Polizia Predittiva - La sperimentazione ufficiale in Italia

This publication documents the first official experimentation of predictive policing in Italy, conducted by Elia Lombardo using the XLAW® system. The work presents a comprehensive analysis of a methodology that combines Artificial Intelligence and human intelligence to anticipate and prevent predatory crimes in urban environments. The study focuses on real-world implementation, highlighting data collection, the XLAW® predictive algorithms, and operational procedures that allow law enforcement to act proactively rather than reactively.

The book details the limitations of traditional crime prevention models, the design and deployment of predictive tools, and the outcomes of extensive field experimentation in Italian cities. It provides insight into how quality data, continuous monitoring, and predictive logic can enhance public safety, improve citizens’ perception of security, and optimize the deployment of police resources.

Intended for researchers, practitioners, and policymakers in law enforcement and urban security, this work contributes to the growing body of knowledge on the application of AI in public safety and offers a model for responsible, transparent, and effective predictive policing.