Digital criminology and artificial intelligence:

new approaches in crime prevention and the greek context.

Abstract

This article explores the influence of Artificial Intelligence (AI) on crime and criminological analysis in the context of the Digital Age. It outlines AI-related crime types and its applications in crime prevention (predictive policing, risk assessment, victim protection, corrections). Special attention is given to Greece's current state, highlighting police modernization efforts, legislative reforms, and the use of advanced technologies in crime scene analysis. Emphasis is placed on the need for interdisciplinary collaboration to enhance the reliability and effectiveness of criminal investigations. The impact of Artificial Intelligence (AI) on crime prevention and analysis is gaining particular significance within the urban context, as cities face complex security challenges. Understanding the urban environment is crucial for developing policies that enhance safety and quality of life in urban areas. In this framework, the integration of AI is increasingly prominent in crime prevention strategies, where planning takes into account the specific characteristics of urban spaces to implement AI tools in key areas such as predictive policing, risk assessment, and victim protection. Greece is gradually aligning with international trends in AI application, developing machine learning tools that contribute to the modernization of crime investigation and analysis methods, such as homicides, based on findings from crime scenes. This tool is presented as a case study in the current commentary.