The United States has recently been ridiculed for losing the ongoing information war, and has fallen victim to successive propaganda and disinformation campaigns orchestrated by Russia without a significant response. Given Russia’s aggressive meddling in the 2016 US elections, along with other concerted efforts to delegitimize Western democracies and their institutions, it is imperative for […]
The U.S. Army is concept-based and doctrine-driven. It uses concepts to change the Army for the future, while doctrine establishes frameworks and guidance to run the Army in the present. As the Army’s “architect,” Training and Doctrine Command (TRADOC) is charged with the responsibility to craft both concepts and doctrine. To arrive at the future prepared and ready to dominate the fight, we need a concept to guide convergence and integration of capabilities across air, land, sea, space, cyber, and electro-magnetic spectrum.
When it is not just what you know but what you cannot otherwise rule out — called process of elimination (there is a triple pun there too):
“It is our view not only that the Russian government was running some sort of intelligence operation … but also that it is impossible to rule out the possibility of collusion.”
Dozens of organizations have published similar reports, but at 282 pages, the National Academies of Sciences, Engineering and Medicine’s report is notable for its breadth and depth.
But can AI ever think critically if the question is not fully quantifiable and reducible to a weighted decision tree?
Machine learning is increasingly capable of complex analysis.
Intelligence Advanced Research Projects Activity Director Jason Matheny worries a lot about national security risks that probably aren’t headlining many lists of pressing threats to the United States — pandemics, autonomous systems, and strategic nuclear war, to name a few.