- Art. 6Classification rules for high-risk AI systems
- Art. 7Amendments to Annex III
- Art. 8Compliance with the requirements
- Art. 9Risk management system
- Art. 10Data and data governance
- Art. 11Technical documentation
- Art. 12Record-keeping
- Art. 13Transparency and provision of information to deployers
- Art. 14Human oversight
- Art. 15Accuracy, robustness and cybersecurity
- Art. 16Obligations of providers of high-risk AI systems
- Art. 17Quality management system
- Art. 18Documentation keeping
- Art. 19Automatically generated logs
- Art. 20Corrective actions and duty of information
- Art. 21Cooperation with competent authorities
- Art. 22Authorised representatives of providers of high-risk AI systems
- Art. 23Obligations of importers
- Art. 24Obligations of distributors
- Art. 25Responsibilities along the AI value chain
- Art. 26Obligations of deployers of high-risk AI systems
- Art. 27Fundamental rights impact assessment for high-risk AI systems
- Art. 28Notifying authorities
- Art. 29Application of a conformity assessment body for notification
- Art. 30Notification procedure
- Art. 31Requirements relating to notified bodies
- Art. 32Presumption of conformity with requirements relating to notified bodies
- Art. 33Subsidiaries of notified bodies and subcontracting
- Art. 34Operational obligations of notified bodies
- Art. 35Identification numbers and lists of notified bodies
- Art. 36Changes to notifications
- Art. 37Challenge to the competence of notified bodies
- Art. 38Coordination of notified bodies
- Art. 39Conformity assessment bodies of third countries
- Art. 40Harmonised standards and standardisation deliverables
- Art. 41Common specifications
- Art. 42Presumption of conformity with certain requirements
- Art. 43Conformity assessment
- Art. 44Certificates
- Art. 45Information obligations of notified bodies
- Art. 46Derogation from conformity assessment procedure
- Art. 47EU declaration of conformity
- Art. 48CE marking
- Art. 49Registration
- Art. 51Classification of general-purpose AI models as general-purpose AI models with systemic risk
- Art. 52Procedure
- Art. 53Obligations for providers of general-purpose AI models
- Art. 54Authorised representatives of providers of general-purpose AI models
- Art. 55Obligations of providers of general-purpose AI models with systemic risk
- Art. 56Codes of practice
- Art. 57AI regulatory sandboxes
- Art. 58Detailed arrangements for, and functioning of, AI regulatory sandboxes
- Art. 59Further processing of personal data for developing certain AI systems in the public interest in the AI regulatory sandbox
- Art. 60Testing of high-risk AI systems in real world conditions outside AI regulatory sandboxes
- Art. 60aTesting of high-risk AI systems covered by Union harmonisation legislation listed in Section B of Annex I in real-world conditions outside AI regulatory sandboxes
- Art. 61Informed consent to participate in testing in real world conditions outside AI regulatory sandboxes
- Art. 62Measures for providers and deployers, in particular SMEs, including start-ups
- Art. 63Derogations for specific operators
- Art. 64AI Office
- Art. 65Establishment and structure of the European Artificial Intelligence Board
- Art. 66Tasks of the Board
- Art. 67Advisory forum
- Art. 68Scientific panel of independent experts
- Art. 69Access to the pool of experts by the Member States
- Art. 70Designation of national competent authorities and single points of contact
- Art. 72Post-market monitoring by providers and post-market monitoring plan for high-risk AI systems
- Art. 73Reporting of serious incidents
- Art. 74Market surveillance and control of AI systems in the Union market
- Art. 75Market surveillance and control of AI systems and mutual assistance
- Art. 75aSupervisory and enforcement powers of the AI Office
- Art. 75bCommitments
- Art. 75cNon-compliance, fines and periodic penalty payments
- Art. 75dSafeguards and further specification
- Art. 76Supervision of testing in real world conditions by market surveillance authorities
- Art. 77Powers of authorities protecting fundamental rights and cooperation with market surveillance authorities
- Art. 78Confidentiality
- Art. 79Procedure at national level for dealing with AI systems presenting a risk
- Art. 80Procedure for dealing with AI systems classified by the provider as non-high-risk in application of Annex III
- Art. 81Union safeguard procedure
- Art. 82Compliant AI systems which present a risk
- Art. 83Formal non-compliance
- Art. 84Union AI testing support structures
- Art. 85Right to lodge a complaint with a market surveillance authority
- Art. 86Right to explanation of individual decision-making
- Art. 87Reporting of infringements and protection of reporting persons
- Art. 88Enforcement of the obligations of providers of general-purpose AI models
- Art. 89Monitoring actions
- Art. 90Alerts of systemic risks by the scientific panel
- Art. 91Power to request documentation and information
- Art. 92Power to conduct evaluations
- Art. 93Power to request measures
- Art. 94Procedural rights of economic operators of the general-purpose AI model
- Art. 102Amendment to Regulation (EC) No 300/2008
- Art. 103Amendment to Regulation (EU) No 167/2013
- Art. 104Amendment to Regulation (EU) No 168/2013
- Art. 105Amendment to Directive 2014/90/EU
- Art. 106Amendment to Directive (EU) 2016/797
- Art. 107Amendment to Regulation (EU) 2018/858
- Art. 108Amendments to Regulation (EU) 2018/1139
- Art. 109Amendment to Regulation (EU) 2019/2144
- Art. 110Amendment to Directive (EU) 2020/1828
- Art. 111AI systems already placed on the market or put into service and general-purpose AI models already placed on the marked
- Art. 112Evaluation and review
- Art. 113Entry into force and application
AI Act Article 10
Data and data governance
1.
High-risk AI systems which make use of techniques involving the training of AI models with data shall be developed on the basis of training, validation and testing data sets that meet the quality criteria referred to in paragraphs 2, 3 and 4 of this Article and in Article 4a(1) whenever such data sets are used.
2.
Training, validation and testing data sets shall be subject to data governance and management practices appropriate for the intended purpose of the high-risk AI system. Those practices shall concern in particular:
(a)
the relevant design choices;
(b)
data collection processes and the origin of data, and in the case of personal data, the original purpose of the data collection;
(c)
relevant data-preparation processing operations, such as annotation, labelling, cleaning, updating, enrichment and aggregation;
(d)
the formulation of assumptions, in particular with respect to the information that the data are supposed to measure and represent;
(e)
an assessment of the availability, quantity and suitability of the data sets that are needed;
(f)
examination in view of possible biases that are likely to affect the health and safety of persons, have a negative impact on fundamental rights or lead to discrimination prohibited under Union law, especially where data outputs influence inputs for future operations;
(g)
appropriate measures to detect, prevent and mitigate possible biases identified according to point (f);
(h)
the identification of relevant data gaps or shortcomings that prevent compliance with this Regulation, and how those gaps and shortcomings can be addressed.
3.
Training, validation and testing data sets shall be relevant, sufficiently representative, and to the best extent possible, free of errors and complete in view of the intended purpose. They shall have the appropriate statistical properties, including, where applicable, as regards the persons or groups of persons in relation to whom the high-risk AI system is intended to be used. Those characteristics of the data sets may be met at the level of individual data sets or at the level of a combination thereof.
4.
Data sets shall take into account, to the extent required by the intended purpose, the characteristics or elements that are particular to the specific geographical, contextual, behavioural or functional setting within which the high-risk AI system is intended to be used.
6.
For the development of high-risk AI systems not using techniques involving the training of AI models, paragraphs 2, 3 and 4 of this Article and Article 4a(1) shall apply only to the testing data sets.
