Control Implementation
View control requirements, implementation steps, and evidence.
View control requirements, implementation steps, and evidence.
Continuously monitor data quality during AI system operation to detect quality degradation, identify quality issues early, and enable timely remediation to maintain AI system performance and compliance.
Continuously monitor data quality during AI system operation to detect quality degradation, identify quality issues early, and enable timely remediation to maintain AI system performance and compliance.
Control Type
detective control - Designed to detect issues when they occur
Review Frequency
Continuous
Risk Level
medium - Moderate priority for implementation
Refer to the source standard for detailed implementation steps, evidence requirements, and success criteria.
AI Data Governance Standard →POL-AI-001
AI Governance Policy
View policy for full requirements mapping.
Control ID
DATA-003
Legal Basis
Article 10Source Standard
STD-AI-003Parent Policy
POL-AI-001Risk Level
Medium