The Era of Smart Policing Begins: Busan Metropolitan Police Agency Launches AI Work Training

From Automating Reports to Predicting Crime

"Reducing Administrative Work, Enhancing Response Capabilities"

The Busan Metropolitan Police Agency is introducing AI-powered work training to respond to changes in the public safety environment. This initiative aims to reduce the burden of administrative work and enhance on-site response capabilities.

On May 6, the Busan Metropolitan Police Agency conducted training for police officers under the theme "The Era of Smart Policing with AI Agents and Vibe Coding." The session focused on applying generative AI and data-driven technologies to actual police work.

The lecture was led by Noh Chulwoo, advisory professor from the Busan Science and Technology Advisory Group. With over 30 years of research experience in AI and digital transformation, Professor Noh presented practical applications centered on use cases relevant to police work.

The Busan Science and Technology Advisory Group is conducting AI training for the police.

The training covered topics such as automating report writing, improving the efficiency of case law and statute searches, crime prediction systems, and AI ethics standards. It was also introduced that using AI can reduce report writing time by up to 50%. The aim is to create conditions that allow police officers to focus on field response by minimizing repetitive administrative work.

Overseas examples were also shared. The session explained the trend of data-driven preventive policing through the United States' crime prediction systems and the United Kingdom's recidivism risk analysis models. The use of intelligent CCTV and data analysis to detect early signs of crime was also highlighted as a key topic.

Professor Noh emphasized, "AI is not a technology that replaces police officers, but a tool to support their work," adding that "the final judgment and responsibility remain with the police officers."

The training also stressed the importance of personal data protection and security. Practical guidelines were provided, including the principle of not entering suspect information or investigative secrets into AI systems and the necessity of verifying AI-generated results.

This content was produced with the assistance of AI translation services.