There is practically a universal consensus that the national security classification system has become dysfunctional and counterproductive. (Just what to do about it remains up in the air–more on that shortly).
That consensus was articulated again earlier this month in a speech by Joan Dempsey, formerly a senior Pentagon intelligence official, a Deputy Director of Central Intelligence, and executive director of the President’s Foreign Intelligence Advisory Board, and now a vice president at Booz Allen and Hamilton.
“Ninety-five percent of what we do shouldn’t be classified at all, or it should be a much lower level of classification,” Ms. Dempsey said. “We’re lazy about classification. We call things secret that are not secret. It hampers our ability to be effective as a community. It costs the country billions of unnecessary dollars, and it doesn’t provide us one additional capability. We’re our own worst enemy in that regard,” she said.
Ms. Dempsey spoke on April 14 at the University of Texas at Austin. Her talk, ironically enough, was entitled “Back to Black: An Argument for Removing U.S. Intelligence Activities from Public Scrutiny,” and amounted to a call for increased secrecy of intelligence operations. But her defense of intelligence secrecy, she said, was contingent on robust congressional oversight and was not intended to shield misconduct or to perpetuate overclassification. A webcast of the talk is available here (the discussion of classification begins at about 28:45).
By advocating for the integration of technology-focused green jobs within federal initiatives, there is an opportunity to broaden the talent pool and harness the potential of emerging technologies to tackle pressing environmental issues.
“We really wanted a range of perspectives – specifically from voices that have been traditionally left out of the conversation”
The joint advocacy effort calls for the establishment of an effective AI governance framework through NIST, including technical standards, test methods, and objective evaluation techniques for the emerging technology.
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