After a court issued a ruling last spring that a Yemeni detainee held in U.S. custody should be released, the opinion was briefly published in the case docket and then abruptly withdrawn for classification review. When it reappeared, reporter Dafna Linzer discovered, it was not only redacted but had been significantly altered.
“The alterations are extensive,” she found. “Sentences were rewritten. Footnotes that described disputes and discrepancies in the government’s case were deleted. Even the date and circumstances of [the detainee’s] arrest were changed.”
Yet in what seems like an insult to the integrity of the judicial process, no indication was given that the original opinion had been modified — not just censored — as a consequence of the classification review. ProPublica obtained both versions of the ruling and published a comparison of them, highlighting the missing or altered passages. See “In Gitmo Opinion, Two Versions of Reality” by Dafna Linzer, ProPublica (co-published with The National Law Journal), October 8.
The Federation of American Scientists supports H.R. 4420, the Cool Corridors Act of 2025, which would reauthorize the Healthy Streets program through 2030 and seeks to increase green and other shade infrastructure in high-heat areas.
The current lack of public trust in AI risks inhibiting innovation and adoption of AI systems, meaning new methods will not be discovered and new benefits won’t be felt. A failure to uphold high standards in the technology we deploy will also place our nation at a strategic disadvantage compared to our competitors.
Using the NIST as an example, the Radiation Physics Building (still without the funding to complete its renovation) is crucial to national security and the medical community. If it were to go down (or away), every medical device in the United States that uses radiation would be decertified within 6 months, creating a significant single point of failure that cannot be quickly mitigated.
The federal government can support more proactive, efficient, and cost-effective resiliency planning by certifying predictive models to validate and publicly indicate their quality.