Applying AI-Driven Predictive Policing: A Machine Learning Approach to Crime Prediction and Prevention

Recent academic study explores multiple machine learning models for predictive policing including random forest, support vector machine, and neural networks. Research demonstrates random forest models performed best in predicting crime hotspots and rates, with significant implications for enhanced public safety and resource allocation.

In this domain: Metropolitan Police confirms Palantir AI pilot to flag officer misconduct patterns · UK Police.AI: £115m national AI centre aims to return six million hours to frontline policing · EU AI Act compliance: August 2026 deadline and penalty exposure for high-risk deployers

Original source: ResearchGate / IJECS

Retrieved: 2025-11-04 04:45 | Language: en | Reading time: 8 min