Audit Reveals Poor Quality and Management of South Korean Public AI Training Data

South Korea audits its public AI training data and finds it duplicated, incomplete, and unverified. The models trained on it will be fine, presumably.

A government audit in South Korea found that public sector AI training datasets were often low-quality, duplicated, and lacked proper quality control, risking future AI system malfunctions. Key issues included missing essential data, lack of third-party verification, and inefficient management across multiple agencies.

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