+Article 47 EU declaration of conformity

Article 47 EU declaration of conformity

Article 47

EU declaration of conformity

1.   The provider shall draw up a written machine readable, physical or electronically signed EU declaration of conformity for each high-risk AI system, and keep it at the disposal of the national competent authorities for 10 years after the high-risk AI system has been placed on the market or put into service. The EU declaration of conformity shall identify the high-risk AI system for which it has been drawn up. A copy of the EU declaration of conformity shall be submitted to the relevant national competent authorities upon request.

2.   The EU declaration of conformity shall state that the high-risk AI system concerned meets the requirements set out in Section 2. The EU declaration of conformity shall contain the information set out in Annex V, and shall be translated into a language that can be easily understood by the national competent authorities of the Member States in which the high-risk AI system is placed on the market or made available.

3.   Where high-risk AI systems are subject to other Union harmonisation legislation which also requires an EU declaration of conformity, a single EU declaration of conformity shall be drawn up in respect of all Union law applicable to the high-risk AI system. The declaration shall contain all the information required to identify the Union harmonisation legislation to which the declaration relates.

4.   By drawing up the EU declaration of conformity, the provider shall assume responsibility for compliance with the requirements set out in Section 2. The provider shall keep the EU declaration of conformity up-to-date as appropriate.

5.   The Commission is empowered to adopt delegated acts in accordance with Article 97 in order to amend Annex V by updating the content of the EU declaration of conformity set out in that Annex, in order to introduce elements that become necessary in light of technical progress.

1. Übersicht

Bezeichnung Regulierung

1.1 Referenzen

1.2 Identifizierte Anforderungen

1.3 Related Standards

2. Identifizierte Anforderungen

Anforderungen
Source Anforderung

3. Related Standards

Standards
Source Anforderung
SCF Declaration of Conformity

Description

Mechanisms exist to generate a declaration of conformity for each conformity assessment, where the document:
(1) Is concise;
(2) Unambiguously reflects the current status;
(3) Is physically or electronically signed; and
(4) Where possible, is machine readable.

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Document applicable regulatory requirements in a checklist

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ Compliance checklist
∙ Annual compliance review

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Compliance management program
∙ Regulatory mapping
∙ Compliance calendar

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ GRC solution (e.g., SCFConnect, Cyturus, SureCloud, SimpleRisk, Ignyte, ZenGRC, Galvanize, MetricStream, Archer, etc.)
∙ Compliance team

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ GRC solution (e.g., SCFConnect, Cyturus, SureCloud, SimpleRisk, Ignyte, ZenGRC, Galvanize, MetricStream, Archer, etc.)
∙ Dedicated compliance team
∙ Automated compliance monitoring

SCR-CMM

Level 0 Not Performed

Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.

Level 1 Performed Informally

SCR-CMM Level 1 criteria definitions are not available for this control:
▪ A reasonable person would conclude this control requires a structured process.
▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.

Level 2 Planned Tracked

Compliance (CPL) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with CPL domain capabilities are formally documented and centrally-managed by the entity.
▪ Standardized Operating Procedures (SOP) associated with CPL domain capabilities are documented and maintained by process owners.
▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with CPL domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD).
▪ Compliance management controls-related controls are primarily administrative and preventative in nature (e.g., policies, standards, procedures & guidelines).
▪ Compliance management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.
▪ External compliance requirements for cybersecurity and data privacy are identified and documented, based on applicable laws, regulations and contractual obligations.
▪ A formal report is generated for each security assessment/audit with sufficient details to understand the organization's ability to demonstrate conformity with its requirements.

Level 3 Well Defined

Compliance (CPL) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with CPL domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function.
▪ Standardized Operating Procedures (SOP) associated with CPL domain capabilities are well-documented and kept current by process owners.
▪ A Governance, Risk & Compliance (GRC) team, or similar function, is appropriately staffed and supported to implement and maintain CPL domain capabilities.
▪ Technology is leveraged to enhance the efficiency and accuracy of governance, risk management and compliance operations (e.g., GRC platform).
▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with CPL domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls).
▪ An implemented and operational capability exists to generate a declaration of conformity for each conformity assessment, where the document:
(1) Is concise;
(2) Unambiguously reflects the current status;
(3) Is physically or electronically signed; and
(4) Where possible, is machine readable.

Level 4 Quantitatively Controlled

Utilize SCR-CMM Level 3 criteria definitions:
▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control.
▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.

Level 5 Continuously Improving

Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions:
▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control.
▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies.
▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
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