Table of contents

Section 1: Classification of AI Systems as High-Risk

Article 6: Classification Rules for High-Risk AI Systems

Article 7: Amendments to Annex III

Section 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

Section 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 19: Automatically Generated Logs

Article 20: Corrective Actions and Duty of Information

Article 21: Cooperation with Competent Authorities

Article 22: Authorised Representatives of Providers of High-Risk AI Systems

Article 23: Obligations of Importers

Article 24: Obligations of Distributors

Article 25: Responsibilities Along the AI Value Chain

Article 26: Obligations of Deployers of High-Risk AI Systems

Article 27: Fundamental Rights Impact Assessment for High-Risk AI Systems

Section 4: Notifying Authorities and Notified Bodies

Article 28: Notifying Authorities

Article 29: Application of a Conformity Assessment Body for Notification

Article 30: Notification Procedure

Article 31: Requirements Relating to Notified Bodies

Article 32: Presumption of Conformity with Requirements Relating to Notified Bodies

Article 33: Subsidiaries of Notified Bodies and Subcontracting

Article 34: Operational Obligations of Notified Bodies

Article 35: Identification Numbers and Lists of Notified Bodies

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

Section 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 45: Information Obligations of Notified Bodies

Article 46: Derogation from Conformity Assessment Procedure

Article 47: EU Declaration of Conformity

Article 48: CE Marking

Article 49: Registration

Section 1: Post-Market Monitoring

Article 72: Post-Market Monitoring by Providers and Post-Market Monitoring Plan for High-Risk AI Systems

Section 2: Sharing of Information on Serious Incidents

Article 73: Reporting of Serious Incidents

Section 3: Enforcement

Article 74: Market Surveillance and Control of AI Systems in the Union Market

Article 75: Mutual Assistance, Market Surveillance and Control of General-Purpose AI Systems

Article 76: Supervision of Testing in Real World Conditions by Market Surveillance Authorities

Article 77: Powers of Authorities Protecting Fundamental Rights

Article 78: Confidentiality

Article 79: Procedure at National Level for Dealing with AI Systems Presenting a Risk

Article 80: Procedure for Dealing with AI Systems Classified by the Provider as Non-High-Risk in Application of Annex III

Article 81: Union Safeguard Procedure

Article 82: Compliant AI Systems Which Present a Risk

Article 83: Formal Non-Compliance

Article 84: Union AI Testing Support Structures

Section 4: Remedies

Article 85: Right to Lodge a Complaint with a Market Surveillance Authority

Article 86: Right to Explanation of Individual Decision-Making

Article 87: Reporting of Infringements and Protection of Reporting Persons

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

Article 88: Enforcement of the Obligations of Providers of General-Purpose AI Models

Article 89 : Monitoring Actions

Article 90: Alerts of Systemic Risks by the Scientific Panel

Article 91: Power to Request Documentation and Information

Article 92: Power to Conduct Evaluations

Article 93: Power to Request Measures

Article 94: Procedural Rights of Economic Operators of the General-Purpose AI Model

Recitals

Annexes

Search within the Act

Annex IV: Technical Documentation Referred to in Article 11(1)

Summary

AI system providers are required to provide detailed technical documentation under the AI Act, and this Annex specifies what this documentation should contain. This includes a general description of the AI system, its purpose, how it interacts with other systems, and the hardware it runs on. It also requires a detailed description of the AI system's development process, including design specifications, data requirements, and testing procedures. The documentation must also include information about the system's performance, risk management, any changes made throughout its lifecycle, and how it complies with EU standards. Lastly, it should include a plan for monitoring the system's performance after it's been launched.

Generated by CLaiRK, edited by us.

NOTE: This translation is a machine-generated translation. It is not the official translation provided by the European Parliament. When the AI Act is published in the official journal, the machine-generated translations will be replaced by the official translations.

