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artificial","appliedCssClassNames":"summit-page",":type":"snowflake-site/components/structure/page"},{"id":"breadcrumb-a38026cb92-item-c8eaace418","link":{"valid":true,"url":"/es/artificial-intelligence/ai-governance/"},"active":false,"current":false,"title":"Gobernanza de la IA","appliedCssClassNames":"summit-page",":type":"snowflake-site/components/structure/page"},{"id":"breadcrumb-a38026cb92-item-4c0bbdb62d","link":{"valid":true,"url":"/es/artificial-intelligence/ai-governance/iso-42001/"},"active":true,"current":true,"title":"ISO 42001","appliedCssClassNames":"summit-page",":type":"snowflake-site/components/structure/page"}],":type":"snowflake-site/components/breadcrumb"}},":itemsOrder":["breadcrumb"]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false,"appliedCssClassNames":"snowflake-flexible-column-container-gray-10-bg"},"flexible_column_cont_939100716":{"id":"flexible-column-container-cb3f002664","propertiesId":"hub-hero","type":"2-column-even","alignColumns":"center","containerMaxWidth":"extra-large","topPadding":"extra-small","bottomPadding":"extra-small","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"page-section","backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-8b77303bde","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"title_v2":{"id":"title-v2-b37d902f4f","additionalClasses":"hub-hero__headline","type":"heading1","lines":["ISO/IEC 42001:2023: requisitos, controles y certificación"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment"},"text":{"id":"text-8a5ea94854","additionalClasses":"hub-hero__subheadline","text":"\u003Cp style=\"padding-top: 8.0px;\"\u003EISO/IEC 42001 ayuda a las organizaciones a hacer auditable la gobernanza de la IA mediante roles, controles, procesos de gestión de riesgos, auditorías y ciclos de mejora documentados. En este artículo se explica cómo funciona la norma, cómo se compara con el marco AI RMF del NIST y la Ley de IA de la UE, y cómo una plataforma certificada puede ayudar a las organizaciones a estructurar y gestionar las evidencias relacionadas con los datos, el ciclo de vida de la IA y los controles de gobernanza.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"container":{"additionalClasses":"hub-hero__authors","layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"content_chip_copy":"aem-GridColumn aem-GridColumn--default--12","content_chip":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 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Snowflake"],":type":"snowflake-site/components/title-v2"},":type":"snowflake-site/components/content-chip"},"content_chip":{"id":"content-chip-4e5047ffce","cta":{"id":"cta","showOutboundIcon":false,"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Leer la biografía"},"image":{"id":"image","height":"512","src":"/adobe/dynamicmedia/deliver/dm-aid--af497c82-10f0-4f45-805e-7f1c4677a824/david.jpg?quality=85&preferwebp=true","lazyEnabled":true,"alt":"David Gaule","isLcpImage":false,"width":"512",":type":"snowflake-site/components/image"},"headline":{"id":"title","type":"heading5","lines":["David Gaule","Editor técnico, Snowflake"],":type":"snowflake-site/components/title-v2"},":type":"snowflake-site/components/content-chip"}},":itemsOrder":["content_chip_copy","content_chip"]}},":itemsOrder":["title_v2","text","container"]},"flexible_column_content_container_2":{"additionalClasses":"hub-hero__video-column","layout":"SIMPLE","id":"container-5b0b54e1c0",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"youtube":{"id":"embed-9e1eccbcee","youtubeVideoId":"-HWNc-Hd90U","layout":"responsive","youtubeAspectRatio":"56.25","youtubeAutoPlay":false,"youtubeLoop":false,"youtubeMute":false,"youtubePlaysInline":false,"youtubeRel":false,"embeddableResourceType":"core/wcm/components/embed/v1/embed/embeddable/youtube","isLcpImage":true,"type":"EMBEDDABLE",":type":"snowflake-site/components/youtube"}},":itemsOrder":["youtube"]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false,"appliedCssClassNames":"snowflake-flexible-column-container-gray-10-bg"},"flexible_column_cont_1398138236":{"id":"flexible-column-container-8f1773cfdc","propertiesId":"hub-hero-related-topics","type":"1-column","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"extra-small","bottomPadding":"medium","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"page-section","backgroundImageOption":"none","flexible_column_content_container_1":{"additionalClasses":"related-topics-outer-container