Earlier this year, the Department of Defense classified the schedule of flight tests of ballistic missile defense systems, even though such information had previously been unclassified and publicly disclosed.
Rejecting that move, Congress has now told the Pentagon’s Missile Defense Agency that the flight test schedule must be unclassified.
A new provision in the FY2019 national defense authorization act (sect. 1681) would “require that MDA make the quarter and fiscal year for execution of planned flight tests unclassified.”
“Together with the release of each integrated master test plan of the Missile Defense Agency, and at the same time as each budget of the President is submitted to Congress…, the Director of the Missile Defense Agency shall make publicly available a version of each such plan that identifies the fiscal year and the fiscal quarter in which events under the plan will occur,” the provision states.
This legislative action will effectively override the classification judgment of the executive branch. That is something that Congress rarely does and that the executive branch regards as an infringement on its authority.
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.