Proposed NSA Headquarters Expansion Under Review
The National Security Agency is proposing to expand and modernize its headquarters site at Fort Meade, Maryland.
“For NSA/CSS to continue leading the Intelligence Community into the next 50 years with state-of-the-art technologies and productivity, its mission elements require new, centralized facilities and infrastructure,” according to a newly released Final Environmental Impact Statement for the site.
Under the proposed action, “The NSA would consolidate mission elements, which would enable grouping services and support services across the NSA Campus based on function; facilitate a more collaborative environment and optimal adjacencies; and provide administrative capacity for up to 13,300 personnel, including 6,100 personnel who currently work on the existing NSA Campus and 7,200 personnel currently located off site.”
The proposal envisions the construction and operation of “approximately 2,880,000 square feet of operational complex and headquarters space consisting of five buildings.” If approved, construction would take place “over a period of approximately 10 years (FY 2019 to 2029).”
See Final Environmental Impact Statement for the East Campus Integration Program, Fort Meade, Maryland, March 2017 (large pdf).
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.