FAS

DoD Issues Policy on Conduct at Raven Rock Mountain

05.25.07 | 1 min read | Text by Steven Aftergood

The Department of Defense has issued a new statement of security policy for the Raven Rock Mountain Complex, also known as Site R, which is one of the U.S. government’s emergency command centers and relocation sites.

Although it is located in Pennsylvania, not Virginia, Raven Rock was legally designated in 2003 as part of the Pentagon Reservation, and the new policy reflects that change.

Among other things, the policy dictates that “it shall be unlawful to make any photograph, sketch, picture, drawing, map or graphical representation of the … Raven Rock Mountain Complex without first obtaining the necessary permission.”

The policy was published in the Federal Register on May 25.

publications
See all publications
Clean Energy
Blog
Fixing a Broken Market: A Plan for Cheaper Freight, Cleaner Air, and American Truck Leadership

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.

06.16.26 | 9 min read
read more
Emerging Technology
Report
SOURCE CODE: A Policy Agenda for Fostering Trust and Fairness in AI

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.

06.11.26 | 17 min read
read more
Emerging Technology
day one project
Policy Memo
Move Algorithmic-Driven Pay and Scheduling Systems From Surveillance Pay to Fair Wages

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

06.11.26 | 15 min read
read more
Emerging Technology
day one project
Policy Memo
How State Leaders Can Put People First in AI Decision-Making

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.

06.11.26 | 17 min read
read more