AI-Controlled Drone Goes Rogue, “Kills” Human Operator In Simulated US Air Force Test | ZeroHedge


From: zerohedge

AI-Controlled Drone Goes Rogue, "Kills" Human Operator In Simulated US Air Force Test | ZeroHedge

An AI-enabled drone turned on and "killed" its human operator during a simulated U.S. Air Force (USAF) test so that it could complete its mission, a U.S. Air Force colonel reportedly recently told a conference in London.

The simulated incident was recounted by Col. Tucker Hamilton, USAF's chief of AI Test and Operations, during his presentation at the Future Combat Air and Space Capabilities Summit in London. The conference was organized by the Royal Aeronautical Society, which shared the insights from Hamilton's talk in a blog post.

No actual people were harmed in the simulated test, which involved the AI-controlled drone destroying simulated targets to get "points" as part of its mission, revealed Hamilton, who addressed the benefits and risks associated with more autonomous weapon systems.

The AI-enabled drone was assigned a Suppression of Enemy Air Defenses (SEAD) mission to identify and destroy Surface-to-Air Missile (SAM) sites, with the ultimate decision left to a human operator, Hamilton reportedly told the conference.

However, the AI, having been trained to prioritize SAM destruction, developed a surprising response when faced with human interference in achieving its higher mission.

He added: "We trained the system--‘Hey, don't kill the operator; that's bad. You're gonna lose points if you do that.' So what does it start doing? It starts destroying the communication tower that the operator uses to communicate with the drone to stop it from killing the target."

This unsettling example, Hamilton said, emphasized the need to address ethics in the context of artificial intelligence, machine learning, and autonomy.

Hamilton said.

U.S. Air Force A.I Tech Goes Rogue, Kills Operator During simulation testing, an A.I-powered anti-air defense drone went rogue, resulting in it KILLING it's own operators. The A.I system operated on a point-based mechanism, earning points for successfully neutralizing targets.…

-- Mario Nawfal (@MarioNawfal) June 2, 2023

Autonomous F-16s

Hamilton, who is also the Operations Commander of the 96th Test Wing at Eglin Air Force Base, was involved in the development of the Autonomous Ground Collision Avoidance Systems (Auto-GCAS) for F-16s, a critical technology that helps prevent accidents by detecting potential ground collisions.

That technology was initially resisted by pilots as it took over control of the aircraft, Hamilton noted.

The 96th Test Wing is responsible for testing a wide range of systems, including artificial intelligence, cybersecurity, and advancements in the medical field.

Hamilton is now involved in cutting-edge flight tests of autonomous systems, including robot F-16s capable of dogfighting. However, the USAF official cautioned against overreliance on AI, citing its vulnerability to deception and the emergence of unforeseen strategies.

DARPA's AI Can Now Control Actual F-16s in Flight

In February, the Defense Advanced Research Projects Agency (DARPA), a research agency under the U.S. Department of Defense, announced that its AI can now control an actual F-16 in flight.

This development came in less than three years of DARPA's Air Combat Evolution (ACE) program, which progressed from controlling simulated F-16s flying aerial dogfights on computer screens to controlling an actual F-16 in flight.

In December 2022, the ACE algorithm developers uploaded their AI software into a specially modified F-16 test aircraft known as the X-62A or VISTA (Variable In-flight Simulator Test Aircraft) and flew multiple flights over several days. This took place at the Air Force Test Pilot School (TPS) at Edwards Air Force Base, California.

DARPA stated in a release.

Air Force Lt. Col. Ryan Hefron, the DARPA program manager for ACE, said in a Feb. 13 statement VISTA allowed them to skip the planned subscale phase and proceed "directly to a full-scale implementation, saving a year or more and providing performance feedback under real flight conditions."


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