Table of contents

Chapter 1: Classification of AI Systems as High-Risk

Article 6: Classification Rules for High-Risk AI Systems

Article 7: Amendments to Annex III

Chapter 2: Requirements for High-Risk AI Systems

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

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

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

Article 17: Quality Management System

Article 18: Documentation Keeping

Article 20: Automatically Generated Logs

Article 21: Corrective Actions and Duty of Information

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

Chapter 4: Notifying Authorities and Notified Bodies

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

Chapter 5: Standards, Conformity Assessment, Certificates, Registration

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 51: Registration

Chapter 1: Post-Market Monitoring

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

Chapter 2: Sharing of Information on Serious Incidents

Article 62: Reporting of Serious Incidents

Chapter 3: Enforcement

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

Chapter 3b: Remedies

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

Chapter 3c: Supervision, Investigation, Enforcement and Monitoring in Respect of Providers of General Purpose AI Models

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

Annex IXa: Technical Documentation Referred to in Article C(1a)

Technical documentation for providers of general-purpose AI models:

Section 1: Information to be provided by all providers of general-purpose AI models

The technical documentation referred to in Article X (b) shall contain at least the following information as appropriate to the size and risk profile of the model:

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 in which it can be integrated;

b) acceptable use policies applicable;

c) the date of release and methods of distribution;

d) the architecture and number of parameters;

e) modality (e.g. text, image) and format of inputs and outputs;

f) the license.

2. A detailed description of the elements of the model referred to in paragraph 1, and relevant information of the process for the development, including the following elements:

a) the technical means (e.g. instructions of use, infrastructure, tools) required for the general-purpose AI model to be integrated in AI systems;

b) the design specifications of the model and training process, including training methodologies and techniques, the key design choices including the rationale and assumptions made; what the model is designed to optimise for and the relevance of the different parameters, as applicable;

c) information on the data used for training, testing and validation, where applicable, including type and provenance of data and curation methodologies (e.g. cleaning, filtering etc), the number of data points, their scope and main characteristics; how the data was obtained and selected as well as all other measures to detect the unsuitability of data sources and methods to detect identifiable biases, where applicable;

d) the computational resources used to train the model (e.g. number of floating point operations – FLOPs-), training time, and other relevant details related to the training;

e) known or estimated energy consumption of the model; in case not known, this could be based on information about computational resources used.

Section 2: Additional information to be provided by providers of general-purpose AI model with systemic risk

3. Detailed description of the evaluation strategies, including evaluation results, on the basis of available public evaluation protocols and tools or otherwise of other evaluation methodologies. Evaluation strategies shall include evaluation criteria, metrics and the methodology on the identification of limitations.

4. Where applicable, detailed description of the measures put in place for the purpose of conducting internal and/or external adversarial testing (e.g., red teaming), model adaptations, including alignment and fine-tuning. Where applicable, detailed description of the system architecture explaining how software components build or feed into each other and integrate into the overall processing.