Law Commons^™

Leveraging Predictive Policing Algorithms To Restore Fourth Amendment Protections In High-Crime Areas In A Post-Wardlow World, Kelly K. Koss

Chicago-Kent Law Review

Rapid technological changes have led to an explosion in Big Data collection and analysis through complex computerized algorithms. Law enforcement has not been immune to these technological developments. Many local police departments are now using highly advanced predictive policing technologies to predict when and where crime will occur in their communities, and to allocate crime-fighting resources based on these predictions.

Although predictive policing technology has an array of the potential uses, the scope of this Note is limited to addressing how the statistical outputs from these technologies can be used to restore eroded Fourth Amendment rights in alleged high-crime areas. …

Big Data And Predictive Reasonable Suspicion, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

The Fourth Amendment requires “reasonable suspicion” to seize a suspect. As a general matter, the suspicion derives from information a police officer observes or knows. It is individualized to a particular person at a particular place. Most reasonable suspicion cases involve police confronting unknown suspects engaged in observable suspicious activities. Essentially, the reasonable suspicion doctrine is based on “small data” – discrete facts involving limited information and little knowledge about the suspect.But what if this small data is replaced by “big data”? What if police can “know” about the suspect through new networked information sources? Or, what if predictive analytics …