WASHINGTON: Swamped by too much raw intel data to sift through, US spy agencies are pinning their hopes on artificial intelligence to crunch billions of digital bits and understand events around the world.
Dawn Meyerriecks, the Central Intelligence Agency’s deputy director for technology development, said this week
the CIA currently has 137 different AI projects, many of them with developers in Silicon Valley.
These range from trying to predict significant future events, by finding correlations in data shifts and other evidence, to having computers tag objects or individuals in video that can draw the attention of intelligence analysts.
Officials of other key spy agencies at the Intelligence and National Security Summit in Washington this week, including military intelligence, also said
they were seeking AI-based solutions for turning terabytes of digital data coming in daily into trustworthy intelligence that can be used for policy and battlefield action.
AI has widespread functions, from battlefield weapons to the potential to help quickly rebuild computer systems and programmes brought down by hacking attacks, as one official described.
But a major focus is finding useful patterns in valuable sources like social media.
Combing social media for intelligence in itself is not new, said Joseph Gartin, head of the CIA’s Kent School, which teaches intelligence analysis.
“What is new is the volume and velocity of collecting social media data,” he said.
In that example, artificial intelligence-based computing can pick out key words and names but also find patterns in data and correlations to other events — and continually improve on that pattern finding.
AI can “expand the aperture” of an intelligence operation looking for small bits of information that can prove valuable, according to Chris Hurst, the chief operating officer of Stabilitas, which contracts with the US intelligence community on intel analysis.
“Human behaviour is data and AI is a data model,” he said at the Intelligence Summit.
“Where there are patterns we think AI can do a better job.”
The volume of data that can be collected increases exponentially with advances in satellite and signals intelligence collection technology.
“If we were to attempt to manually exploit the commercial satellite imagery we expect to have over the next 20 years, we would need eight million imagery analysts,” Robert Cardillo, director of the National Geospatial-Intelligence Agency, said in a speech in June.
Cardillo said his goal is to automate 75 per cent of analysts’ tasks, with a hefty reliance on AI operations that can build on what they learn automatically. — AFP
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