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AI system learning and development

Activities to collect and process personal data for model training.

Definition

Activities encompassing the collection, labeling, preprocessing, storage, and use of personal data for training and testing AI models, including dataset curation, annotation, and related development-stage processing covered by the PIA subfield introduced by the notice.

Notice on Personal Information Impact Assessment (개인정보 영향평가에 관한 고시) - amendment introducing AI-specific/AI-related assessment criteria for public institutions

Related Terms

Processing for training

Collection and retention of personal data to train ML models....

Data processing

Any operation performed on personal data....

collection and use for AI development

Data activities across the AI model lifecycle....

Development / Training

Phase when an AI model learns from datasets to be created or tuned....

Personal Data Processing

Operations on personal data in connection with AI systems....

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