office. It was the largest annual drop ever reported by ISOO, yielding the lowest annual production of new secrets since such numbers began to be collected in 1979. (Secrecy System Shows Signs of Contraction, Secrecy News, June 25, 2013).
Now it seems that this 2012 decline in the production of new secrets was not merely a fluke, but perhaps the start of a trend. The latest ISOO annual report indicates that in 2013 the number of reported new secrets continued to decline by an additional 20% to 58,794 original classification decisions, another new record low.
For the first time in a decade, the number of “derivative classification decisions” in which previously classified information is incorporated into new records also declined in 2013, ISOO reported.
“Agencies reported a total of 80.12 million derivative classification decisions in FY 2013, a decrease of 16 percent from FY 2012. Although we can not pinpoint a single cause for this decrease, we do know it was due in part to the refinement and correction of estimation practices employed by some agencies. Other possible contributing factors could be the recent emphasis on proper classification procedures coming from the expanded agency self-inspection requirements, the inspector-general reviews conducted in response to the Reducing Over-Classification Act, and the Fundamental Classification Guidance Reviews that all agencies conducted in 2012,” the ISOO report said.
The Information Security Oversight Office, housed at the National Archives, reports to the President of the United States on national security classification policy and oversees the operation of the classification system.
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FAS and FLI partnered to build a series of convenings and reports across the intersections of artificial intelligence (AI) with biosecurity, cybersecurity, nuclear command and control, military integration, and frontier AI governance. This project brought together leaders across these areas and created a space that was rigorous, transpartisan, and solutions-oriented to approach how we should think about how AI is rapidly changing global risks.