- 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 15
Accuracy, robustness and cybersecurity
1.
High-risk AI systems shall be designed and developed in such a way that they achieve an appropriate level of accuracy, robustness, and cybersecurity, and that they perform consistently in those respects throughout their lifecycle.
2.
To address the technical aspects of how to measure the appropriate levels of accuracy and robustness set out in paragraph 1 and any other relevant performance metrics, the Commission shall, in cooperation with relevant stakeholders and organisations such as metrology and benchmarking authorities, encourage, as appropriate, the development of benchmarks and measurement methodologies.
3.
The levels of accuracy and the relevant accuracy metrics of high-risk AI systems shall be declared in the accompanying instructions of use.
4.
High-risk AI systems shall be as resilient as possible regarding errors, faults or inconsistencies that may occur within the system or the environment in which the system operates, in particular due to their interaction with natural persons or other systems. Technical and organisational measures shall be taken in this regard.
The robustness of high-risk AI systems may be achieved through technical redundancy solutions, which may include backup or fail-safe plans.
High-risk AI systems that continue to learn after being placed on the market or put into service shall be developed in such a way as to eliminate or reduce as far as possible the risk of possibly biased outputs influencing input for future operations (feedback loops), and as to ensure that any such feedback loops are duly addressed with appropriate mitigation measures.
5.
High-risk AI systems shall be resilient against attempts by unauthorised third parties to alter their use, outputs or performance by exploiting system vulnerabilities.
The technical solutions aiming to ensure the cybersecurity of high-risk AI systems shall be appropriate to the relevant circumstances and the risks.
The technical solutions to address AI specific vulnerabilities shall include, where appropriate, measures to prevent, detect, respond to, resolve and control for attacks trying to manipulate the training data set (data poisoning), or pre-trained components used in training (model poisoning), inputs designed to cause the AI model to make a mistake (adversarial examples or model evasion), confidentiality attacks or model flaws.
