Control Details
Control Implementation
View control requirements, implementation steps, and evidence.
View control requirements, implementation steps, and evidence.
Assess data quality against defined requirements before use in AI training to ensure datasets meet quality thresholds and prevent quality issues from affecting AI system performance and compliance.
EU AI Act
Article 10Frequency
Before training, after significant data updates
Category
Data GovernanceStandard
STD-AI-003Assess data quality against defined requirements before use in AI training to ensure datasets meet quality thresholds and prevent quality issues from affecting AI system performance and compliance.
Control Type
preventive control - Designed to prevent issues before they occur
Review Frequency
Before training, after significant data updates
Risk Level
high - Important for compliance, requires prompt attention
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-002
Legal Basis
Article 10Source Standard
STD-AI-003Parent Policy
POL-AI-001Risk Level
High