Last week, on the same day that the 2010 intelligence budget totals were revealed, the Office of the Director of National Intelligence also released another previously undisclosed intelligence budget figure — the 2006 budget appropriation for the National Intelligence Program.
“The aggregate amount appropriated to the NIP for fiscal year 2006 was $40.9 Billion,” wrote John F. Hackett (pdf), director of the ODNI Information Management Office.
This disclosure provides one more benchmark in the steady, sharp escalation of intelligence spending in the last decade. (The NIP budgets in the subsequent years from 2007-2010 were: $43.5 billion, $47.5 billion, $49.8 billion, and $53.1 billion.)
But what makes the new disclosure profoundly interesting and even inspiring is something else: In 2008, Mr. Hackett determined (pdf) that disclosure of this exact same information could not be permitted because to do so would damage national security. And just last year, ODNI emphatically affirmed that view on appeal.
“The size of the National Intelligence Program for Fiscal Year 2006 remains currently and properly classified,” wrote Gen. Ronald L. Burgess in a January 14, 2009 letter (pdf). “In addition, the release of this information would reveal sensitive intelligence sources and methods.”
Yet upon reconsideration a year later, those ominous claims have evaporated. In other words, ODNI has found it possible — when prompted by a suitable stimulus — to rethink its classification policy and to reach a new and opposite judgment.
This capacity for identifying, admitting (at least implicitly) and correcting classification errors is of the utmost importance. Without it, there would be no hope for secrecy reform and no real place for public advocacy. But as long as errors can be acknowledged and corrected, then all kinds of positive changes are possible.
The Obama Administration’s pending Fundamental Classification Guidance Review requires classifying agencies to seek out and eliminate obsolete classification requirements based on “the broadest possible range of perspectives” over the next two years. If it fulfills its original conception, the Review will bring this latent, often dormant error correction capacity to bear on the classification system in a focused and consequential way. There are always going to be classification errors, so there needs to be a robust, effective way to find and fix them.
In anticipation of future known and unknown health security threats, including new pandemics, biothreats, and climate-related health emergencies, our answers need to be much faster, cheaper, and less disruptive to other operations.
To unlock the full potential of artificial intelligence within the Department of Health and Human Services, an AI Corps should be established, embedding specialized AI experts within each of the department’s 10 agencies.
Investing in interventions behind the walls is not just a matter of improving conditions for incarcerated individuals—it is a public safety and economic imperative. By reducing recidivism through education and family contact, we can improve reentry outcomes and save billions in taxpayer dollars.
The U.S. government should establish a public-private National Exposome Project (NEP) to generate benchmark human exposure levels for the ~80,000 chemicals to which Americans are regularly exposed.