Rule set sha256:bd65ec208a53
EU_AI_ACT_ART10_DATA_GOVERNANCE_001
One rule of the rule set with digest bd65ec208a532545cac038041e8bb3c2f62a09305837af00fa0917875f49eb75. An audit record that names this digest and this rule was decided by the rule as shown here. Every rule in this set.
| Rule | EU_AI_ACT_ART10_DATA_GOVERNANCE_001 |
|---|---|
| Rule version | 79535daec2f5c0e4aca1a477e4d8d9b33218f974d747b828348a60c0c3f90865 |
| Provision | Regulation (EU) 2024/1689, Article 10(2) and (3) ELI: http://data.europa.eu/eli/reg/2024/1689/art_10/oj |
| Approval | Not approved |
rules/regulations/eu/eu_ai_act_article10_data_governance.yaml
- Citation
- Regulation (EU) 2024/1689, Article 10(2), first sentence: Training, validation and testing data sets shall be subject to data governance and management practices appropriate for the intended purpose of the high-risk AI system. Article 10(3), first sentence: Training, validation and testing data sets shall be relevant, sufficiently representative, and to the best extent possible, free of errors and complete in view of the intended purpose.
- Condition
- Requires that training, validation, and testing datasets for high-risk AI systems are relevant, sufficiently representative, to the best extent possible free of errors and complete for the intended purpose, and examined for possible biases. Article 10.
- Condition type
- regex; semantic condition in the file, not run by the engine
- Status in the file
- review