Interior Ministry Accelerates Disaster Safety AX, to Invest KRW 940 Billion by 2030
TECHWORLD ·
✦ AI Summary
The Ministry of the Interior and Safety said on the 27th that it had drawn up the "Pan-Government Disaster Safety AX Comprehensive Plan."
The government will invest about KRW 940 billion in 50 projects by 2030 and promote AI transformation across disaster safety operations.
The ministry will push ahead with structuring and integrating disaster data and piloting AI decision-support services for field response.
The Ministry of the Interior and Safety said on the 27th that it had drawn up the "Pan-Government Disaster Safety AX Comprehensive Plan." The government will fully accelerate a pan-government AI transformation across disaster safety operations and invest about KRW 940 billion in 50 projects by 2030.
The purpose of the comprehensive plan is to respond proactively to climate crises and compound disasters. The plan focuses on shifting the existing management system from a response-centered model after a disaster occurs to a preventive model built around AI use.
To that end, the government will promote the structuring and integration of disaster safety data, as well as the conversion of disaster data into forms that can be used by AI. It will also push ahead with building field decision-support services for responses to heavy rain and typhoons.
The Ministry of the Interior and Safety and the National Information Society Agency (NIA) are carrying out the "Disaster Safety AI Data Build Project." The project aims to help generative AI directly use disaster data.
The government plans to establish a foundation for converting unstructured documents such as daily safety management situation reports and situation alert messages into structured data, and to create a basis for integrated analysis of satellite data and data on disaster-vulnerable areas such as natural disaster risk improvement districts and landslide-prone areas. It also plans to build a system that links disaster information scattered across agencies by incident unit and turns it into a form that AI can use more easily.
Based on such a system, the government plans to have AI jointly analyze flood extent and damage information from the Ministry of the Interior and Safety, weather conditions from the Korea Meteorological Administration, river levels from the Ministry of Climate, and 119 emergency call information from the National Fire Agency when heavy rain occurs, and to apply AI's method of judging risk situations.
The government also decided to improve public websites to support accurate AI interpretation of disaster data and to reduce the possibility that generative AI will collect misinformation due to multi-step access procedures and complex information structures. In addition, it plans to promote the creation of an "AI-friendly web environment" in future new builds and redesigns and strengthen cooperation among related agencies for that purpose.
The Ministry of the Interior and Safety will pilot an AI decision-support service for field response. The local governments selected through this year's public contest are Busan Metropolitan City, Yeongcheon, North Gyeongsang Province, and Inje County, Gangwon Province. The ministry has begun building a system with those local governments for typhoon and heavy rain situations.
The system works by having AI analyze real-time weather information, risk factors such as underground spaces and low-lying areas, and past damage cases. Based on that, it provides functions that suggest evacuation measures and blockade measures. The ministry held a project kickoff briefing on the 8th.
The Ministry of the Interior and Safety plans to verify the effectiveness of the AI decision-support service by early next year. It also plans to review its applicability in the field by early next year.
AI projects in the disaster safety sector are expanding at the pan-government level. As of this year, 12 ministries are participating in about 50 projects, with total spending of KRW 278.55 billion. The focus areas include urban flood forecasting, AI flood forecasting, large wildfire response, railroad security, and marine disaster response. Major projects include the Ministry of Climate's AI flood forecasting facility build project, the Ministry of Climate's climate change adaptation water disaster management technology development project, the Korea Forest Service's intelligent solution development project for large wildfire response, and the Ministry of Land, Infrastructure and Transport's digital road AI new technology support project. The Ministry of Trade, Industry and Energy and the Ministry of Employment and Labor are also pursuing projects to use vision AI to detect industrial site hazards in real time and manage safety.
Before applying AI in the disaster safety sector, the Ministry of the Interior and Safety plans to first structure disaster data and prioritize linking disaster data between agencies. It then plans to gradually expand AI forecasting and judgment functions into field operations.
The Ministry of the Interior and Safety plans to conduct a data demand survey and specify data provision procedures regarding the direction of service development related to the use of disaster safety data by public institutions and by private companies. Minister of the Interior and Safety Yoon Ho-jung said he intends to accelerate work to quickly transform and integrate accumulated disaster management data into a form that AI can understand, and also expressed the view that he will push to complete disaster safety AX that provides practical help to field officials.
Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=407378
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Source: TECHWORLD
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