Police Public Interaction

Research on police-public interaction focuses on improving communication and accountability through technological advancements and data analysis. Current efforts utilize machine learning models, including large language models and deep neural networks, to analyze diverse data sources such as police radio transmissions, body-worn camera footage, and social media, aiming to enhance communication effectiveness, identify biases, and improve transparency. These analyses seek to understand and address issues like racial disparities in policing, privacy concerns related to data collection, and the impact of AI-driven tools on law enforcement practices. The ultimate goal is to develop more effective and equitable policing strategies informed by data-driven insights.