US Used AI to Help Find Middle East Targets for Airstrikes
- Algorithms were developed under the Pentagon’s Project Maven
- AI isn’t ready to recommend the order of attack, official says
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The US used artificial intelligence to identify targets hit by air strikes in the Middle East this month, a defense official said, revealing growing military use of the technology for combat.
Machine learning algorithms that can teach themselves to identify objects helped to narrow down targets for more than 85 US air strikes on Feb. 2, according to Schuyler Moore, chief technology officer for US Central Command, which runs US military operations in the Middle East. The Pentagon said those strikes were conducted by US bombers and fighter aircraft against seven facilities in Iraq and Syria.