ARTIFICIAL INTELLIGENCE AND BIG DATA ANALYSIS IN CRIME PREVENTION AND COMBAT
ARTIFICIAL INTELLIGENCE AND BIG DATA ANALYSIS IN CRIME PREVENTION AND COMBAT

Summary/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.

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