Data & Privacy
AI & Trust
Cybersecurity
Digital Services & Media
CHAPTER I
GENERAL PROVISIONSArticles 1 — 4
CHAPTER II
PROHIBITED AI PRACTICESArticles 5 — 5
CHAPTER III
HIGH-RISK AI SYSTEMSArticles 6 — 49
CHAPTER IV
TRANSPARENCY OBLIGATIONS FOR PROVIDERS AND DEPLOYERS OF CERTAIN AI SYSTEMSArticles 50 — 50
CHAPTER V
GENERAL-PURPOSE AI MODELSArticles 51 — 56
CHAPTER VI
MEASURES IN SUPPORT OF INNOVATIONArticles 57 — 63
CHAPTER VII
GOVERNANCEArticles 64 — 70
CHAPTER VIII
EU DATABASE FOR HIGH-RISK AI SYSTEMSArticles 71 — 71
CHAPTER IX
POST-MARKET MONITORING, INFORMATION SHARING AND MARKET SURVEILLANCEArticles 72 — 94
CHAPTER X
CODES OF CONDUCT AND GUIDELINESArticles 95 — 96
CHAPTER XI
DELEGATION OF POWER AND COMMITTEE PROCEDUREArticles 97 — 98
CHAPTER XII
PENALTIESArticles 99 — 101
CHAPTER XIII
FINAL PROVISIONSArticles 102 — 113
ANNEXES
It is also necessary to clarify a procedure for the classification of a general-purpose AI model with systemic risks. A general-purpose AI model that meets the applicable threshold for high-impact capabilities should be presumed to be a general-purpose AI models with systemic risk. The provider should notify the AI Office at the latest two weeks after the requirements are met or it becomes known that a general-purpose AI model will meet the requirements that lead to the presumption. This is especially relevant in relation to the threshold of floating point operations because training of general-purpose AI models takes considerable planning which includes the upfront allocation of compute resources and, therefore, providers of general-purpose AI models are able to know if their model would meet the threshold before the training is completed. In the context of that notification, the provider should be able to demonstrate that, because of its specific characteristics, a general-purpose AI model exceptionally does not present systemic risks, and that it thus should not be classified as a general-purpose AI model with systemic risks. That information is valuable for the AI Office to anticipate the placing on the market of general-purpose AI models with systemic risks and the providers can start to engage with the AI Office early on. That information is especially important with regard to general-purpose AI models that are planned to be released as open-source, given that, after the open-source model release, necessary measures to ensure compliance with the obligations under this Regulation may be more difficult to implement.
If the Commission becomes aware of the fact that a general-purpose AI model meets the requirements to classify as a general-purpose AI model with systemic risk, which previously had either not been known or of which the relevant provider has failed to notify the Commission, the Commission should be empowered to designate it so. A system of qualified alerts should ensure that the AI Office is made aware by the scientific panel of general-purpose AI models that should possibly be classified as general-purpose AI models with systemic risk, in addition to the monitoring activities of the AI Office.