Artificial intelligence systems continue to be deployed in countless economic and social sectors. As their development continues, specialists, activists and even politicians discuss the scope and ethical challenges that these technologies pose. Now a further step has been taken. A United Nations report on the Libyan war warns of what may have been the first intervention by an autonomous and unsupervised drone against human beings. The incident took place in March last year. It would be a drone from the manufacturer STM called Kargu-2 , according to the United Nations report itself, which even managed to photograph the remains of the device. A video on the manufacturer 's website details the destructive potential of the device: without the need for a supervisor or a soldier in command, the device is launched against its targets and explodes.
Screenshot of the UN report on the autonomous drone that attacked soldiers in Libya. Screenshot of the UN report on the autonomous drone that attacked soldiers in Libya.AND These drones intervened at a time when several convoys were withdrawing after being hit by several rockets against armored cars. "The retreating forces were subsequently pursued and attacked from a distance by unmanned combat aerial vehicles or lethal autonomous weapons systems such as the STM Kargu-2." "Autonomous weapons systems Indonesia Phone Number List were programmed to attack targets without requiring data connectivity between the operator and the device. It was, in effect, a system with the ability to fire, forget and find ." The English expression that can be translated as "fire and forget" refers to a method of missile guidance. During the attack, in addition, the targets of these drones saw how their electronic devices and their own unmanned vehicles were neutralized by a jamming system.
CNET has been one of the first media to echo this milestone, and in this article it includes statements from the manufacturer of the Kargu-2 drone, STM, which explains how the device is capable of "being used effectively against static or moving targets." thanks to its ability to process images in real time and its machine learning systems. The same medium recalls that the UN already tried to veto autonomous armed drones, but Russia and the US blocked the attempt, as detailed in this Politico piece . The Human Rights Observatory, an NGO, has been campaigning against these tools since 2013. And a professor and machine learning researcher at MIT, Max Tegman, summed up this milestone in a tweet .
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