CIA analysts studied data on major floods due to rainfall in North Korea since 1996 in order to devise a framework for evaluating the significance of such floods and their likely consequences for North Korean agriculture.
The analysts identified four principal variables: the intensity of the rainfall, the location of the rainfall, the time of year, and damage to non-agricultural infrastructure.
“Rainfall intensity and geography of flooding appear to be key variables with the most impact,” their report (pdf) said. “Critical periods in the agricultural growth cycle — for sowing, growing, and harvesting — and the scope and severity of infrastructure damage are compounding variables that can magnify the impact of major floods in key food producing areas.”
All four elements were present in 1996 and 2007, when flooding produced the most severe agricultural impact. But using the methodology described, analysts judge that the cumulative impact of two instances of heavy rain in 2010 “has been relatively low.”
A copy of the CIA report was obtained by Secrecy News. See “North Korea: Assessing the Impact of Flooding on Agricultural Output,” CIA Open Source Works, December 15, 2010.
By preparing credible, bipartisan options now, before the bill becomes law, we can give the Administration a plan that is ready to implement rather than another study that gathers dust.
Even as companies and countries race to adopt AI, the U.S. lacks the capacity to fully characterize the behavior and risks of AI systems and ensure leadership across the AI stack. This gap has direct consequences for Commerce’s core missions.
The last remaining agreement limiting U.S. and Russian nuclear weapons has now expired. For the first time since 1972, there is no treaty-bound cap on strategic nuclear weapons.
As states take up AI regulation, they must prioritize transparency and build technical capacity to ensure effective governance and build public trust.