The government will open up public data it possesses for use in artificial intelligence (AI) services and content creation. Initially, it will make cultural sector public data available to facilitate the creation of background images for video content and games.
The data will be reprocessed into a form suitable for AI learning, supporting corporations in generating high value-added businesses. A 'National AI Learning Data Cluster' will be established to provide AI learning data in one place.
A system will also be organized to maximize data utilization. First, a standard system called 'data catalog' will be prepared to enable each platform to link data. The data catalog refers to a management system that lists and enables search for the data held.
On the 22nd, the government announced the '15 Leading Projects for AI Transformation,' which includes this content. The government categorized its 15 major projects for AI development into four key areas: 'foundation building,' 'talent,' 'public sector,' and 'corporations,' and selected projects accordingly.
◇ Preparing a data opening and utilization system to establish an AI foundation
Foundation building focuses on data opening, utilization, and the establishment of a national cooperation system among industry, academia, and research institutions for AI development. The government has determined that it is difficult to immediately open private data subject to the Personal Information Protection Act and will begin by opening public data to support AI development and platform construction.
This second half of the year, it will begin operating a 'Public Data Problem-Solving Support Center' to resolve corporations' challenges in using public data. Starting next year, it will open 'de-identified information' that cannot identify specific individuals and cultural sector public data. The aim is to open up cultural sector public data possessed by museums, national parks, and local governments to support its use as background images for K-content. Observers predict that this will minimize the expenses and human resources needed for producing backgrounds for games, video content, and webtoons.
A system will also be prepared to utilize the opened data effectively. A Ministry of Strategy and Finance official noted, 'The core is to activate the data economy foundation so that high-quality data can circulate more easily and to cultivate specialized data talent.'
Additionally, a system will be established for industry, academia, and research institutions to conduct joint research in the AI field. In the second half of this year, the launch of an 'AI Grand Alliance' involving AI supply companies, demand corporations, infrastructure firms, academia, and research institutions will be pursued. Through this collaboration, it plans to encourage sharing research resources, including graphics processing units (GPUs), and research outcomes.
◇ Supporting AI projects in seven key industries, including robots, automobiles, ships, and semiconductors
AI projects in seven fields, including robots, automobiles, ships, home appliances, drones, factories, and semiconductors, will also be pursued. In the robot sector, the goal is to secure humanoid technology and achieve mass production of humanoids by 2029, starting from logistics and moving into manufacturing, construction, and service sectors.
The automotive sector aims to secure AI technology for commercializing Level 4 autonomous vehicles by 2027. Level 4 autonomous driving means that the system performs most driving tasks, but the driver must intervene under certain conditions, referred to as 'conditional full autonomy stage.'
For the shipping sector, it proposed the development of an AI navigation system capable of autonomous operation (Level 4) at sea and autonomous operation (Level 3) without crew on coastal waters.
In the home appliance sector, support will be focused on developing AI technology centering around TVs and refrigerators. The plan includes supporting R&D of core display technologies like high-resolution displays and panel modules, allowing for new concept services such as TVs that respond to users' actions, states, or psychology starting in 2026.
Drones will focus on easing regulations. It will package support for the development of core components and software technologies necessary for AI drone development, leading to proactive development and distribution beginning with aviation safety and fire prevention sectors.
Manufacturing factories will also integrate AI to promote automation. By 2030, the goal is to achieve a 40% adoption rate of AI among manufacturing companies and to support the development of specialized AIs for each industry.
For AI semiconductors, full-stack joint development will be promoted for on-device AI semiconductors installed in advanced products. On-device AI semiconductors refer to chips that can perform AI computations independently without server connections. They are advantageous due to their lower power consumption compared to GPUs. 'Full-stack' means that support will be provided for all aspects, from semiconductors to the software and modules that make use of them, as well as the development of prototype products that incorporate the semiconductors.