https://msucerl.org/cmse101/tags/predictive-policing/Recent content in Predictive-Policing on AI and Society CourseHugoen-usThu, 21 May 2026 00:00:00 +0000https://msucerl.org/cmse101/use-cases/3-1-predictive-policing/Thu, 21 May 2026 00:00:00 +0000https://msucerl.org/cmse101/use-cases/3-1-predictive-policing/<h1 id="predictive-policing--spatial-temporal-risk-loops">Predictive Policing &amp; Spatial-Temporal Risk Loops</h1> <h2 id="context--systems-architecture">Context &amp; Systems Architecture</h2> <p>PredPol (later rebranded Geolitica) represents one of the most widely deployed predictive policing applications in the United States, integrated into major metropolitan departments including the LAPD and Chicago PD between 2011 and 2020. Marketed as an objective tool capable of identifying where crimes would occur before they happen, the software promised to optimize municipal resource allocation. However, the system&rsquo;s foundational architecture obscured a fundamental operational reality: the algorithm does not map actual criminal occurrences, but rather the historical deployment patterns of the law enforcement agency itself.</p>