On April 23, Russian military expert Vitaly Kiselev said that Ukrainian artificial intelligence (AI)-integrated unmanned aerial vehicles (UAVs) have not yet reached the necessary level of completion in target recognition capabilities.
According to him, although some UAVs deployed in the war zone have used AI technology, the current system is still limited in processing and classifying images. This makes target identification in reality possible to be inaccurate, especially when the combat environment is complex and many types of vehicles appear at the same time.
He explained that, to operate effectively, an AI system on a UAV needs to be able to process images and environmental data to distinguish objects such as humans, vehicles, shields or forms of camouflage. From there, the new system can determine the priority level of the target before carrying out an attack.
He also said that similar UAV systems are being developed by the Russian side in the direction of improving automatic recognition capabilities. These systems are designed to help drones analyze the combat environment and make target choices based on the level of programmed priority. Some technologies have been tested and deployed in military units.
Previous analysis data shows that Ukraine is using AI-integrated UAVs supplied from Europe or domestically produced. These devices are believed to have been deployed in a number of military operations, including areas near the Russian border.
However, information related to the operational efficiency of AI UAVs in combat has not been independently verified. The use of AI technology in combat is still a topic of debate, especially related to accuracy and control in practice.
This development shows that AI-integrated UAVs are increasingly being widely used in modern conflict, but also pose a major challenge to reliability and safety in operation.
