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EU EU AI Act — Current Textv0.1.3
Composed current text — not authentic. COMPOSED TEXT - NOT AUTHENTIC. This is the EU AI Act (Regulation (EU) 2024/1689) with the Digital Omnibus on AI (Regulation (EU) 2026/1744, in force 27 July 2026) applied by a deterministic, gated parser. Only the Official Journal publications are authentic law; no official consolidated version existed when this was generated. Corrigenda R(01)-R(04) do not correct the English text (verified against CELLAR). Every fragment's derivation chain is available in the source graphs (vault: data/graph/). Not legal advice.
Derivation

eu-2026-1744/art_001/pt_009/a

op replace · level paragraph · enacting-terms position (9) (a) · in force 2026-07-27

Context (enacting terms)

Article 10 is amended as follows:

The instruction (quoted official text)

paragraph 1 is replaced by the following:

Quoted payload (official replacement/inserted text)

1.High-risk AI systems which make use of techniques involving the training of AI models with data shall be developed on the basis of training, validation and testing data sets that meet the quality criteria referred to in paragraphs 2, 3 and 4 of this Article and in Article 4a(1) whenever such data sets are used.;

Provenance

linkvalue
payload xml sha2560cf6c4974c6eab1b7cea8d823c085f5003133c68de66c8cb74818ca9204dae62
OJ Formex memberL_202601744EN.000101.fmx.xml
CELLAR / CELEX32026R1744
target resolutiongrammar over enacting terms; cross-checked against payload Formex IDENTIFIER attributes where present (parser-derived)

Affected provisions

eu-2024-1689/art_010/par_001 amended

BEFORE (as published)

1. High-risk AI systems which make use of techniques involving the training of AI models with data shall be developed on the basis of training, validation and testing data sets that meet the quality criteria referred to in paragraphs 2 to 5 whenever such data sets are used.

AFTER (composed current text)

1. High-risk AI systems which make use of techniques involving the training of AI models with data shall be developed on the basis of training, validation and testing data sets that meet the quality criteria referred to in paragraphs 2, 3 and 4 of this Article and in Article 4a(1) whenever such data sets are used.

WORD-LEVEL DIFF

1. High-risk AI systems which make use of techniques involving the training of AI models with data shall be developed on the basis of training, validation and testing data sets that meet the quality criteria referred to in paragraphs 22, to3 5and 4 of this Article and in Article 4a(1) whenever such data sets are used.

Check this and report · derivation.json

How to check: compare the quoted instruction and payload above (hash-anchored to the OJ Formex bytes) against the BEFORE/AFTER panes. Two minutes, one provision. Then file the result — "checks out" is worth recording too.