Today’s national security classification system “relies on antiquated policies from another era that undercut its effectiveness today,” the Information Security Oversight Office told the President in a report released yesterday.
Modernizing the system is a “government-wide imperative,” the new ISOO annual report said.
But that is a familiar refrain by now. It is much the same message that was delivered with notable urgency by ISOO in last year’s annual report which found that the secrecy system is “hamstrung by old practices and outdated technology.”
The precise nature of the modernization that is needed is a subject of some disagreement. Is it a matter of improving efficiency in order to cope with expanding digital information flows? Or have the role of secrecy and the proper scope of classification changed in a fundamental way?
Whatever the goal, no identifiable progress has been made over the past year in overcoming those obsolete practices, and no new investment has been made in a technology strategy to help modernize national security information policy. In fact, ISOO’s own budget for secrecy oversight has been reduced.
Even agencies that are making use of advanced technologies such as artificial intelligence, machine learning, and predictive analytics in other areas have not considered their application to classification or declassification, ISOO said. “These technologies remain untapped in this area.”
At some point, the failure to update secrecy policy becomes a choice to let the secrecy system fail.
“We’re ringing the alarm bells as loud as we can,” said ISOO director Mark A. Bradley.
After months of delay, the council tasked by President Trump to review the FEMA released its final report. Our disaster policy nerds have thoughts.
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.
Investment should instead be directed at sectors where American technology and innovation exist but the infrastructure to commercialize them domestically does not—and where the national security case is clear.
To tune into the action on the ground, we convened practitioners, state and local officials, advocates, and policy experts to discuss what it will actually take to deploy clean energy faster, modernize electricity systems, and lower costs for households.