“Understanding culture is essential in conducting irregular warfare.”
That is the opening sentence in the introduction to a new U.S. Army publication on Cultural and Situational Understanding.
“Irregular warfare requires a deliberate application of an understanding of culture due to the need to understand a populated operational environment, what specifically is causing instability, the nature of the threat, and the ability to work with host-nation governments and security forces.”
The new Army doctrine on cultural understanding emerges from and builds upon existing Army counterinsurgency doctrine. It is “outward looking” and does not pause to contemplate the cultural foundations of the Army itself. See Cultural and Situational Understanding, Army Techniques Publication (ATP) 3-24.3, April 2015.
Update: For a critical perspective on this document, see The US Army’s Serial Plagiarists by Roberto Gonzalez, Counterpunch, May 1, 2015, and The Quiet Death of ATP 3-24.3 (A Plagiarism Postmortem), May 7, 2015.
After months of delay, the council tasked by President Trump to review the FEMA released its final report. Our disaster policy nerds have thoughts.
FAS and FLI partnered to build a series of convenings and reports across the intersections of artificial intelligence (AI) with biosecurity, cybersecurity, nuclear command and control, military integration, and frontier AI governance. This project brought together leaders across these areas and created a space that was rigorous, transpartisan, and solutions-oriented to approach how we should think about how AI is rapidly changing global risks.
Investment should instead be directed at sectors where American technology and innovation exist but the infrastructure to commercialize them domestically does not—and where the national security case is clear.
AI is already consequential, but its future trajectory remains contested. Policymakers should make their assumptions explicit, focus on what can be shaped rather than what can be perfectly predicted, and build institutions that can learn and respond as evidence changes.