The Central Intelligence Agency has formally rescinded its widely-criticized plan to destroy the email records of all but 22 senior agency officials, the National Archives said last week.
The CIA proposal generated controversy when it became public in 2014 because of its surprisingly narrow scope, which would have precluded preservation of vast swaths of CIA email records. Such records have proved invaluable not only for historical purposes, but also for contemporary accountability and congressional oversight.
“The agency has withdrawn this schedule effective March 21, 2016, due to the agency’s reorganization,” wrote Margaret Hawkins, director of records appraisal and agency assistance at the National Archives and Records Administration, in an email message to the Federation of American Scientists.
“In our last communication on this schedule, it was conveyed that a public meeting would be held to address all comments received. With the schedule’s withdrawal, this meeting will not be held.”
In any case, CIA is still obliged to present a plan to the National Archives to explain how it will preserve or dispose of its email records. CIA can either adopt the standard template known as the Capstone General Records Schedule, or it can devise a specific plan of its own for approval by the National Archives.
“If the agency chooses to submit a new agency-specific records schedule, it will be available for request and comment to the public through the Federal Register process,” Ms. Hawkins wrote.
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FAS and FLI partnered to build a series of convenings and reports across the intersections of artificial intelligence (AI) with biosecurity, cybersecurity, nuclear command and control, military integration, and frontier AI governance. This project brought together leaders across these areas and created a space that was rigorous, transpartisan, and solutions-oriented to approach how we should think about how AI is rapidly changing global risks.
Investment should instead be directed at sectors where American technology and innovation exist but the infrastructure to commercialize them domestically does not—and where the national security case is clear.
AI is already consequential, but its future trajectory remains contested. Policymakers should make their assumptions explicit, focus on what can be shaped rather than what can be perfectly predicted, and build institutions that can learn and respond as evidence changes.