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.”
With thoughtful policy action, it is still possible to build systems that are fair, transparent, and accountable, and to earn the public trust that will ultimately determine AI’s future. We hope policymakers are ready to act.
Procurement is not merely an administrative function—it is how AI enters government and the first line of defense for responsible AI in the public sector.
Responsible AI starts with who is in the data, who is at the table, whose needs shape the outcome, and who is responsible when it falls short.
There is no question this is a Big Deal. If you are a university or research lab, or aspire to work in one, or are simply an enthusiast of federally-funded research, what’s next will matter.