Prevent Bias Propagation: AI Data Governance
GDPR Art. 5(1)(d) & EU AI Act Art. 10: Robust Data Quality Framework to Eliminate Model Bias at Source
Data & Model Trust
Service Description
Through technical implementation and advisory, we help you implement a comprehensive data governance framework. This ensures that the data used for training, validating, and testing high-risk AI systems is relevant, representative, and of high quality. Our processes address bias detection, data handling, and error management.
Regulatory Alignment & Compliance
This aligns with EU AI Act Article 10 (Data Governance) and the data quality principles of GDPR Article 5(1)(d) (Accuracy), Article 6 (Lawfulness of processing), and Article 9 (Processing of special categories of personal data).
Key Outcomes & Deliverables
A comprehensive data governance framework for AI, including established data quality controls, data lineage tracking, access controls, and clear accountability for data assets, ensuring data is relevant, representative, error-free, and complete.
Service Details
Category
Data & Model Trust
Industry Tags
Generic
Contribution Tags
System ArchitectureMLOps
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