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Data governance: what AI regulations require
Quality, representativeness and provenance of training and input data.
6 requirements · 5 regulations · 3 checks
Requirements by regulation
EURGPD1
GDPR-04
BRPL 23381
BR-05
Non-discrimination and bias mitigation Arts. 5 III, 18
CNChina GenAI1
CN-03
Lawfulness, quality and IP of training data GenAI Art. 7, 8
INTLISO 420011
Checks in this theme
Most shared first
| Code | Check | Used by |
|---|---|---|
| VER-004-01 | Documented data governance (collection process, bias, quality) | |
| VER-004-02 | Input data relevant and representative in view of the intended purpose | |
| VER-028-D-03 | Input data sufficiently representative |
Related themes
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