The House Government Reform Committee held an extraordinary hearing yesterday on the vulnerabilities of national security whistleblowers who challenge what they see as agency misconduct.
“Breaking bureaucratic ranks to speak unpleasant and unwelcome truths takes courage and risks invoking the wrath of those with the power and motive to shoot the messenger,” said Rep. Christopher Shays (R-CT), who chaired the hearing.
In an unusual move, Chairman Shays gave pride of place to several whistleblowers who testified in the first panel of the hearing, while agency representatives waited to testify in the third panel.
All of the prepared testimony may be found here.
Today, “there are no meaningful protections for [national security] whistleblowers,” wrote former FBI linguist Sibel Edmonds in response to a New York Times op-ed last week by DCIA Porter Goss.
See “Porter Goss’ Op-ed: ‘Ignotum per Ignotius’!” by Sibel Edmonds, February 11.
“Ignotum per ignotius” is a Latin expression referring to an explanation which is harder to understand than that which it is meant to explain.
After months of delay, the council tasked by President Trump to review the FEMA released its final report. Our disaster policy nerds have thoughts.
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.