AI-Driven Crime Prevention Strategies: Integrating Big Data Analytics and Predictive Analytics

Abstract

In recent years, advancements in Artificial Intelligence (AI) have transformed various sectors, including law enforcement and crime prevention. This paper explores the integration of Big Data Analytics and Predictive Analytics within AI frameworks for crime prevention strategies. It examines the potential of AI-driven approaches in enhancing proactive measures, optimizing resource allocation, and improving overall public safety. By analyzing current research and case studies, this paper provides insights into the effectiveness, challenges, and ethical considerations associated with AI-driven crime prevention strategies.