A meeting was held at the Main Command of the National Guard dedicated to the implementation of advanced technologies for identifying psychological issues in the military environment. During the event, developers presented an intelligent adaptive psychological testing system.

Deputy Commander-in-Chief of the National Guard for Educational and Socio-Legal Work, Kairat Umbetov, emphasized that the use of artificial intelligence will make it possible to detect psychological problems within the military environment at early stages.

- Modern technologies open new opportunities in the field of psychology and mental health, allowing us not only to identify early signs of emotional distress in a timely manner, but also to prevent their development. Our goal is to create an effective early warning system that ensures every serviceman can receive timely assistance and support, - said K. Umbetov.

The developer of the intelligent system, Yerğali Mabiev, explained how the proposed digital technology works.

According to him, the hybrid architecture of the system allows for validation of analytical results and generation of relevant recommendations. The system dynamically adjusts the set and difficulty of questions depending on the respondent’s previous answers. Compared to traditional testing methods, the program provides a more accurate and efficient assessment of an individual’s psychological state by eliminating redundant questions and focusing on relevant aspects.

It is important to note that, to ensure data security, the system will be deployed locally on the servers of military units.

As stated by the Main Command, the system will first be piloted on conscripts serving in military units of the capital garrison.

The use of such technologies marks an important step toward ensuring the safety of servicemen and fostering a healthy moral and psychological climate within military units.

Press Service of the National Guard of the Ministry of Internal Affairs of the Republic of Kazakhstan

Source : https://www.gov.kz/memleket/entities/kvv/press/news/details/997159?lang=kk