The amount of money appropriated for U.S. intelligence increased in 2016 by about 5 percent to a total of $70.7 billion, up from $66.8 billion the year before.
The total includes FY 2016 appropriations for both the National Intelligence Program (NIP) and the Military Intelligence Program (MIP), which were officially disclosed on October 28, as they have been each year since 2007.
Opponents of intelligence budget disclosure had argued for decades that release of the total budget figures would lead inexorably to further uncontrolled disclosures.
In 1976, former Director of Central Intelligence James Schlesinger told the Church Committee that “One of the problems here is the camel’s nose under the edge of the tent, and I think that that is the fundamental problem in the area. There are very few people who can articulately argue that the publication of those [budget] figures in and of themselves, if it stopped there, would be harmful. The argument is that then the pressure would build up to do something else, that once you have published for example the… budget, that the pressures would build up to reveal the kinds of systems that are being bought for that money, and it is regarded as the first step down a slippery slope for those who worry about those kinds of things.”
But that concern about a “slippery slope” appears to have been refuted in practice, and — aside from unauthorized disclosures — additional budget secrets have been effectively preserved.
We’re asking the U.S. government to release holds on Congressionally-appropriated funding for scientific research, education, and critical activities at the earliest possible time.
It is in the interests of the United States to appropriately protect information that needs to be protected while maintaining our participation in new discoveries to maintain our competitive advantage.
The question is not whether the capital exists (it does!), nor whether energy solutions are available (they are!), but whether we can align energy finance quickly enough to channel the right types of capital where and when it’s needed most.
Our analysis of federal AI governance across administrations shows that divergent compliance procedures and uneven institutional capacity challenge the government’s ability to deploy AI in ways that uphold public trust.