CRIMINOLOGICAL ALARM SYSTEM (REAL-TIME ALERTS): A MODEL FOR EARLY DETECTION AND PREVENTION OF CRIME RISKS BASED ON ARTIFICIAL INTELLIGENCE
Keywords:
criminological forecasting, real-time alerts, artificial intelligence, crime risk, factor register, prevention, law enforcementAbstract
This scientific article develops the concept of a “Criminological Signal System (Real-Time Alerts)” that predicts the risk of crime and automatically sends signals to law enforcement agencies based on real-time monitoring of criminogenic factors such as an increase in the share of previously convicted persons in the regions, an increase in the unemployment rate, a sharp increase in the number of family conflicts and appeals. The study scientifically substantiates the integration of criminological factors, statistical analysis and institutional mechanisms.
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