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Ukraine War: AI-Enhanced Drones Multiply on Both Sides of the Front

The Ukrainian military is already conducting daily missions with drones incorporating AI modules, while Russia is rapidly developing equipment capable of striking targets with complete autonomy.

· 2 min read · language: en
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Le Monde — Une

On the Ukrainian front, the use of drones equipped with artificial intelligence has become a daily practice for the Ukrainian military. These aircraft are fitted with modules capable of recognizing and reaching their targets, reducing dependence on continuous radio communication with a human operator.

This type of technology responds in particular to the widespread use of electronic jamming on the battlefield, which makes traditional remote-controlled drone operations increasingly difficult. By allowing the aircraft to complete its mission even if communication with the operator is cut off, embedded artificial intelligence provides a direct answer to this countermeasure.

Equally rapid developments on the Russian side

In response to this evolution, Russian forces are also investing heavily in this field. Developments there are described as rapid and large-scale, with the goal of equipping medium-range drones with capabilities allowing them to conduct missions in complete autonomy, without direct human intervention during the final approach phase.

This technological arms race between the two sides illustrates the growing role of artificial intelligence in conducting the war in Ukraine, more than three and a half years after the conflict began. It also raises questions, regularly voiced by experts and international organizations, about the degree of autonomy that should be granted to weapons systems capable of identifying and engaging a target without constant human oversight.

Neither the Ukrainian military nor Russian authorities have publicly detailed the exact scale of these deployments, which remain largely documented through field accounts and analysis.

Sources

EGazette summarizes reporting from multiple sources; follow the links for the originals.

Also available in: ARFR

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