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Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are altering the landscape of public safety and security by offering advanced solutions for crime prediction, disaster management, surveillance, cyber security, and law enforcement. These technologies leverage large datasets, powerful algorithms, and real-time analytics to predict potential threats, enhance decision making, and optimize resource allocation. As the world becomes increasingly interconnected, the integration of AI and ML into public safety systems has become essential for preventing crimes, responding efficiently to emergencies, and ensuring the overall well-being of society. One of the significant solicitations of AI and ML in public safety is crime prediction and prevention. Predictive policing systems use historical crime data, socio-economic factors, and environmental variables to identify high risk areas and forecast criminal activities. Machine learning algorithms can notice patterns and anomalies in huge datasets that may go unnoticed by human analysts. For instance, AI-driven analysis of surveillance footage can help identify suspicious behaviors, enabling law enforcement agencies to respond proactively. Moreover, natural language techniques can processing (NLP) monitor social media platforms for potential threats, helping authorities prevent incidents before they occur.