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urgency by ISOO in last year’s annual report which found that the secrecy system is “hamstrung by old practices and outdated technology.”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.
As the United States continues nuclear modernization on all legs of its nuclear triad through the creation of new variants of warheads, missiles, and delivery platforms, examining the effects of nuclear weapons production on the public is ever more pressing.
“The first rule of government transformation is: there are a lot of rules. And there should be-ish. But we don’t need to wait for permission to rewrite them. Let’s go fix and build some things and show how it’s done.”
To better understand what might drive the way we live, learn, and work in 2050, we’re asking the community to share their expertise and thoughts about how key factors like research and development infrastructure and automation will shape the trajectory of the ecosystem.
Recognizing the power of the national transportation infrastructure expert community and its distributed expertise, ARPA-I took a different route that would instead bring the full collective brainpower to bear around appropriately ambitious ideas.