It is important to understand that there is no rigorous, consensual definition of what constitutes classified information. Instead, in a practical sense, classified information is whatever the executive branch says it is.
(A minority of classified information, such as nuclear weapons design information, is specified and protected by statute. The remainder, the large majority, is classified by executive order.)
In 1997, the Central Intelligence Agency declassified the total intelligence budget for that year ($26.6 billion). But intelligence budget figures from three, four and five decades earlier remain classified. Why? Because the CIA says so!
One might argue that it should be the other way around — budget figures from the remote past should be declassified while more recent figures should perhaps be classified. But such logic is foreign to CIA classification policy, and to the classification system as a whole.
By far the most sensitive government document Secrecy News has obtained in recent years is a January 2006 military manual that explains in nearly 200 pages of detail exactly how to use a particular type of weapon that is known to pose a significant terrorist threat.
If there is anything that should be classified in the interests of national security, this manual would seem to be it. Yet it is unclassified. Distribution is “unlimited.”
The conclusion that emerges from the chaos of government information policy is that the classification system is essentially an administrative tool used by the executive branch for its own internal purposes. It is a poor index of what is sensitive and what is not.
AI’s high-stakes outputs directly shape American economic, industrial, and technological outcomes. They must not be accepted entirely on the basis of institutional faith rather than verifiable evidence.
It is difficult to assess from photos whether the Sentinel missile is longer or wider overall than the Minuteman, but the Sentinel clearly has a thicker second stage, which could potentially contribute to the missile’s extended range.
By mandating data centers that are clean, flexible, efficient, and beneficial, Colorado can bring opportunities to communities and enhance its overall infrastructure.
FAS is eager to see implementation of metascience to measure what works, promote novel and effective research programs such as the work of the NSF X-Labs program, and create policy that enables the AI-enabled scientific enterprise to reach its full potential, safely.