The CTO for US Central Command says ML algorithms developed under Project Maven helped narrow down targets for 85+ air strikes in the Middle East on February 2
But she said AI is not ready to propose the best order of attack or the best weapon to use, after exercises last year showed an AI recommendation engine “frequently fell short”.
Humans constantly check the AI targeting recommendations, she said. US operators take seriously their responsibilities and the risk that AI could make mistakes, she said, and “it tends to be pretty obvious when something is off.”
Moore said AI systems have also helped identify rocket launchers in Yemen and surface vessels in the Red Sea, several of which Centcom said it has destroyed in multiple weapons strikes during February.
“We've been using computer vision to identify where there might be threats,” Centcom CTO Sky Moore told me. “We've certainly had more opportunities to target in the last 60 to 90 days,” she said, adding US is looking for “an awful lot” of rocket launchers from hostile forces.