In the 1983 movie WarGames, the world is brought to the edge of nuclear destruction when a military computer using artificial intelligence interprets false data as an indication that a Soviet missile strike is imminent. Its human overseers in the Defense Department, unsure if the data is real or not, can’t convince the AI that it may be wrong. A recent finding from the Defense Intelligence Agency, or DIA, suggests that in a real situation where humans and AI were looking at enemy activity, those positions would be reversed. Artificial intelligence can actually be more cautious about its own conclusions in situations when data is limited than are humans. While the results are preliminary, they offer an important glimpse into how humans and AI will compliment one another in critical national security fields.
DIA analyzes activity from militaries around the globe. Terry Busch, the technical director for the agency’s Machine-Assisted Analytic Rapid-Repository System, or MARS, Monday joined a Defense One viewcast to discuss the agency’s efforts to incorporate AI into analysis and decision-making.
Earlier this year, they set up a test between a human and AI. The first part was simple enough, use available data to determine if a particular ship was in U.S. waters. “Four analysts came up with four methodologies; and the machine came up with two different methodologies and that was cool. They all agreed that this particular ship was in the United States,” he said. So far, so good. Humans and machines using available data can reach similar conclusions.
The second phase of the experiment tested something different: conviction. Would humans and machines be equally certain in their conclusions if less data were available? The experimenters removed the feed from the Automatic Identification System, or AIS, which tracks ..
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