The deployment of AI systems in education is important to promote high-quality digital education and training and to allow all learners and teachers to acquire and share the necessary digital skills and competences, including media literacy, and critical thinking, to take an active part in the economy, society, and in democratic processes. However, AI systems used in education or vocational training, in particular for determining access or admission, for assigning persons to educational and vocational training institutions or programmes at all levels, for evaluating learning outcomes of persons, for assessing the appropriate level of education for an individual and materially influencing the level of education and training that individuals will receive or will be able to access or for monitoring and detecting prohibited behaviour of students during tests should be classified as high-risk AI systems, since they may determine the educational and professional course of a person’s life and therefore may affect that person’s ability to secure a livelihood. When improperly designed and used, such systems may be particularly intrusive and may violate the right to education and training as well as the right not to be discriminated against and perpetuate historical patterns of discrimination, for example against women, certain age groups, persons with disabilities, or persons of certain racial or ethnic origins or sexual orientation.
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 13: Transparency and Provision of Information to Deployers
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 and Subcontracting by Notified Bodies
Article 34: 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
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 45: Information Obligations of Notified Bodies
Article 46: Derogation from Conformity Assessment Procedure
Section 1: Classification Rules
Section 2: Obligations for Providers of General Purpose AI Models
Article 53: Obligations for Providers of General Purpose AI Models
Article 54: Authorised Representative
Section 3: Obligations for Providers of General Purpose AI Models with Systemic Risk
Article 55: Obligations for Providers of General-Purpose AI Models with Systemic Risk
Article 57: AI Regulatory Sandboxes
Article 58: Detailed arrangements for and functioning of AI regulatory sandboxes
Article 60: Testing of High-Risk AI Systems in Real World Conditions Outside AI Regulatory Sandboxes
Article 62: Measures for Providers and Deployers, in Particular SMEs, Including Start-Ups
Section 1: Governance at Union Level
Article 65: Establishment and Structure of the European Artificial Intelligence Board
Article 66: Tasks of the Board
Article 68: Scientific Panel of Independent Experts
Article 69: Access to the Pool of Experts by the Member States
Section 2: National Competent Authorities
Article 70: Designation of National Competent Authorities and Single Point of Contact
Section 1: Post-Market Monitoring
Section 2: Sharing of Information on Serious Incidents
Article 73: Reporting of Serious Incidents
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 79: Procedure for Dealing with AI Systems Presenting a Risk at National Level
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
Article 85: Right to Lodge a Complaint with a Market Surveillance Authority
Article 86: A Right to Explanation of Individual Decision-Making
Article 87: Reporting of Breaches and Protection of Reporting Persons
Article 88: Enforcement of Obligations on 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
Article 95: Codes of Conduct for Voluntary Application of Specific Requirements
Article 96: Guidelines from the Commission on the Implementation of this Regulation
Article 100: Administrative Fines on Union Institutions, Agencies and Bodies
Article 101: Fines for Providers of General Purpose AI Models
Article 102: Amendment to Regulation (EC) No 300/2008
Article 103: Amendment to Regulation (EU) No 167/2013
Article 104: Amendment to Regulation (EU) No 168/2013
Article 105: Amendment to Directive 2014/90/EU
Article 106: Amendment to Directive (EU) 2016/797
Article 107: Amendment to Regulation (EU) 2018/858
Article 108: Amendment to Regulation (EU) 2018/1139
Article 109: Amendment to Regulation (EU) 2019/2144
Article 110: Amendment to Directive (EU) 2020/1828
Article 111: AI Systems Already Placed on the Market or put into Service
Annexes
Annex I: List of Union Harmonisation Legislation
Annex II: List of Criminal Offences
Annex III: High-Risk AI Systems
Annex IV: Technical Documentation
Annex V: EU Declaration of Conformity
Annex VI: Conformity Assessment Procedure Based on Internal Control
Annex VII: Conformity Based on Assessment of Quality Management System and Assessment of Technical Documentation
Annex VIII: Information to be Submitted upon the Registration of High-Risk AI Systems
Annex IX: Information to be Submitted upon the Registration of High-Risk AI Systems
Annex X: Union Legislation on Large-Scale IT Systems in the Area of Freedom, Security and Justice
Annex XI: Technical Documentation Referred to in Article 53(1a)
Annex XII: Transparency Information Referred to in Article 53(1b)
Annex XIII: Criteria for the Designation of General Purpose AI models with Systemic Risk
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2 May 2024 – The AI Act Explorer has now been updated with content from the European Parliament's 'Corrigendum' version from 19 April 2024. The content of the Act is unlikely to change any further.
Recital 56
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The text used in this tool is the ‘Artificial Intelligence Act, Corrigendum, 19 April 2024’. Interinstitutional File: 2021/0106(COD)