It is entirely proper for a court to conduct in camera review of documents and testimony that the government asserts are subject to the state secrets privilege, said the plaintiffs in a lawsuit challenging the constitutionality of the “no fly” list.
The Justice Department had argued that judicial review of privileged documents was “inappropriate” and asked Judge Anthony J. Trenga of the Eastern District of Virginia to reconsider his order requiring such review. (Gov’t Resists Court Review of State Secrets, Secrecy News, August 27.)
But “the state secrets privilege… was never intended to provide the federal government with a blank check to usurp the rights of Americans in novel and profound ways,” countered Gadeir Abbas, attorney for Gulet Mohamed, who is challenging the “no fly” procedure.
“This Court’s August 6th Order [requiring in camera review of the contested documents] is an appropriate exercise of its authority to subject the federal government’s limiting-principle-free assertion of the state secrets privilege to some scrutiny,” Mr. Abbas wrote in his September 5 response.
A ruling from the Court is pending.
Whether the government’s argument prevails or not, Mr. Abbas noted that the 2013 Watchlisting Guidance which the government sought to withhold has been published online by The Intercept.
Attorney General Holder “had asserted the state secrets privilege over this document, but because it is now publicly available, the Court can consider it in its entirety,” he wrote.
Americans are paying too much for almost everything, because the United States has long treated its trucking industry as an artifact to be preserved rather than as an opportunity for innovation.
These ideas aim to advance the detailed policy solutions needed to foster public trust and implement fairness in the adoption of AI across diverse domains, from healthcare and government benefits to rural access, education, and worker protections.
The evidence is clear: algorithmic pay-setting is established in app-based work, and payroll/timekeeping failures show how software can produce systemic wage harm at scale
While a few states have taken steps to implement decision-making mechanisms for certain AI systems, too many leaders are simply accepting narratives about AI’s purported public benefit at face value – jumping to the “how” of AI implementation before thoroughly vetting potential systems and deciding whether they are appropriate to use at all.