On April 3, the National Reconnaissance Office successfully launched a classified intelligence satellite into orbit from Vandenberg Air Force Base. Notwithstanding the usual operations security measures, amateur satellite trackers were able to locate the satellite in orbit within a few hours and even to videotape its passage overhead.
Last week’s launch is the first of four scheduled launches of NRO satellites in the next five months. Last year, the NRO launched six satellites over a seven month period.
“We are in the middle of a launch campaign with an unprecedented operational tempo across national security space programs,” said Gil Klinger, deputy assistant secretary of defense for space policy, at a March 8 hearing of the House Armed Services Committee.
“Many of our space capabilities have become the ‘dial tone’ of national security,” Mr. Klinger said. “And like the dial tone of our telephones, we take their availability and presence for granted, noticing only when there is an unplanned service interruption.”
By intelligence community standards, the NRO has demonstrated exceptional financial management, said Betty Sapp, NRO principal deputy director.
“For the third year in a row, the NRO received a clean audit opinion on our Financial Statements, a truly unprecedented accomplishment within the IC,” she said at the March 8 hearing.
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.