From the thesis Abstract: "Artificial Intelligence (AI) systems provide a unique problem for users in the law enforcement domain. On one hand, AI systems provide an opportunity for optimizations and faster workflows, especially in the environment of growing data. On the other hand if left unchecked, AI systems have the potential to negatively affect the community served by law enforcement. This research focuses on three types of AI systems currently used by law enforcement: facial recognition, predictive risk assessments, and predictive policing. By looking at these three types of AI systems, this research attempts to evaluate the effectiveness of the technology while maintaining the privacy, fairness, transparency, and accountability expected by the public. These three case studies show how AI systems can have a negative impact on individuals identified via AI systems and the need for further research into effective measures to regulate the technology. Additionally, the European Union is currently working on potential frameworks for responsible implementation of AI systems, which provide a template for future efforts in the United States."
Naval Postgraduate School, Dudley Knox Library: https://calhoun.nps.edu/