Navigating the EU AI Act for Data Teams

From Legal Text to Data Architecture

The EU AI Act introduces strict new requirements for organizations deploying AI systems, but translating those legal requirements into practical data architecture is challenging. This whitepaper bridges the gap between regulatory compliance and data engineering.

What's inside:

• Risk Categorization: A clear framework for determining if your AI systems fall under Unacceptable, High, Limited, or Minimal risk.
• The Transparency Requirement: How to track the lineage of datasets used to train models and automatically generate compliance reports.
• Data Quality for AI: The specific data quality standards mandated by the Act to prevent bias and ensure accuracy.
• Qarion Mapping: How Qarion's AI Governance features automate these compliance needs out of the box.