The technical documentation referred to in Article 11(1) shall contain at least the following information, as applicable to the relevant AI system:

1. A general description of the AI system including:

(a) its intended purpose, the name of the provider and the version of the system reflecting its relation to previous versions;

(b) how the AI system interacts with, or can be used to interact with, hardware or software, including with other AI systems, that are not part of the AI system itself, where applicable;

(c) the versions of relevant software or firmware, and any requirements related to version updates;

(d) the description of all the forms in which the AI system is placed on the market or put into service, such as software packages embedded into hardware, downloads, or APIs;

(e) the description of the hardware on which the AI system is intended to run;

(f) where the AI system is a component of products, photographs or illustrations showing external features, the marking and internal layout of those products;

(g) a basic description of the user-interface provided to the deployer;

(h) instructions for use for the deployer, and a basic description of the user-interface provided to the deployer, where applicable;

2. A detailed description of the elements of the AI system and of the process for its development, including:

(a) the methods and steps performed for the development of the AI system, including, where relevant, recourse to pre-trained systems or tools provided by third parties and how those were used, integrated or modified by the provider;

(b) the design specifications of the system, namely the general logic of the AI system and of the algorithms; the key design choices including the rationale and assumptions made, including with regard to persons or groups of persons in respect of who, the system is intended to be used; the main classification choices; what the system is designed to optimise for, and the relevance of the different parameters; the description of the expected output and output quality of the system; the decisions about any possible trade-off made regarding the technical solutions adopted to comply with the requirements set out in Chapter III, Section 2;

(c) the description of the system architecture explaining how software components build on or feed into each other and integrate into the overall processing; the computational resources used to develop, train, test and validate the AI system;

(d) where relevant, the data requirements in terms of datasheets describing the training methodologies and techniques and the training data sets used, including a general description of these data sets, information about their provenance, scope and main characteristics; how the data was obtained and selected; labelling procedures (e.g. for supervised learning), data cleaning methodologies (e.g. outliers detection);

(e) assessment of the human oversight measures needed in accordance with Article 14, including an assessment of the technical measures needed to facilitate the interpretation of the outputs of AI systems by the deployers, in accordance with Article 13(3), point (d);

(f) where applicable, a detailed description of pre-determined changes to the AI system and its performance, together with all the relevant information related to the technical solutions adopted to ensure continuous compliance of the AI system with the relevant requirements set out in Chapter III, Section 2;

(g) the validation and testing procedures used, including information about the validation and testing data used and their main characteristics; metrics used to measure accuracy, robustness and compliance with other relevant requirements set out in Chapter III, Section 2, as well as potentially discriminatory impacts; test logs and all test reports dated and signed by the responsible persons, including with regard to predetermined changes as referred to under point (f);

(h) cybersecurity measures put in place;

3. Detailed information about the monitoring, functioning and control of the AI system, in particular with regard to: its capabilities and limitations in performance, including the degrees of accuracy for specific persons or groups of persons on which the system is intended to be used and the overall expected level of accuracy in relation to its intended purpose; the foreseeable unintended outcomes and sources of risks to health and safety, fundamental rights and discrimination in view of the intended purpose of the AI system; the human oversight measures needed in accordance with Article 14, including the technical measures put in place to facilitate the interpretation of the outputs of AI systems by the deployers; specifications on input data, as appropriate;

4. A description of the appropriateness of the performance metrics for the specific AI system;

5. A detailed description of the risk management system in accordance with Article 9;

6. A description of relevant changes made by the provider to the system through its lifecycle;

7. A list of the harmonised standards applied in full or in part the references of which have been published in the Official Journal of the European Union; where no such harmonised standards have been applied, a detailed description of the solutions adopted to meet the requirements set out in Chapter III, Section 2, including a list of other relevant standards and technical specifications applied;

8. A copy of the EU declaration of conformity referred to in Article 47;

9. A detailed description of the system in place to evaluate the AI system performance in the post-market phase in accordance with Article 72, including the post-market monitoring plan referred to in Article 72(3).

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The text used in this tool is the ‘Artificial Intelligence Act (Regulation (EU) 2024/1689), Official Journal version of 13 June 2024’. Interinstitutional File: 2021/0106(COD)