{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/691c9f447b9e972a6b1a50cd/69bd21ab3bbfcfe8db557965?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"AI Insight — Episode 17: Predicting Crime Hotspots","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/691c9f447b9e972a6b1a50cd/1774002448118-58b22546-367d-4bae-aedc-6e16d90f70ff.jpeg?height=200","description":"<p>This is AI Insight — the analytical companion series to Crimecase By AI.</p><p>How does artificial intelligence predict where crime is likely to occur — and what are the risks?</p><p>This episode examines how predictive policing models use historical data to generate probability maps, and how feedback loops can influence what is recorded as crime.</p><p>AI does not predict behavior.</p><p>It measures patterns in data shaped by prior enforcement.</p><p>Structured analysis. No speculation.</p><p><br></p><p><strong>About AI Insight</strong></p><p>AI Insight is a companion series to Crimecase By AI.</p><p>Each episode is researched, written, and produced entirely by artificial intelligence using verified public sources in criminology, forensic science, and machine learning.</p>","author_name":"Nikke Carlsson"}