← current version of this provision
AI Act Article 51 — held text
This page is a held version, frozen at the capture below. It is a source
for review. It is not advice, and it does not determine whether this provision applies to you.
Article 51 Classification of general-purpose AI models as general-purpose AI models with systemic risk 1. A general-purpose AI model shall be classified as a general-purpose AI model with systemic risk if it meets any of the following conditions: (a) it has high impact capabilities evaluated on the basis of appropriate technical tools and methodologies, including indicators and benchmarks; (b) based on a decision of the Commission, ex officio or following a qualified alert from the scientific panel, it has capabilities or an impact equivalent to those set out in point (a) having regard to the criteria set out in Annex XIII. 2. A general-purpose AI model shall be presumed to have high impact capabilities pursuant to paragraph 1, point (a), when the cumulative amount of computation used for its training measured in floating point operations is greater than 1025. 3. The Commission shall adopt delegated acts in accordance with Article 97 to amend the thresholds listed in paragraphs 1 and 2 of this Article, as well as to supplement benchmarks and indicators in light of evolving technological developments, such as algorithmic improvements or increased hardware efficiency, when necessary, for these thresholds to reflect the state of the art.
CELEX: 32024R1689 · provision: 51
Locator: Article 51; PDF page 83; derived-text line 2317
Held artifact: docs_evidence/eu-legislation/eurlex-full-text/20260823T093000Z/32024R1689.pdf
Artifact SHA-256: bba630444b3278e881066774002a1d7824308934f49ccfa203e65be43692f55e
Captured: 20260823T093000Z
Extracted with: pdftotext version 4.00
Official source:
EUR-Lex
This version:
/celex/32024R1689/ART_51/20260823-bba63044/
Corpus Merkle root: 581628a5b36518981241d2b51f048aa46384f30a74bf648ef542c652028cdeff
Membership proof: 10 hashes — see
corpus-proof.json
Modal verbs, counted verbatim (not a legal characterisation): 'shall not': 0 · 'shall': 3 · 'must': 0 · 'may not': 0 · 'may': 0 · 'should': 0
To verify independently: fetch the official source above, extract it with the
named tool, and confirm the artifact SHA-256 matches. Then check this provision's leaf against
the published Merkle root using the proof in corpus-proof.json.