+Artikel 111 AI-system som redan släppts ut på marknaden eller tagits i bruk och AI-modeller för allmänna ändamål som redan släppts ut på marknaden
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Artikel 111 AI-system som redan släppts ut på marknaden eller tagits i bruk och AI-modeller för allmänna ändamål som redan släppts ut på marknaden
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1. Översikt
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Artikel 111 1.
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Utan att det påverkar tillämpningen av artikel 5 enligt artikel 113.3 a ska AI-system som är komponenter i de stora it-system som inrättats genom de rättsakter som förtecknas i bilaga X och som har släppts ut på marknaden eller tagits i bruk före den 2 augusti 2027 bringas i överensstämmelse med denna förordning senast den 31 december 2030. De krav som fastställs i denna förordning ska beaktas vid den utvärdering av varje stort it-system inrättat genom de rättsakter förtecknade i bilaga X som ska utföras i enlighet med de rättsakterna och i de fall dessa rättsakter ersätts eller ändras.
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Artikel 111 2.
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Utan att det påverkar tillämpningen av artikel 5 enligt artikel 113 tredje stycket a ska denna förordning tillämpas på operatörer av andra AI-system med hög risk än de system som avses i punkt 1 i den här artikeln och som har släppts ut på marknaden eller tagits i bruk före den tillämpningsdag för kapitel III som avses i artikel 113, endast om dessa system från och med den dagen förändras betydligt när det gäller deras utformning. Under alla omständigheter ska leverantörer och tillhandahållare av AI-system med hög risk som är avsedda att användas av offentliga myndigheter vidta nödvändiga åtgärder för att uppfylla kraven och skyldigheterna enligt denna förordning senast den 2 augusti 2030.
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Artikel 111 3.
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Leverantörer av AI-modeller för allmänna ändamål som har släppts ut på marknaden före den 2 augusti 2025 ska vidta nödvändiga åtgärder för att uppfylla de skyldigheter som fastställs i denna förordning senast den 2 augusti 2027.
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Artikel 111 4.
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Leverantörer av AI-system, inbegripet AI-system för allmänna ändamål, som genererar syntetiskt ljud-, bild-, video- eller textinnehåll och som har släppts ut på marknaden före den 2 augusti 2026 ska vidta de åtgärder som krävs för att uppfylla skyldigheterna enligt artikel 50.2 senast den 2 december 2026.
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1.1 Referenser
1.2 Identifierade krav
1.3 Relaterade standarder
2. Identifierade krav
3. Relaterade standarder
Standarder
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Krav |
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SCF
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Product Conformity Governance
Description
Mechanisms exist to ensure developed Technology Assets, Applications and/or Services (TAAS) conform to applicable statutory and regulatory requirements, based on the product's and/or service's: (1) Use case(s); and (2) Geographic markets.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Identify laws/regulations applicable to any developed products (e.g., privacy, accessibility)
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ Regulatory requirements checklist for product development ∙ Legal review before release
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Product compliance requirements defined at project start ∙ Compliance validation before release ∙ Regulatory conformity records
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ Product conformity governance program (statutory, regulatory, certification requirements) ∙ Compliance gates in release management ∙ Conformity documentation (e.g., declarations of conformity)
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ Enterprise product compliance program covering statutory/regulatory conformity (e.g., EU CRA, FDA, UL 2900) ∙ Regulatory affairs and product security integration ∙ Conformity assessment and certification management
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
Technology Development & Acquisition (TDA) 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 TDA domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with TDA 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 TDA domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Technology development and acquisition-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Technology development and acquisition management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel. ▪ Secure development practices mostly conform to industry-recognized standards for secure engineering of Technology Assets, Applications and/or Services (TAAS) (e.g., OWASP, NIST SP 800-218 and NIST SP 800-160). ▪ An application development team, or similar function, uses a structured process to design, build and maintain secure configurations for test, development, staging and production environments.
Level 3 Well Defined
Technology Development & Acquisition (TDA) 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 TDA 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 TDA domain capabilities are well-documented and kept current by process owners. ▪ A software development team, or similar function, is appropriately staffed and supported to implement and maintain TDA domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of technology development and acquisition management (e.g., project management software, software escrow solution and software testing tools). ▪ 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 TDA 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 ensure developed Technology Assets, Applications and/or Services (TAAS) conform to applicable statutory and regulatory requirements, based on the product's and/or service's: (1) Use case(s); and (2) Geographic markets.
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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