Colonel (ret.) Professor George-Marius ȚICAL, Ph.D*
Abstract: In the era of accelerated digitalization, the use of artificial intelligence (AI) and big data analysis has become a necessity in crime prevention and combat. This paper explores how AI is used for analyzing operational data, identifying crime patterns, and optimizing law enforcement strategies. In an interconnected world where data volume is growing exponentially, traditional investigative methods are often overwhelmed. Machine learning algorithms, neural networks, and natural language processing enable the rapid analysis of unstructured data, enhancing the ability to predict and prevent crimes.
The article presents AI applications in security, including predictive policing, facial recognition, and combating cybercrime. Case studies highlight AI implementations in the U.S., the EU, and China, demonstrating both efficiency and controversies related to privacy and algorithmic discrimination. However, the use of AI raises significant ethical challenges, such as algorithmic biases and the risk of excessive surveillance.
In conclusion, the future of AI in security depends on balancing innovation and regulation. The development of explainable predictive models, the reduction of biases, and the adoption of clear international regulations are essential. AI can become a crucial ally for law enforcement, but its use must be transparent, responsible, and focused on respecting fundamental citizen rights.
Keywords: Artificial intelligence, Organized crime, Predictive policing, Facial recognition, Cybercrime, AI ethics.
DOI 10.56082/annalsarscimilit.2025.1.36
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* Academy of Romanian Scientists, email: ticalgeorgem@gmail.com
PUBLISHED in Annals Academy of Romanian Scientists Series on Military Sciences, Volume 17 no 1, 2025
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