Abstract

In recent years, artificial intelligence technology, which enables new technologies to be deployed, has expanded the scope and methods of data collection and utilization of government agencies. Data analysis and AI technology are deployed to enhance the intelligent and accurate use of Closed-circuit television (CCTV) surveillance cameras for crime prevention, security, and public safety purposes. The use of facial recognition technology enables an individual to be identified by processing images captured on CCTV, the suspects to be tracked on the CCTV footage, and crime scenes to be monitored in real time. Amidst this expansion, there is an increasing need for discussions to protect privacy. The need for privacy control is emphasized as data collection, retention, and utilization capabilities resulting in losing control over individual’s own information. The value and importance of personal data have been changed from the previous, and government surveillance issues arises as vast quantities of personal data being stored and easily shared. The need for government data access for various purposes and storage of data on a large scale may lead to the privacy right and the infringement of informational self-determination. In a situation where the use of CCTV information is allowed and gradually expanding, it is difficult to evaluate that legal grounds for controlling the actions of government agencies or guaranteeing the rights of individual subjects are sufficient. This paper aims to examine the current status of data collection by government institutions, especially the institutional basis for the use of CCTV and video information collection by government agencies, and problems with the system regarding personal data protection.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.