Control Details
Control Implementation
View control requirements, implementation steps, and evidence.
View control requirements, implementation steps, and evidence.
Define specific data quality requirements for each AI system based on intended purpose and risk level to ensure datasets meet appropriate quality standards before use in AI training, validation, and testing, in compliance with EU AI Act Article 10(2).
Define specific data quality requirements for each AI system based on intended purpose and risk level to ensure datasets meet appropriate quality standards before use in AI training, validation, and testing, in compliance with EU AI Act Article 10(2).
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-001
Legal Basis
Article 10Source Standard
STD-AI-003Parent Policy
POL-AI-001Risk Level
High