European Parliament and Council of the European Union
Publications Office of the European Union
PDF Author metadata field; not a claim of legal authorship
Canonicalization prevents byte-level ambiguity before artifact hashing.
Publications Office English PDF representation
The twin does not interpret the Act. It does not certify against it. It does not bind regulators or counsel. It provides a hash-anchored, structurally faithful, machine-legible representation of the controlling regulation, declared under an interpretive canon that constrains how it may be cited and a durability profile that names which adversaries the artifact is designed to survive.
Sovrient provides a machine-legible structural twin of Regulation (EU) 2024/1689 anchored to the ELI reference and a specific English consolidated PDF representation.
Sovrient provides a derived structural twin and evidence-mapping substrate for Regulation (EU) 2024/1689.
Every Sovrient evidence claim is bounded by what its declared artifacts operationally permit; any reading that exceeds the artifact-permitted scope is unsupported by this surface.
This artifact is not the controlling legal text.
This artifact does not interpret the Act.
This artifact does not certify against the Act.
This artifact does not bind regulators or counsel.
This artifact does not determine applicability of the Regulation.
This artifact does not determine risk classification under Article 6 or Annex III.
This artifact does not establish conformity or compliance.
This artifact does not substitute for legal counsel.
This artifact does not bind the European Commission or national competent authorities.
This artifact does not incorporate delegated acts, implementing acts, codes of practice, harmonised standards, case law, or national implementing legislation unless explicitly referenced.
Verifier must preserve the declared claim boundary when citing, evaluating, or re-judging this artifact, and must not extract substantive provisions in a manner that implies compliance, classification, or legal interpretation.
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Verifies that the artifact existed at a declared identifier, version, and anchor.
Verifies that the artifact canonicalizes and hashes to the declared digest.
Verifies that the artifact is being read under its declared claim boundary.
Verifies that extracted chapters, sections, articles, annexes, page ranges, and text digests correspond to the anchored representation.
Substantively evaluates a proposed use under the artifact's declared canon without transforming the artifact into legal advice or compliance certification.
AI Act evidence may be reviewed across product lifecycles, post-market monitoring, regulatory inquiry, civil action, and historical regulatory review.
ADP_NULL is permitted only for explicitly informational artifacts; this regulatory twin is not ADP_NULL.
Classification of AI systems as high-risk
Obligations of providers and deployers of high-risk AI systems and other parties
Notifying authorities and notified bodies
Standards, conformity assessment, certificates, registration
TRANSPARENCY OBLIGATIONS FOR PROVIDERS AND DEPLOYERS OF CERTAIN AI SYSTEMS
Obligations for providers of general-purpose AI models
Obligations of providers of general-purpose AI models with systemic risk
POST-MARKET MONITORING, INFORMATION SHARING AND MARKET SURVEILLANCE
Sharing of information on serious incidents
Supervision, investigation, enforcement and monitoring in respect of providers of general-purpose AI models
DELEGATION OF POWER AND COMMITTEE PROCEDURE
Classification rules for high-risk AI systems
Transparency and provision of information to deployers
Obligations of providers of high-risk AI systems
Corrective actions and duty of information
Authorised representatives of providers of high-risk AI systems
Responsibilities along the AI value chain
Obligations of deployers of high-risk AI systems
Fundamental rights impact assessment for high-risk AI systems
Application of a conformity assessment body for notification
Requirements relating to notified bodies
Presumption of conformity with requirements relating to notified bodies
Subsidiaries of notified bodies and subcontracting
Identification numbers and lists of notified bodies
Challenge to the competence of notified bodies
Conformity assessment bodies of third countries
Harmonised standards and standardisation deliverables
Presumption of conformity with certain requirements
Information obligations of notified bodies
Derogation from conformity assessment procedure
Transparency obligations for providers and deployers of certain AI systems
Classification of general-purpose AI models as general-purpose AI models with systemic risk
Authorised representatives of providers of general-purpose AI models
Detailed arrangements for, and functioning of, AI regulatory sand- boxes
Further processing of personal data for developing certain AI sys- tems in the public interest in the AI regulatory sandbox
Testing of high-risk AI systems in real world conditions outside AI regulatory sandboxes
Informed consent to participate in testing in real world conditions outside AI regulatory sandboxes
Measures for providers and deployers, in particular SMEs, including start-ups
Establishment and structure of the European Artificial Intelligence Board
Access to the pool of experts by the Member States
Designation of national competent authorities and single points of contact
EU database for high-risk AI systems listed in Annex III
Post-market monitoring by providers and post-market monitoring plan for high-risk AI systems
Market surveillance and control of AI systems in the Union market
Mutual assistance, market surveillance and control of general-pur- pose AI systems
Supervision of testing in real world conditions by market surveillance authorities
Powers of authorities protecting fundamental rights
Procedure at national level for dealing with AI systems presenting a risk
Procedure for dealing with AI systems classified by the provider as non-high-risk in application of Annex III
Compliant AI systems which present a risk
Right to lodge a complaint with a market surveillance authority
Right to explanation of individual decision-making
Reporting of infringements and protection of reporting persons
Enforcement of the obligations of providers of general-purpose AI models
Alerts of systemic risks by the scientific panel
Power to request documentation and information
Procedural rights of economic operators of the general-purpose AI model
Codes of conduct for voluntary application of specific requirements
Guidelines from the Commission on the implementation of this Regulation
Administrative fines on Union institutions, bodies, offices and agencies
Fines for providers of general-purpose AI models
Amendment to Regulation (EC) No 300/2008
Amendment to Regulation (EU) No 167/2013
Amendment to Regulation (EU) No 168/2013
AI systems already placed on the market or put into service and general-purpose AI models already placed on the marked
List of criminal offences referred to in Article 5(1)
High-risk AI systems referred to in Article 6(2)
Technical documentation referred to in Article 11(1)
Conformity assessment procedure based on internal control
Conformity based on assessment of QMS and technical documentation
Information for registration of high-risk AI systems
Information for registration relating to testing in real world conditions
Union legislative acts on large-scale IT systems in Freedom, Security and Justice
Technical documentation referred to in Article 53(1)(a) for providers of general-purpose AI models
Transparency information referred to in Article 53(1)(b)
Criteria for designation of general-purpose AI models with systemic risk
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ELI controls legal identity; byte drift checks operate on the Publications Office PDF witness representation.