Could the National Security Archive be prosecuted under the Espionage Act for publishing historical documents that U.S. intelligence agencies now say are classified?
Could Secretary of State Condoleezza Rice be detained for continuing to publish historical intelligence records on the State Department web site that the CIA has flagged as classified?
Could thousands of historians and librarians around the country be arrested for retaining and circulating volumes of the State Department’s Foreign Relations of the United States (FRUS) series that are now considered to contain classified documents?
These seem to be silly questions.
And yet the theory of the Espionage Act that has been adopted by the government in its prosecution of two former officials of the American Israel Public Affairs Committee (who are not charged with espionage) may extend even to silly cases such as these.
The Espionage Act’s prohibitions on the unauthorized retention and transmission of national defense information apply to “whoever” may violate them, the government insisted in a January 30 motion.
“Whoever means, ‘no matter who’,” the government contended. “The statute covers ‘anyone’.”
Until now, the Espionage Act has never been interpreted this broadly, and for good reason. Using the Act to penalize the public receipt and distribution of government information leads to absurd conclusions.
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.