Security & GDPR
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Read articleKey takeaways
- The AI Act is the first comprehensive AI regulatory framework in the EU.
- It classifies AI systems by risk level, with increasing obligations.
- It introduces requirements for data governance, quality and traceability.
- Data quality and governance are the basis of compliance.
- High-risk systems face the strictest data requirements.
Artificial intelligence has gone from a promise to being regulated. The EU AI Act establishes the world’s first comprehensive framework for AI, and its requirements largely fall on the data that feeds it.
What it is
The AI Act is the EU regulation governing the development and use of AI systems, with a risk-based approach: the higher a system’s risk, the stricter its obligations.
The risk levels
- Unacceptable risk: prohibited practices.
- High risk: systems in sensitive areas, with strict obligations.
- Limited risk: transparency obligations (disclosing AI interaction).
- Minimal risk: most applications, with light requirements.
Unacceptable
Prohibited
High risk
Strict dataobligations
Limited / minimal
TransparencyLight
What it requires regarding data
For high-risk systems, the AI Act introduces data-linked requirements: quality and representative training and validation datasets, data governance, technical documentation, traceability and human oversight. Without a governed, quality data base, compliance is unfeasible.
Governed data as the basis of compliance
The practical conclusion is clear: compliant AI rests on a clean, traceable, governed data layer with access control and privacy. Ordering the data is not only a technical requirement for AI to work; it is also the basis for meeting the framework already in force.
Compliant AI rests on a clean, traceable, governed data layer — ordering the data is also a compliance matter.
In summary
The AI Act is the EU’s first comprehensive AI framework, classifying systems by risk with increasing obligations. For high-risk systems it requires quality, representative data, governance, traceability and human oversight — making a governed, quality data layer the basis of compliance.
Sources & further reading
Frequently asked questions
Does the AI Act affect every company using AI?
Obligations depend on the system’s risk level. Most uses are minimal or limited risk, but high-risk systems have strict data and governance requirements.
What does it have to do with my data?
A lot. It requires quality training data, governance, traceability and documentation. Without a governed data layer, compliance is very hard.
How do I prepare?
By ordering and governing data, documenting its origin and processing, and applying access control and human oversight over AI systems.
What are the risk levels?
Unacceptable (prohibited), high (strict obligations), limited (transparency) and minimal (most applications, light requirements).
What do high-risk systems require?
Quality and representative training/validation data, governance, technical documentation, traceability and human oversight.
Is governed data really a compliance issue?
Yes. The AI Act ties compliance to data quality and governance, so ordering the data is both a technical and a legal requirement.
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