First-Line Supervisors of Police and Detectives

Some routine tasks of police supervisors use new AI helpers. For example, software can automatically transcribe bodycam video and audio into written reports. This means officers spend less time on paperwork and more on the streets ^[1].

AI tools also analyze past patrol data to suggest better shift schedules and resource plans. Studies note that “generative AI analyzes historical staffing patterns… to recommend optimal… scheduling” ^[1]. These tools could reduce overtime and make staffing fairer.

In training, departments are beginning to use online AI-powered modules to teach new laws and procedures; e-learning platforms (like the Basel Institute’s LEARN) can reach many officers at once ^[2].

AI in policing grows slowly and carefully. Some tools (like transcription and data analysis) are already on the market, which can cut down paperwork and improve coverage ^{[1] [1]}. But new systems cost money and training, and budgets are tight.

Leaders balance these costs against long-term savings – for example, saving hours of report-writing might free up time for community patrols. Public trust is very important. Many communities demand clear rules for AI use (to avoid bias or “surveillance”), so departments move forward only with human oversight ^[1].