{
  "@context": "https://schema.org",
  "@type": "article",
  "@id": "https://anchorfact.org/kb/ai-predictive-policing",
  "headline": "AI for Predictive Policing: Crime Forecasting, Resource Allocation, and Bias Mitigation",
  "description": "AI predictive policing forecasts where crimes might occur -- but has become one of AI's most controversial applications. The feedback loop problem (AI sends police to areas -> arrests increase -> AI predicts more crime there) and racial bias concerns have led many cities to abandon predictive policing. The emerging approach: AI as decision support, not decision replacement.",
  "dateCreated": "2026-05-24T02:49:13.562Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "Machine Learning for Predictive Policing: Crime Forecasting, Spatio-Temporal Models, and the Feedback Loop Problem (2024-2025 Survey)",
      "sameAs": "https://arxiv.org/search/?query=predictive+policing+machine+learning+fairness"
    },
    {
      "@type": "CreativeWork",
      "name": "Algorithmic Bias in Criminal Justice: Predictive Policing, Pretrial Risk Assessment, and the Perpetuation of Racial Disparities",
      "sameAs": "https://arxiv.org/search/?query=algorithmic+bias+predictive+policing"
    }
  ]
}