border-top","layout":"SIMPLE","id":"container-fd8d18d47f",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"text_894059747":{"id":"text-7b826133b4","additionalClasses":"seo-hub-hero__related-topic-label","text":"\u003Cp\u003ETemas sobre la gobernanza de la IA:\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"text":{"id":"text-1dc456c258","additionalClasses":"related-topics ","text":"\u003Cul\u003E\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/es/artificial-intelligence/ai-governance/ai-compliance/\"\u003ECumplimiento de la IA\u003C/a\u003E\u003C/li\u003E\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/es/artificial-intelligence/ai-governance/ai-ethics/\"\u003EÉtica de la IA\u003C/a\u003E\u003C/li\u003E\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/es/artificial-intelligence/ai-governance/ai-risk-management/\"\u003EGestión de riesgos de la IA\u003C/a\u003E\u003C/li\u003E\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/artificial-intelligence/ai-governance/ai-traceability/\"\u003ETrazabilidad de la IA\u003C/a\u003E\u003C/li\u003E\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/artificial-intelligence/ai-governance/ai-transparency/\"\u003ETransparencia de la IA\u003C/a\u003E\u003C/li\u003E\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/es/artificial-intelligence/ai-governance/algorithmic-bias/\"\u003ESesgo algorítmico\u003C/a\u003E\u003C/li\u003E\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/es/artificial-intelligence/ai-governance/eu-ai-act/\"\u003ELey de IA de la UE\u003C/a\u003E\u003C/li\u003E\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/es/artificial-intelligence/ai-governance/responsible-ai/\"\u003EIA responsable\u003C/a\u003E\u003C/li\u003E\n\u003C/ul\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small"}},":itemsOrder":["text_894059747","text"]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false,"appliedCssClassNames":"snowflake-flexible-column-container-gray-10-bg"},"flexible_column_cont_663228916":{"id":"flexible-column-container-a0c3fa3926","propertiesId":"hub-body","type":"2-column-60-40","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"medium","bottomPadding":"medium","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"page-section","backgroundImageOption":"none","flexible_column_content_container_1":{"additionalClasses":"longform-content","layout":"SIMPLE","id":"hub-body-content","appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"callout_what_is_ai_g":{"id":"text-3ff4217861","additionalClasses":"callout callout--general","text":"\u003Cp\u003E\u003Cb\u003EDEFINICIÓN DE ISO 42001\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003EISO/IEC 42001:2023 es una norma internacional que define los requisitos y las directrices para crear, mantener y mejorar de forma continua un sistema de gestión de inteligencia artificial (IA), de modo que las organizaciones puedan desarrollar, proporcionar o utilizar la IA de forma responsable.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"text_intro_0":{"id":"text-29e64f016e","text":"\u003Cp\u003EMuchos programas de \u003Ca href=\"https://www.snowflake.com/es/artificial-intelligence/ai-governance/\"\u003Egobernanza de la IA\u003C/a\u003E dan prioridad a las políticas, pero descuidan los procesos. Cuando los modelos pasan del desarrollo a la producción, se añade una nueva fuente de datos o un proveedor actualiza una función, los controles que parecían adecuados durante la implementación enseguida dejan de serlo, y no existe ningún mecanismo integrado para detectar ese desfase.