Regulatory Compliance News

South Korea Drives Standardization of Global AI Data Quality Framework Under ISO/IEC 5259

South Korea’s Ministry of Science and ICT announced the formal adoption and international publication of ISO/IEC 5259-1:2024, a landmark foundational standard for artificial intelligence and machine learning data quality evaluation. Developed through a multi-year international project led by South Korean experts within ISO/IEC JTC 1/SC 42—the joint technical committee for artificial intelligence—the standard establishes an internationally agreed-upon conceptual framework, unified terminology, and classification structures for managing data quality across the entire AI lifecycle.

By standardizing core definitions and foundational models, ISO/IEC 5259-1 serves as the anchor for the broader ISO/IEC 5259 six-part standard series, which addresses data quality requirements, quantitative measurement metrics, process frameworks, and operational guidelines. The adoption directly targets critical vulnerabilities in machine learning systems, such as dataset bias, unrepresentative sampling, and algorithmic unpredictability caused by poor raw data governance. Industry leaders and regulatory bodies are leveraging this framework alongside overarching AI management systems like ISO/IEC 42001 to facilitate third-party audits, ensure data integrity, and establish verifiable safety and reliability controls across commercial AI applications worldwide.