Control Details
Control Implementation
View control requirements, implementation steps, and evidence.
View control requirements, implementation steps, and evidence.
Assess and document that datasets are relevant to intended purpose and geographical/behavioral/functional setting to ensure AI systems are trained on appropriate data that reflects their actual deployment context, in compliance with EU AI Act Article 10(3).
Assess and document that datasets are relevant to intended purpose and geographical/behavioral/functional setting to ensure AI systems are trained on appropriate data that reflects their actual deployment context, in compliance with EU AI Act Article 10(3).
Control Type
preventive control - Designed to prevent issues before they occur
Review Frequency
Per AI system, annually
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-004
Legal Basis
Article 10Source Standard
STD-AI-003Parent Policy
POL-AI-001Risk Level
High