ARTIFICIAL INTELLIGENCE IN ASSESSING THE ABILITY OF ADOLESCENTS TO MAKE CONSTRUCTIVE DECISIONS IN A STRESSFUL SITUATION (ACCORDING TO PROFESSOR M. O. OVCHARENKO)

The study addresses the pressing issue of assessing adolescents’ ability to make constructive decisions in stressful situations. Adolescence is a critical developmental period characterized by an increased risk of addictive behaviors, driven by low resilience and an impaired capacity to effectively cope with stress. The authors present a validated method — the Ovcharenko Constructive Decision-Making Capacity Index (CDMC) — which enables quantitative evaluation of adolescents’ decision-making constructiveness and prediction of susceptibility to maladaptive behavioral patterns. For the first time, artificial intelligence (GPT-4o, GPT-5) is proposed for automated recognition of completed paper questionnaires, calculation of the SPKR index, and provision of recommendations for practicing psychologists. Google Forms and a ranking algorithm in Google Sheets with QR-code access were developed, improving the efficiency of screening and enabling large-scale online surveys. The proposed innovative approach integrates traditional psychometric tools with modern digital technologies and can be incorporated into mental health care systems for early diagnosis and prevention of deviant behavioral patterns among adolescents.