Law Commons^™

Biometric Cyberintelligence And The Posse Comitatus Act, Margaret Hu

Scholarly Articles

This Article addresses the rapid growth of what the military and the intelligence community refer to as “biometric-enabled intelligence.” This newly emerging intelligence tool is reliant upon biometric databases—for example, digitalized storage of scanned fingerprints and irises, digital photographs for facial recognition technology, and DNA. This Article introduces the term “biometric cyberintelligence” to more accurately describe the manner in which this new tool is dependent upon cybersurveillance and big data’s massintegrative systems.

This Article argues that the Posse Comitatus Act of 1878, designed to limit the deployment of federal military resources in the service of domestic policies, will be difficult …

Student Surveillance, Racial Inequalities, And Implicit Racial Bias, Jason P. Nance

UF Law Faculty Publications

In the wake of high-profile incidents of school violence, school officials have increased their reliance on a host of surveillance measures to maintain order and control in their schools. Paradoxically, such practices can foster hostile environments that may lead to even more disorder and dysfunction. These practices may also contribute to the so-called “school-to-prison pipeline” by pushing more students out of school and into the juvenile justice system. However, not all students experience the same level of surveillance. This Article presents data on school surveillance practices, including an original empirical analysis of restricted data recently released by the U.S. Department …

Policing Predictive Policing, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

Predictive policing is sweeping the nation, promising the holy grail of policing – preventing crime before it happens. Police have embraced predictive analytics and data-driven metrics to improve law enforcement tactics, practice, and strategy. Predictive “hot spots” become targets for intensive police surveillance. Targeted “hot people” become suspects. In big cities and small towns, data-based predictions drive police patrol schedules. Risk assessment algorithms target suspicious individuals. Increased data collection fuels a growing feedback loop requiring more robust data crunching systems.All of these predictive innovations share one thing in common: a belief that crime can be understood by identifying and analyzing …