The House of Representatives yesterday passed the Reducing Overclassification Act, a bill that would require the Department of Homeland Security to prepare unclassified versions of intelligence reports that are likely to be of use to first responders and other non-federal officials. The legislation, introduced by Rep. Jane Harman, would also mandate improved oversight and training in order to combat overclassification at DHS.
“Though hard to believe, sheriffs and police chiefs cannot readily access the information they need to prevent or disrupt a potential terrorist [incident] because those at the Federal level resist sharing information,” Rep. Harman said. “Over-classification and pseudo-classification, which is stamping with any number of sensitive-but-unclassified markings, remain rampant.”
While it seems that the current political climate may not incentivize the use of evidence-based data sources for decision making, those of us who are passionate about ensuring results for the American people will continue to firmly stand on the belief that learning agendas are a crucial component to successfully navigate a changing future.
In recent months, we’ve seen much of these decades’ worth of progress erased. Contracts for evaluations of government programs were canceled, FFRDCs have been forced to lay off staff, and federal advisory committees have been disbanded.
This report outlines a framework relying on “Cooperative Technical Means” for effective arms control verification based on remote sensing, avoiding on-site inspections but maintaining a level of transparency that allows for immediate detection of changes in nuclear posture or a significant build-up above agreed limits.
At a recent workshop, we explored the nature of trust in specific government functions, the risk and implications of breaking trust in those systems, and how we’d known we were getting close to specific trust breaking points.