Control Implementation
View control requirements, implementation steps, and evidence.
View control requirements, implementation steps, and evidence.
Validate that bias mitigation achieves fairness objectives by calculating and verifying fairness metrics meet defined thresholds, ensuring AI systems treat all groups fairly across protected characteristics.
EU AI Act
Article 10Frequency
After mitigation, before deployment
Category
Data GovernanceStandard
STD-AI-003Validate that bias mitigation achieves fairness objectives by calculating and verifying fairness metrics meet defined thresholds, ensuring AI systems treat all groups fairly across protected characteristics.
Control Type
detective control - Designed to detect issues when they occur
Review Frequency
After mitigation, before deployment
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-009
Legal Basis
Article 10Source Standard
STD-AI-003Parent Policy
POL-AI-001Risk Level
High