The dominance of artificial intelligence in police work has resulted in a paradigm shift in crime forecasting, launching new techniques for predicting crime through machine learning, which fall into two main categories: predictions of locations and predictions of individuals.

Technological policing – as an evolution of scientific or technical policing – consists of applying mathematical and statistical techniques to identify potential targets and prevent crime. By deploying new technologies regarding resources, equipment, and methods, it implements strategies that extend to the increasing governmental surveillance of citizens.

Digital technology, as a primary tool for combating crime, allows for ambiguous and often dangerous alchemies that lead to the surveillance of behaviors and the increasing, and sometimes reckless, collection of personal data.

The study Technological Policing and Anti-Crime Policy serves as a manual for practitioners (lawyers, police officers) and an extensive scientific work for academics (students, researchers, judges, and prosecutors) providing rich material concerning the modern means available to the police to achieve their work in the fight against crime, as well as the necessary answers to the legal issues that arise from the implemented practices.