+Artículo 50 Obligaciones de transparencia de los proveedores y responsables del despliegue de determinados sistemas de IA
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Artículo 50 Obligaciones de transparencia de los proveedores y responsables del despliegue de determinados sistemas de IA
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1. Resumen
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Regulación |
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Artículo 50 1.
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Los proveedores garantizarán que los sistemas de IA destinados a interactuar directamente con personas físicas se diseñen y desarrollen de forma que las personas físicas de que se trate estén informadas de que están interactuando con un sistema de IA, excepto cuando resulte evidente desde el punto de vista de una persona física razonablemente informada, atenta y perspicaz, teniendo en cuenta las circunstancias y el contexto de utilización. Esta obligación no se aplicará a los sistemas de IA autorizados por ley para detectar, prevenir, investigar o enjuiciar delitos, con sujeción a las garantías adecuadas para los derechos y libertades de terceros, salvo que estos sistemas estén a disposición del público para denunciar un delito penal.
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Artículo 50 2.
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Los proveedores de sistemas de IA, entre los que se incluyen los sistemas de IA de uso general, que generen contenido sintético de audio, imagen, vídeo o texto, velarán por que los resultados de salida del sistema de IA estén marcados en un formato legible por máquina y que sea posible detectar que han sido generados o manipulados de manera artificial. Los proveedores velarán por que sus soluciones técnicas sean eficaces, interoperables, sólidas y fiables en la medida en que sea técnicamente viable, teniendo en cuenta las particularidades y limitaciones de los diversos tipos de contenido, los costes de aplicación y el estado actual de la técnica generalmente reconocido, según se refleje en las normas técnicas pertinentes. Esta obligación no se aplicará en la medida en que los sistemas de IA desempeñen una función de apoyo a la edición estándar o no alteren sustancialmente los datos de entrada facilitados por el responsable del despliegue o su semántica, o cuando estén autorizados por ley para detectar, prevenir, investigar o enjuiciar delitos.
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Artículo 50 3.
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Los responsables del despliegue de un sistema de reconocimiento de emociones o de un sistema de categorización biométrica informarán del funcionamiento del sistema a las personas físicas expuestas a él y tratarán sus datos personales de conformidad con los Reglamentos (UE) 2016/679 y (UE) 2018/1725 y con la Directiva (UE) 2016/680, según corresponda. Esta obligación no se aplicará a los sistemas de IA utilizados para la categorización biométrica y el reconocimiento de emociones que hayan sido autorizados por ley para detectar, prevenir e investigar delitos, con sujeción a las garantías adecuadas para los derechos y libertades de terceros y de conformidad con el Derecho de la Unión.
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Artículo 50 4.
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►C1
Los responsables del despliegue de un sistema de IA que genere o manipule imágenes o contenidos de audio o vídeo que constituyan una ultrafalsificación harán público que estos contenidos o imágenes han sido generados o manipulados de manera artificial. Esta obligación no se aplicará cuando la ley autorice su uso para para detectar, prevenir, investigar o enjuiciar delitos. ◄ Cuando el contenido forme parte de una obra o programa manifiestamente creativos, satíricos, artísticos, de ficción o análogos, las obligaciones de transparencia establecidas en el presente apartado se limitarán a la obligación de hacer pública la existencia de dicho contenido generado o manipulado artificialmente de una manera adecuada que no dificulte la exhibición o el disfrute de la obra. Los responsables del despliegue de un sistema de IA que genere o manipule texto que se publique con el fin de informar al público sobre asuntos de interés público divulgarán que el texto se ha generado o manipulado de manera artificial. Esta obligación no se aplicará cuando el uso esté autorizado por ley para detectar, prevenir, investigar o enjuiciar delitos, o cuando el contenido generado por IA haya sido sometido a un proceso de revisión humana o de control editorial y cuando una persona física o jurídica tenga la responsabilidad editorial por la publicación del contenido.
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Artículo 50 5.
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La información a que se refieren los apartados 1 a 4 se facilitará a las personas físicas de que se trate de manera clara y distinguible a más tardar con ocasión de la primera interacción o exposición. La información se ajustará a los requisitos de accesibilidad aplicables.
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Artículo 50 6.
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Los apartados 1 a 4 no afectarán a los requisitos y obligaciones establecidos en el capítulo III y se entenderán sin perjuicio de otras obligaciones de transparencia establecidas en el Derecho nacional o de la Unión para los responsables del despliegue de sistemas de IA.
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Artículo 50 7.
