Table of contents

Article 6: Classification Rules for High-Risk AI Systems

Article 7: Amendments to Annex III

Article 8: Compliance with the Requirements

Article 9: Risk Management System

Article 10: Data and Data Governance

Article 11: Technical Documentation

Article 12: Record-Keeping

Article 13: Transparency and Provision of Information to Deployers

Article 14: Human Oversight

Article 15: Accuracy, Robustness and Cybersecurity

Article 16: Obligations of Providers of High-Risk AI Systems

Article 17: Quality Management System

Article 18: Documentation Keeping

Article 19: deleted

Article 20: Automatically Generated Logs

Article 21: Corrective Actions and Duty of Information

Article 22: deleted

Article 23: Cooperation with Competent Authorities

Article 25: Authorised Representatives

Article 26: Obligations of Importers

Article 27: Obligations of Distributors

Article 28: Responsibilities Along the AI Value Chain

Article 29: Obligations of Deployers of High-Risk AI Systems

Article 29a: Fundamental Rights Impact Assessment for High-Risk AI Systems

Article 30: Notifying Authorities

Article 31: Application of a Conformity Assessment Body for Notification

Article 32: Notification Procedure

Article 33: Requirements Relating to Notified Bodies

Article 33a: Presumption of Conformity with Requirements Relating to Notified Bodies

Article 34: Subsidiaries of and Subcontracting by Notified Bodies

Article 34a: Operational Obligations of Notified Bodies

Article 35: Identification Numbers and Lists of Notified Bodies Designated Under this Regulation

Article 36: Changes to Notifications

Article 37: Challenge to the Competence of Notified Bodies

Article 38: Coordination of Notified Bodies

Article 39: Conformity Assessment Bodies of Third Countries

Article 40: Harmonised Standards and Standardisation Deliverables

Article 41: Common Specifications

Article 42: Presumption of Conformity with Certain Requirements

Article 43: Conformity Assessment

Article 44: Certificates

Article 46: Information Obligations of Notified Bodies

Article 47: Derogation from Conformity Assessment Procedure

Article 48: EU Declaration of Conformity

Article 49: CE Marking of Conformity

Article 50: Moved to Article 18

Article 51: Registration

Article 61: Post-Market Monitoring by Providers and Post-Market Monitoring Plan for High-Risk AI Systems

Article 62: Reporting of Serious Incidents

Article 63: Market Surveillance and Control of AI Systems in the Union Market

Article 63a: Mutual Assistance, Market Surveillance and Control of General Purpose AI Systems

Article 63b: Supervision of Testing in Real World Conditions by Market Surveillance Authorities

Article 64: Powers of Authorities Protecting Fundamental Rights

Article 65: Procedure for Dealing with AI Systems Presenting a Risk at National Level

Article 65a: Procedure for Dealing with AI Systems Classified by the Provider as a Not High-Risk in Application of Annex III

Article 66: Union Safeguard Procedure

Article 67: Compliant AI Systems Which Present a Risk

Article 68: Formal Non-Compliance

Article 68a: EU AI Testing Support Structures in the Area of Artificial Intelligence

Article 68a(1): Right to Lodge a Complaint with a Market Surveillance Authority

Article 68c: A Right to Explanation of Individual Decision-Making

Article 68d: Amendment to Directive (EU) 2020/1828

Article 68e: Reporting of Breaches and Protection of Reporting Persons

Article 68f: Enforcement of Obligations on Providers of General Purpose AI Models

Article 68g : Monitoring Actions

Article 68h: Alerts of Systemic Risks by the Scientific Panel

Article 68i: Power to Request Documentation and Information

Article 68j: Power to Conduct Evaluations

Article 68k: Power to Request Measures

Article 68m: Procedural Rights of Economic Operators of the General Purpose AI Model

Recital 60n

It is appropriate to establish a methodology for the classification of general-purpose AI models as general-purpose AI model with systemic risks. Since systemic risks result from particularly high capabilities, a general-purpose AI models should be considered to present systemic risks if it has high-impact capabilities, evaluated on the basis of appropriate technical tools and methodologies, or significant impact on the internal market due to its reach. High-impact capabilities in general purpose AI models means capabilities that match or exceed the capabilities recorded in the most advanced general-purpose AI models. The full range of capabilities in a model could be better understood after its release on the market or when users interact with the model. According to the state of the art at the time of entry into force of this Regulation, the cumulative amount of compute used for the training of the general-purpose AI model measured in floating point operations (FLOPs) is one of the relevant approximations for model capabilities. The amount of compute used for training cumulates the compute used across the activities and methods that are intended to enhance the capabilities of the model prior to deployment, such as pre-training, synthetic data generation and fine-tuning. Therefore, an initial threshold of FLOPs should be set, which, if met by a general-purpose AI model, leads to a presumption that the model is a general-purpose AI model with systemic risks. This threshold should be adjusted over time to reflect technological and industrial changes, such as algorithmic improvements or increased hardware efficiency, and should be supplemented with benchmarks and indicators for model capability. To inform this, the AI Office should engage with the scientific community, industry, civil society and other experts. Thresholds, as well as tools and benchmarks for the assessment of high-impact capabilities, should be strong predictors of generality, its capabilities and associated systemic risk of general-purpose AI models, and could take into taking into account the way the model will be placed on the market or the number of users it may affect. To complement this system, there should be a possibility for the Commission to take individual decisions designating a general-purpose AI model as a general-purpose AI model with systemic risk if it is found that such model has capabilities or impact equivalent to those captured by the set threshold. This decision should be taken on the basis of an overall assessment of the criteria set out in Annex YY, such as quality or size of the training data set, number of business and end users, its input and output modalities, its degree of autonomy and scalability, or the tools it has access to. Upon a reasoned request of a provider whose model has been designated as a general-purpose AI model with systemic risk, the Commission should take the request into account and may decide to reassess whether the general-purpose AI model can still be considered to present systemic risks.