FAS

Unmanned Aerial Systems in Joint Air Operations

01.26.10 | 1 min read | Text by Steven Aftergood

Unmanned aerial systems (UASs) like the Predator drone, which are increasingly in demand for U.S. military missions in Afghanistan and elsewhere, involve challenges to mission control, according to a new Pentagon publication on joint air operations (pdf).

“Recent operations have demonstrated that UASs can be critical to the success of dynamic targeting missions and prosecution of targets of opportunity (unplanned, unanticipated) or TSTs [time sensitive targets].”

However, “UAS communication links are generally more critical than for manned systems, relying on a nearly continuous stream of communications for both flight control and payload for mission success. Therefore, communications security, and specifically bandwidth protection (from both friendly interference and adversary action), is imperative.”

Furthermore, DoD says, “Our adversaries are developing and acquiring UASs, so it is imperative our C2 [command and control] and DCA [defensive counterair] nodes are able to differentiate between friendly and enemy UAs and cruise missiles.”

See “Command and Control for Joint Air Operations,” Joint Publication 3-30, Joint Chiefs of Staff, January 12, 2010.

“Drones are more glitch-prone than traditional planes,” wrote Noah Shachtman in Wired’s Danger Room on January 25, and a U.S. drone reportedly crashed last weekend in Pakistan.

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