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.
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.