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Recitals
Chapter I: General Provisions
Chapter II: Prohibited AI Practices
Chapter III: High-Risk AI Systems

Section 1: Classification of AI Systems as High-Risk

Section 2: Requirements for High-Risk AI Systems

Section 3: Obligations of Providers and Deployers of High-Risk AI Systems and Other Parties

Section 4: Notifying Authorities and Notified Bodies

Section 5: Standards, Conformity Assessment, Certificates, Registration

Chapter IV: Transparency Obligations for Providers and Deployers of Certain AI Systems
Chapter V: General-Purpose AI Models
Chapter VI: Measures in Support of Innovation
Chapter VII: Governance
Chapter VIII: EU Database for High-Risk AI Systems
Chapter IX: Post-Market Monitoring, Information Sharing and Market Surveillance

Section 1: Post-Market Monitoring

Section 2: Sharing of Information on Serious Incidents

Section 3: Enforcement

Section 4: Remedies

Section 5: Supervision, Investigation, Enforcement and Monitoring in Respect of Providers of General-Purpose AI Models

Chapter X: Codes of Conduct and Guidelines
Chapter XI: Delegation of Power and Committee Procedure
Chapter XII: Penalties
Chapter XIII: Final Provisions
Annexes

Annex XII

The information referred to in Article 53(1), point (b) shall contain at least the following:

1.A general description of the general-purpose AI model including:
(a)the tasks that the model is intended to perform and the type and nature of AI systems into which it can be integrated;
(b)the acceptable use policies applicable;
(c)the date of release and methods of distribution;
(d)how the model interacts, or can be used to interact, with hardware or software that is not part of the model itself, where applicable;
(e)the versions of relevant software related to the use of the general-purpose AI model, where applicable;
(f)the architecture and number of parameters;
(g)the modality (e.g. text, image) and format of inputs and outputs;
(h)the licence for the model.
2.A description of the elements of the model and of the process for its development, including:
(a)the technical means (e.g. instructions for use, infrastructure, tools) required for the general-purpose AI model to be integrated into AI systems;
(b)the modality (e.g. text, image, etc.) and format of the inputs and outputs and their maximum size (e.g. context window length, etc.);
(c)information on the data used for training, testing and validation, where applicable, including the type and provenance of data and curation methodologies.