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.”
Americans are paying too much for almost everything, because the United States has long treated its trucking industry as an artifact to be preserved rather than as an opportunity for innovation.
These ideas aim to advance the detailed policy solutions needed to foster public trust and implement fairness in the adoption of AI across diverse domains, from healthcare and government benefits to rural access, education, and worker protections.
The evidence is clear: algorithmic pay-setting is established in app-based work, and payroll/timekeeping failures show how software can produce systemic wage harm at scale
While a few states have taken steps to implement decision-making mechanisms for certain AI systems, too many leaders are simply accepting narratives about AI’s purported public benefit at face value – jumping to the “how” of AI implementation before thoroughly vetting potential systems and deciding whether they are appropriate to use at all.