{"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/69a06155258b5b0a206806cc?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"AI Insight — Episode 14: How AI Identifies Patterns in Serial Offenders","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/691c9f447b9e972a6b1a50cd/1772117945732-45f02d73-f229-4598-bdb6-7a71b7473ec9.jpeg?height=200","description":"<p>This is AI Insight — the analytical companion series to Crimecase By AI.</p><p>How does artificial intelligence detect patterns in serial crime?</p><p>This episode examines how machine learning models measure structural similarity across offenses — through clustering, geographic profiling, escalation modeling, and cross-jurisdiction linkage analysis.</p><p>AI does not interpret motive.</p><p> It calculates probability.</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"}