As the US competes to stay ahead, the intelligence community is grappling with the fits and starts of the impending revolution brought on by AI.
, responsible for advancing digital and cyber technologies in human and open-source collection, as well as its covert action and all-source analysis, which integrates all kinds of raw intelligence collected by US spies, whether technical or human. An all-source analyst evaluates the significance or meaning when that intelligence is taken together, memorializing it into finished assessments or reports for national security policymakers.
Meanwhile, at the National Geospatial-Intelligence Agency, AI and machine learning extract data from images that are taken daily from nearly every corner of the world by commercial and government satellites.
Such algorithmic processes can be made to overlap, adding layers of complexity to computational reasoning, but even then those algorithms can’t interpret context as well as humans, especially when it comes to language, like hate speech. “From an analytic perspective, AI has a difficult time interpreting intent,” Curwin adds. “Computer science is a valuable and important field, but it is social computational scientists that are taking the big leaps in enabling machines to interpret, understand, and predict behavior.”
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