With vast amounts of data becoming available to intelligence analysts, new tools will help them sift and interpret it all—but they will introduce new risks, too.
However, Harding notes that the intelligence community will have to wrestle with the same problems that bedevil deployments of AI elsewhere, such ascaused by poor quality or unrepresentative training data. “It’s basically crap in, crap out,” she says. And because machine learning algorithms often work in opaque ways, Harding says, intelligence operatives will need to find ways to build trust in the conclusions these programs draw.
Gathering and analyzing data using AI could eventually become central to battlefield operations. The US military is investing millions to develop AI software capable of ingesting and analyzing different signals in the field. A US Army program calledproposes creating a ground station capable of ingesting and drawing insights from many different battlefield sensors and data sources.
Such advances could provide critical information more quickly, allowing military decision makers to outfox their foes. But battlefield use of AI may also become a game of cat-and-mouse, experts say, with efforts to deceive or mislead algorithms becoming just as important. “Our philosophy on AI and defense is that whatever algorithm you go into the war with is not going to be the one that you end up with,” Gourley says.
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