AI Data Must Be Connected, Not Collected
South Korea's National Data Office is advocating for a shift in national AI strategy, moving from data collection to data connection. Commissioner Ahn Hyung-joon stated that AI competitiveness hinges on linking scattered data through common standards rather than centralizing it. The office is developing MODI, the Model Data Intelligence platform, to facilitate this distributed approach. MODI aims to enable secure data sharing and usage across government ministries by establishing standard methodologies and interfaces, allowing data to remain at its source while being accessible when needed. This initiative seeks to enhance the reliability and performance of AI in public administration, supporting policy analysis and decision-making with trustworthy information.
South Korea's National Data Office is pushing a significant policy shift for AI development, emphasizing data connection over centralized collection. The MODI platform, or Model Data Intelligence, is central to this strategy. It proposes a distributed framework where data remains with individual ministries but can be securely linked and utilized through standardized interfaces and methodologies. This approach is designed to overcome legal and security constraints associated with centralizing sensitive government data, ensuring that AI models can access up-to-date and verified information for policy analysis and public services. The core challenge for MODI will be the successful implementation of these common data standards across diverse government agencies. Without universal adoption of classification and connection specifications, the initiative risks remaining a conceptual goal. The National Data Office believes that establishing these standards is crucial for developing a reliable national foundation model and enabling "AI for All" services that draw on accurate policy materials.
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