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La Comisión fomentará y facilitará la elaboración de códigos de buenas prácticas en el ámbito de la Unión para promover la aplicación efectiva de las obligaciones relativas a la detección, el marcado y el etiquetado de contenidos generados o manipulados de manera artificial. La Comisión, teniendo en cuenta en la mayor medida posible el dictamen del Consejo de IA, evaluará si la observancia de dichos códigos de buenas prácticas es adecuada para garantizar el cumplimiento de las obligaciones previstas en los apartados 2 y 4 del presente artículo, de conformidad con el procedimiento establecido en el artículo 56, apartado 6. Si considera que el código de buenas prácticas es inadecuado, la Comisión podrá adoptar un acto de ejecución que especifique normas comunes para el cumplimiento de dichas obligaciones de conformidad con el procedimiento de examen establecido en el artículo 98, apartado 2.
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1.1 Referencias
1.2 Requisitos identificados
1.3 Estándares relacionados
2. Requisitos identificados
Requisitos
| Fuente |
Requisito |
3. Estándares relacionados
Estándares
| Fuente |
Requisito |
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SCF
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AI & Autonomous Technologies Output Marking
Description
Mechanisms exist to mark output from Artificial Intelligence (AI) and Autonomous Technologies (AAT) in a machine-readable format so it is detectable as artificially generated or manipulated.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Label AI-generated content when distributing it
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ Policy requiring labeling of AI-generated content
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Formal AI content marking policy ∙ Machine-readable metadata for AI content
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ AI content marking program ∙ Technical implementation of C2PA or similar standards
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ Enterprise AI content marking framework ∙ C2PA standard implementation ∙ Automated content marking in AI pipelines
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
Artificial Intelligence and Autonomous Technology (AAT) domain capabilities are ad hoc and inconsistent. Capability criteria associated with this control may include: ▪ Policies, standards & procedures associated with AAT domain capabilities provide limited coverage due to the depth and breadth of the existing documentation. ▪ AAT-related processes are expected to follow the organization's existing processes (e.g., incident response, asset management, change control and risk assessments). ▪ No formal Governance, Risk & Compliance (GRC) team exists to provide AAT oversight, where the Chief Information Officer (CIO), or similar function, governs technology decisions what is acceptable for AAT within the organization.
Level 2 Planned Tracked
Artificial Intelligence and Autonomous Technology (AAT) 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 AAT domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with AAT 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 AAT domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Artificial Intelligence (AI)-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Asset management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.
Level 3 Well Defined
Artificial Intelligence and Autonomous Technology (AAT) 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 AAT 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 AAT domain capabilities are well-documented and kept current by process owners. ▪ An Artificial Intelligence Governance (AIG) team, or similar function, is appropriately staffed and supported to implement and maintain AAT domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of AI governance, risk management and compliance operations (e.g., dedicated AI governance 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 AAT 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 mark output from AAT in a machine-readable format so it is detectable as artificially generated or manipulated.
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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SCF
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AI & Autonomous Technologies Use Notification To Users
Description
Mechanisms exist to ensure Artificial Intelligence (AI) and Autonomous Technologies (AAT) that make decisions, or assist in making decisions, inform the people in a clear manner that they are: (1) Utilizing an AAT solution; and (2) Expected to validate the output for relevance and accuracy.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Inform users when AI is making or assisting decisions affecting them
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ User notification policy for AI-assisted decisions
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Formal user notification policy and procedures for AI decision support
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ AI user transparency program ∙ Automated user notifications for AI decisions
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ Enterprise AI user transparency framework ∙ Automated disclosure mechanisms ∙ Regulatory compliance (EU AI Act, GDPR)
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
Artificial Intelligence and Autonomous Technology (AAT) domain capabilities are ad hoc and inconsistent. Capability criteria associated with this control may include: ▪ Policies, standards & procedures associated with AAT domain capabilities provide limited coverage due to the depth and breadth of the existing documentation. ▪ AAT-related processes are expected to follow the organization's existing processes (e.g., incident response, asset management, change control and risk assessments). ▪ No formal Governance, Risk & Compliance (GRC) team exists to provide AAT oversight, where the Chief Information Officer (CIO), or similar function, governs technology decisions what is acceptable for AAT within the organization.
Level 2 Planned Tracked
Artificial Intelligence and Autonomous Technology (AAT) 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 AAT domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with AAT 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 AAT domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Artificial Intelligence (AI)-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Asset management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.
