Researchers from the U-M Ford School find that law enforcement technology aimed at detecting gunshot sounds and notifying the police in close to real-time raises serious concerns about accuracy, effectiveness, cost, and systemic bias. The policy brief, written by Jillian Mammino, a second-year Master of Public Policy student, analyzes ShotSpotter, the most prevalent company employing acoustic gun detection systems. Mammino explores her research and highlights some of the problems with the technology, including reduced police/citizen collaboration and systemic bias.
