Article 51: Classification of general-purpose AI models as general-purpose AI models with systemic risk
The article defines criteria for classifying general-purpose AI models as having systemic risk. Models are considered systemic risk if they have high impact capabilities, as evaluated by technical tools and methodologies. The European Commission can also designate models as having systemic risk based on specific criteria either on its own initiative (ex officio) or after a qualified alert from the scientific panel. Models being trained with more than 10^25 floating point operations are presumed to have high impact capabilities.
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:
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 10^25.
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.
Relevant recitals
Other resources
Guidelines on the scope of the obligations for general-purpose AI models