The “existence of the Office of the Director of National Intelligence (ODNI)” is Unclassified. So is “the fact that ODNI Headquarters is located within the Liberty Crossing Compound in the Tyson’s Corner Area of Virginia.”
However, “the names and abbreviations of ODNI locations in the Washington Metropolitan Area, both overt and covert” are classified Secret.
These determinations and many others of interest are compiled in a newly released ODNI Classification Guide, Version 2.1, September 30, 2014. The declassified Classification Guide was released by ODNI with limited redactions in response to a Freedom of Information Act request filed by Stephen Revilak.
“The Guide implements ODNI classification policy and procedures for the use and dissemination of ODNI national security information,” the document states.
It covers a wide range of intelligence policy, technology and operational areas involving ODNI that are potentially subject to classification. (Unfortunately, portions of the document released by ODNI are poorly scanned and several pages are cut off at the bottom. Hopefully, a corrected version will soon follow.) [Now fixed.]
“The absence of an item in the Guide does not imply that it is Unclassified,” the reader is cautioned.
Moreover, “The fact that some ODNI information is marked unclassified does not authorize public release,” the Guide states.
Commercial artificial intelligence tools have recently emerged that are able to produce police reports. If the resulting reports are inaccurate, incomplete or biased, or if the process leaks confidential information, this could undermine the criminal justice system and harm citizens.
Too often, affected patients, clinicians, and regulators cannot see how the system works, why a decision was made, or whether meaningful human oversight occurred.
Existing tools from other domains, such as existing robust public engagement processes in drug development, when applied to AI deployment can help strengthen public trust in these systems and enhance perceptions of their legitimacy and the decisions they produce.
With thoughtful policy action, it is still possible to build systems that are fair, transparent, and accountable, and to earn the public trust that will ultimately determine AI’s future. We hope policymakers are ready to act.