Even a speck of dust on a sensor might, in a particular light, mislead an algorithm into classifying a civilian object as a military one, says Arthur Holland Michel, the report’s author. Dust, smoke and vibration can obscure or damage the cameras, radars and other sensors that capture data in the first place. “Conflict environments are harsh, dynamic and adversarial,” says UNIDIR. On the battlefield, that problem is multiplied. Consider the difference between radiology, in which algorithms outperform human beings in analysing X-ray images, and self-driving cars, which still struggle to make sense of a cacophonous stream of disparate inputs from the outside world. But in many circumstances data are incomplete, ambiguous or overwhelming.
When these data are good-plentiful, reliable and similar to the data on which the system’s algorithm was trained- AI can excel. A new report by the United Nations Institute for Disarmament Research ( UNIDIR), a think-tank, explains why that will be far harder than knocking rockets out of the sky.Īutonomous systems rely on artificial intelligence ( AI), which in turn relies on data collected from those systems’ surroundings. But one day similar latitude might be given to offensive weapons which fire at human enemies on the ground, in more crowded places. Iron Dome is a defensive system that attacks physical objects (the incoming rockets) in an aerial battle-theatre devoid of immediate civilian bystanders, albeit that falling debris could injure or kill someone.
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