Level 3 Well Defined
Artificial Intelligence and Autonomous Technology (AAT) 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 AAT 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 AAT domain capabilities are well-documented and kept current by process owners. ▪ An Artificial Intelligence Governance (AIG) team, or similar function, is appropriately staffed and supported to implement and maintain AAT domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of AI governance, risk management and compliance operations (e.g., dedicated AI governance 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 AAT 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 AAT that make decisions, or assist in making decisions, inform the people in a clear manner that they are: (1) Utilizing an AAT solution; and (2) Expected to validate the output for relevance and accuracy.
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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SCF
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AI & Autonomous Technologies Use Notification To Users
Description
Mechanisms exist to ensure Artificial Intelligence (AI) and Autonomous Technologies (AAT) that make decisions, or assist in making decisions, inform the people in a clear manner that they are: (1) Utilizing an AAT solution; and (2) Expected to validate the output for relevance and accuracy.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Inform users when AI is making or assisting decisions affecting them
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ User notification policy for AI-assisted decisions
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Formal user notification policy and procedures for AI decision support
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ AI user transparency program ∙ Automated user notifications for AI decisions
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ Enterprise AI user transparency framework ∙ Automated disclosure mechanisms ∙ Regulatory compliance (EU AI Act, GDPR)
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
Artificial Intelligence and Autonomous Technology (AAT) domain capabilities are ad hoc and inconsistent. Capability criteria associated with this control may include: ▪ Policies, standards & procedures associated with AAT domain capabilities provide limited coverage due to the depth and breadth of the existing documentation. ▪ AAT-related processes are expected to follow the organization's existing processes (e.g., incident response, asset management, change control and risk assessments). ▪ No formal Governance, Risk & Compliance (GRC) team exists to provide AAT oversight, where the Chief Information Officer (CIO), or similar function, governs technology decisions what is acceptable for AAT within the organization.
Level 2 Planned Tracked
Artificial Intelligence and Autonomous Technology (AAT) 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 AAT domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with AAT 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 AAT domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Artificial Intelligence (AI)-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Asset management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.
Level 3 Well Defined
Artificial Intelligence and Autonomous Technology (AAT) 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 AAT 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 AAT domain capabilities are well-documented and kept current by process owners. ▪ An Artificial Intelligence Governance (AIG) team, or similar function, is appropriately staffed and supported to implement and maintain AAT domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of AI governance, risk management and compliance operations (e.g., dedicated AI governance 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 AAT 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 AAT that make decisions, or assist in making decisions, inform the people in a clear manner that they are: (1) Utilizing an AAT solution; and (2) Expected to validate the output for relevance and accuracy.
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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SCF
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AI & Autonomous Technologies Use Notification To Users
Description
Mechanisms exist to ensure Artificial Intelligence (AI) and Autonomous Technologies (AAT) that make decisions, or assist in making decisions, inform the people in a clear manner that they are: (1) Utilizing an AAT solution; and (2) Expected to validate the output for relevance and accuracy.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Inform users when AI is making or assisting decisions affecting them
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ User notification policy for AI-assisted decisions
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Formal user notification policy and procedures for AI decision support
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ AI user transparency program ∙ Automated user notifications for AI decisions
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ Enterprise AI user transparency framework ∙ Automated disclosure mechanisms ∙ Regulatory compliance (EU AI Act, GDPR)
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
Artificial Intelligence and Autonomous Technology (AAT) domain capabilities are ad hoc and inconsistent. Capability criteria associated with this control may include: ▪ Policies, standards & procedures associated with AAT domain capabilities provide limited coverage due to the depth and breadth of the existing documentation. ▪ AAT-related processes are expected to follow the organization's existing processes (e.g., incident response, asset management, change control and risk assessments). ▪ No formal Governance, Risk & Compliance (GRC) team exists to provide AAT oversight, where the Chief Information Officer (CIO), or similar function, governs technology decisions what is acceptable for AAT within the organization.
Level 2 Planned Tracked
Artificial Intelligence and Autonomous Technology (AAT) 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 AAT domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with AAT 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 AAT domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Artificial Intelligence (AI)-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Asset management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.
Level 3 Well Defined
Artificial Intelligence and Autonomous Technology (AAT) 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 AAT 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 AAT domain capabilities are well-documented and kept current by process owners. ▪ An Artificial Intelligence Governance (AIG) team, or similar function, is appropriately staffed and supported to implement and maintain AAT domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of AI governance, risk management and compliance operations (e.g., dedicated AI governance 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 AAT 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 AAT that make decisions, or assist in making decisions, inform the people in a clear manner that they are: (1) Utilizing an AAT solution; and (2) Expected to validate the output for relevance and accuracy.
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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