Aktuelle Fragen der Kriminalprävention in Südkorea
Dr. Joongwook Park
Korean Institute of Criminology and Justice (KICJ)
Dr. Jee-Young Yun
Korean Institute of Criminology and Justice (KICJ)
Crime Prevention using Advanced AI Technology
Artificial intelligence(AI), increasingly applied in digital crimes such as deepfakes, phishing, and hacking, has lowered the technical barriers to entry and accelerated both the sophistication and popularization of criminal activity. In particular, the proliferation of generative AI has created an environment where individuals can easily produce highly realistic false information, and it has emerged as a significant threat with the potential to cause widespread social disruption. At the same time, AI is garnering attention as an effective tool for crime prevention and response. Technologies such as deepfake detection, forgery identification, and predictive policing systems have already been introduced into real-world investigative contexts and have demonstrated tangible results. The Korean National Police Agency, for example, is actively establishing AI-based detection and response systems. More recently, AI has evolved into what is known as physical AI, which operates tangible devices such as autonomous vehicles and robots, thereby expanding the scope of crime response technologies from virtual environments into physical space. While these developments offer the potential to greatly enhance public safety capabilities, they also raise new legal and ethical concerns, including the normalization of surveillance, potential infringements on civil liberties, and limitations in technological control. This presentation aims to examine the shifting patterns of crime driven by such technological advancements and explore how advanced AI technology can meaningfully contribute to crime prevention from a criminal justice policy perspective.
Crime Prevention through the Expansion of the Electronic Monitoring System
Since introducing the electronic monitoring system in 2008, Korea has progressively expanded its application to high-risk offenders convicted of sexual offenses, murder, robbery, and stalking. Notably, since 2020, electronic monitoring has been extended to all parolees, regardless of crime type, and can also be imposed as a condition for granting bail. Currently, the effectiveness of electronic monitoring in reducing recidivism rates has been empirically validated, reinforcing its legitimacy as a criminal policy measure. Recently, further advancements have been made, including extending the system to stalking offenders and establishing a legal foundation for research and development initiatives. Nevertheless, concerns related to potential human rights violations, proportionality issues, and dependence on technological reliability remain. Addressing these challenges will be essential to ensure the sustainable implementation of electronic monitoring.
Artificial intelligence(AI), increasingly applied in digital crimes such as deepfakes, phishing, and hacking, has lowered the technical barriers to entry and accelerated both the sophistication and popularization of criminal activity. In particular, the proliferation of generative AI has created an environment where individuals can easily produce highly realistic false information, and it has emerged as a significant threat with the potential to cause widespread social disruption. At the same time, AI is garnering attention as an effective tool for crime prevention and response. Technologies such as deepfake detection, forgery identification, and predictive policing systems have already been introduced into real-world investigative contexts and have demonstrated tangible results. The Korean National Police Agency, for example, is actively establishing AI-based detection and response systems. More recently, AI has evolved into what is known as physical AI, which operates tangible devices such as autonomous vehicles and robots, thereby expanding the scope of crime response technologies from virtual environments into physical space. While these developments offer the potential to greatly enhance public safety capabilities, they also raise new legal and ethical concerns, including the normalization of surveillance, potential infringements on civil liberties, and limitations in technological control. This presentation aims to examine the shifting patterns of crime driven by such technological advancements and explore how advanced AI technology can meaningfully contribute to crime prevention from a criminal justice policy perspective.
Crime Prevention through the Expansion of the Electronic Monitoring System
Since introducing the electronic monitoring system in 2008, Korea has progressively expanded its application to high-risk offenders convicted of sexual offenses, murder, robbery, and stalking. Notably, since 2020, electronic monitoring has been extended to all parolees, regardless of crime type, and can also be imposed as a condition for granting bail. Currently, the effectiveness of electronic monitoring in reducing recidivism rates has been empirically validated, reinforcing its legitimacy as a criminal policy measure. Recently, further advancements have been made, including extending the system to stalking offenders and establishing a legal foundation for research and development initiatives. Nevertheless, concerns related to potential human rights violations, proportionality issues, and dependence on technological reliability remain. Addressing these challenges will be essential to ensure the sustainable implementation of electronic monitoring.
| PPT Crime Prevention through the Expansion of the Electronic Monitoring System in South Korea (English, PDF) |