Chapter V · General-purpose AI models
Article 51 — Classification of general-purpose AI models as general-purpose AI models with systemic risk
Official text
Each paragraph records where its wording comes from. Only text reproduced unchanged from the Official Journal is authentic; consolidated text is editorial and has no legal value. Paragraphs, subparagraphs and points each have their own link.
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.
Authentic — as published in the Official Journal
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.
Authentic — as published in the Official Journal
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.
Authentic — as published in the Official Journal
The formal analysis of Article 51
Article 6 is formalised first. The remaining articles follow.
Article 51 is formalised node by node: each rule as a deontic position with its operator, each exception with its rank, each predicate resolved against the definitions in Article 3.
What members get, per article
- the rule logic: every norm as a formal position, with the defeater chain that decides which exception wins
- the competency questions and their answers, every unanswered one marked as a gap and named
- the ontology: predicates bound to AISV (AI Standardisation Vocabulary) and to the definitions they depend on, exportable as JSON-LD and OWL
- the documentation: the Article 6(4) assessment record generated from a fact set, with its derivation and the version of the law it was decided against
Built for providers claiming the 6(3) derogation, for the counsel who has to defend that claim, and for the auditor who reads it afterwards.
Access is invite-only and opening in stages. Article 6 is formalised first; the remaining articles follow.
No mail client? Write to hello@signatu.com
Already a member? Sign in
Commentary in preparation
The official text above is complete. The editorial layer for this article — duties, the roles bound by them, the AISV concepts that model them, and the European standards written to support them — is in preparation, in the same form as the articles already published.
See the published articles