At a Senate Armed Services Committee hearing yesterday on foreign cyber threats to the U.S., there were several references to the saying that “people who live in glass houses should not throw stones.” The point, made by DNI James Clapper, was that the U.S. should not be too quick to penalize the very espionage practices that U.S. intelligence agencies rely upon, including clandestine collection of information from foreign computer networks.
But perhaps a more pertinent saying would be “It takes a thief to catch a thief.”
U.S. intelligence agencies should be well-equipped to recognize Russian cyber threats and political intervention since they have been tasked for decades to carry out comparable efforts.
A newly disclosed intelligence directive from 1999 addresses “information operations” (IO), which are defined as: “Actions taken to affect adversary information and information systems while defending one’s own information and information systems.”
“Although still evolving, the fundamental concept of IO is to integrate different activities to affect [adversary] decision making processes, information systems, and supporting information infrastructures to achieve specific objectives.”
The elements of information operations may include computer network attack, computer network exploitation, and covert action.
See Director of Central Intelligence Directive 7/3, Information Operations and Intelligence Community Related Activities, effective 01 July 1999.
The directive was declassified (in part) on December 2 by the Interagency Security Classification Appeals Panel, and was first obtained and published by GovernmentAttic.org.
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.
Procurement is not merely an administrative function—it is how AI enters government and the first line of defense for responsible AI in the public sector.
Responsible AI starts with who is in the data, who is at the table, whose needs shape the outcome, and who is responsible when it falls short.
There is no question this is a Big Deal. If you are a university or research lab, or aspire to work in one, or are simply an enthusiast of federally-funded research, what’s next will matter.