Assuming Control
The U.S. Air Force let an artificial intelligence take over the navigation and sensor systems of a Lockheed U-2 spy jet during a training flight on Tuesday, according to the Washington Post.
The flight marks the first known time an AI has to been used to control a US military aircraft.
“This is the first time this has ever happened,” assistant Air Force Secretary Will Roper told the newspaper.
Scanning Radar
The AI took care of some highly specific tasks and was never in control of actually flying the plane — or, notably, any weapon systems.
It was tasked with using the plane’s radar sensors to look for oncoming missiles and missile launchers. Throughout the flight, the algorithm had full control to direct the sensors.
The system was intentionally designed without a manual override to “provoke thought and learning in the test environment,” as Air Force spokesman Josh Bendetti told the Post.
Shock Doctrine
The algorithm used publicly available algorithms developed by AI company DeepMind. It also used Kubernetes, a Google-owned software, to allow the AI software to work with the plane’s onboard computer systems.
The goal was to warm the military to the idea of working with AIs.
“This is really meant to shock the Air Force and the [Defense] Department as a whole into how seriously we need to treat AI teaming,” Roper told the Post.
READ MORE: In a first, Air Force uses AI on military jet [The Washington Post]
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