{"slug":"eu-ai-act-data-governance","id":"AIPT-OBL-0007","permanent_url":"https://aipolicytracker.org/id/AIPT-OBL-0007","title":"Apply data governance and quality criteria to training, validation and testing data","short_title":"Data and data governance","category":"data_governance","summary":"High-risk AI systems that use data-driven techniques must be developed on training, validation and testing data sets meeting quality criteria: appropriate governance practices covering design choices, data collection and origin, preparation, assumptions, availability and suitability, examination for possible biases, and measures to detect, prevent and mitigate bias. Data must be relevant, sufficiently representative and, to the best extent possible, free of errors and complete for the intended purpose.\n","practical_action":"Produce a data-provenance and bias-assessment record for each data set used to build the system.\n","is_binding":true,"applies_from":"2027-12-02","section":"Articles 8–15","source_reference":"Article 10","official_source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","review_status":"pending_review","confidence_level":"medium","last_verified_at":null,"reviewed_by":null,"actors":["provider"],"sectors":["cross_sector"],"use_cases":["hiring_and_hr","biometrics","health","finance_and_credit"],"applicability":[{"description":"Providers of high-risk AI systems that involve model training.","actors":["provider"],"conditions":null}],"evidence_examples":[{"title":"Dataset documentation (datasheet)","description":null,"artifact_type":"document"},{"title":"Bias examination report","description":null,"artifact_type":"report"}],"framework_mappings":[{"framework":"iso_42001","framework_name":"ISO/IEC 42001:2023","reference":"Annex A controls on data for AI systems","note":"Original editorial mapping.","confidence_level":"medium","is_original":true},{"framework":"nist_ai_rmf","framework_name":"NIST AI RMF 1.0","reference":"MAP 2.3, MEASURE 2.1, MEASURE 2.11","note":"Data quality and bias measurement.","confidence_level":"medium","is_original":true}],"controls":[{"slug":"data-governance-and-dataset-documentation","title":"Data governance and dataset documentation","kind":"process","relationship":"satisfies","note":"Dataset documentation, representativeness and bias checks per dataset.","confidence_level":"high","url":"https://aipolicytracker.org/controls/data-governance-and-dataset-documentation"},{"slug":"training-data-provenance-and-copyright-register","title":"Training-data provenance and copyright register","kind":"process","relationship":"supports","note":"Origin and collection records for each source.","confidence_level":"medium","url":"https://aipolicytracker.org/controls/training-data-provenance-and-copyright-register"}],"url":"https://aipolicytracker.org/obligations/eu-ai-act-data-governance","policy":{"slug":"eu-ai-act","title":"Regulation (EU) 2024/1689 — Artificial Intelligence Act","status":"partially_applicable","jurisdiction":"eu","url":"https://aipolicytracker.org/policies/eu-ai-act"}}