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Article 10 — Data and data governance

APPLIES DEC 2, 2027 WAS 2026-08-02 AMENDED BY OMNIBUS
Chapter III · High-risk tier
Source: EUR-Lex · CELEX 32024R1689
Verified 2026-07-16
PLAIN-LANGUAGE SUMMARY — ORIGINAL INTERPRETATION, NOT THE OFFICIAL TEXT

Where high-risk AI systems are trained on data, the training, validation and testing sets must meet governance standards fitting their purpose. Providers examine sources, representativeness and possible bias, and act to detect and reduce bias that could harm people or cause unlawful discrimination. Data must be relevant and, as far as possible, accurate and complete. Special-category data may be used for bias correction only under strict safeguards. Where no model training is involved, only testing data are covered.

AMENDED BY THE DIGITAL OMNIBUS ON AI

This provision's application date moved under the Omnibus. It now applies from 2027-12-02 (originally 2026-08-02). Source: Omnibus final text (OJ pending) · verified 2026-07-16

OFFICIAL TEXT Read verbatim on EUR-Lex ↗
The authoritative wording lives on EUR-Lex, quoted there in all 24 languages. We deep-link to the paragraph level rather than reproducing the full text. The consolidated post-Omnibus version will be linked the day its CELEX publishes.
AT A GLANCE
Chapter: III — High-risk AI systems
Applies: Dec 2, 2027
Tier: High-risk tier
RELATED
Related obligations →Standards →Guidance →
PENALTY EXPOSURE
€15M or 3%
of worldwide turnover — see Art. 99 penalties framework.
← PREVIOUS · ART. 9 Risk management system NEXT · ART. 11 → Technical documentation
ELSEWHERE IN CHAPTER III — High-risk AI systems
Art. 6 Classification rules for high-risk AI systems Art. 7 Amendments to Annex III Art. 8 Compliance with the requirements Art. 9 Risk management system Art. 11 Technical documentation Art. 12 Record-keeping Art. 13 Transparency and provision of information to d Art. 14 Human oversight