\u003C/p\u003E\n\u003Cp\u003EISO/IEC 42001:2023 es la primera norma internacional para un sistema de gestión de IA y brinda ese modelo operativo a las organizaciones. Especifica cómo pueden las organizaciones establecer, implementar, mantener y mejorar continuamente los procesos utilizados para gobernar los \u003Ca href=\"https://www.snowflake.com/es/artificial-intelligence/\"\u003Esistemas de IA\u003C/a\u003E, de modo que la gobernanza de la IA deja de ser un documento para convertirse en un sistema de gestión auditable, con una asignación clara de responsabilidades, tratamiento de riesgos, ciclos de auditoría y requisitos de pruebas.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_sources_of_alg":{"id":"title-v2-f56e132a7d","additionalClasses":"anchor-title anchor-title--what-is-iso-42001","type":"heading2","lines":["¿Qué es ISO/IEC 42001?"],":type":"snowflake-site/components/title-v2"},"text_what-is-algorithmic-bias_0":{"id":"text-2201523130","text":"\u003Cp\u003E\u003Ca href=\"https://www.iso.org/standard/42001\" target=\"_blank\" rel=\"noopener noreferrer\"\u003EISO/IEC 42001:2023\u003C/a\u003E es una norma internacional que especifica los requisitos aplicables a un sistema de gestión de inteligencia artificial (AIMS). Un AIMS es el conjunto de políticas, roles, procesos, controles e información documentada que una organización utiliza para gobernar cómo se desarrollan, aprovisionan o usan los sistemas de IA.\u003C/p\u003E\r\n\u003Cp\u003EPublicada en diciembre de 2023 por ISO/IEC JTC 1/SC 42, la norma se aplica a distintos sectores y tipos de sistemas de IA, como el aprendizaje automático (ML) predictivo, la \u003Ca href=\"https://www.snowflake.com/es/artificial-intelligence/generative-ai/\"\u003EIA generativa\u003C/a\u003E y los \u003Ca href=\"https://www.snowflake.com/en/fundamentals/ai-agents/\"\u003Esistemas basados en agentes de IA\u003C/a\u003E. Puede aplicarse a organizaciones que proporcionan productos de IA, implementan sistemas de IA en procesos empresariales o utilizan sistemas de IA en entornos de producción.\u003C/p\u003E\r\n\u003Cp\u003EISO/IEC 42001 sigue la estructura armonizada que emplean otras normas ISO sobre sistemas de gestión, como ISO 27001 e ISO 9001. Esto resulta beneficioso porque las organizaciones cuyos sistemas de gestión ya han alcanzado cierta madurez suelen poder reutilizar prácticas conocidas, como definir el alcance, asignar las responsabilidades de la dirección, mantener información documentada, realizar auditorías internas, revisar el rendimiento e impulsar la mejora continua.\u003C/p\u003E\r\n\u003Cp\u003ELa norma también incluye los controles del anexo A, que abordan temas de gobernanza específicos de la IA, como las políticas de IA, la organización interna, los recursos, las evaluaciones de impacto, los procesos del ciclo de vida, los datos, la información para las partes interesadas, el uso de sistemas de IA y las relaciones con terceros. Al igual que en ISO 27001, los controles del anexo A se basan en su aplicabilidad, por lo que las organizaciones documentan qué controles se aplican y por qué mediante una Declaración de aplicabilidad.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_sources-of-algorithmic-bias":{"id":"title-v2-b9e0ff0e14","additionalClasses":"anchor-title anchor-title--why-iso-42001-matters","type":"heading2","lines":["Por qué es importante ISO 42001"],":type":"snowflake-site/components/title-v2"},"text_sources-of-algorithmic-bias_0":{"id":"text-a123217c4d","text":"\u003Cp\u003EISO/IEC 42001 ofrece a las organizaciones una forma de demostrar que la gobernanza de la IA funciona en la práctica y no se limita a estar descrita. Esta distinción es importante cuando los clientes, los reguladores, los consejos de administración o los responsables de compras preguntan cómo controla una organización los sistemas de IA que crea o utiliza.\u003C/p\u003E\r\n\u003Ch3\u003EAtestación por tercera parte\u003C/h3\u003E\r\n\u003Cp\u003ELa certificación ofrece a las organizaciones garantías independientes de que su AIMS cumple los requisitos de la norma. ISO define la certificación como una garantía por escrito de un organismo independiente de que un producto, servicio o sistema cumple unos requisitos específicos. Para los equipos de IA, esto puede ayudar a demostrar que aplican prácticas de \u003Ca href=\"https://www.snowflake.com/es/artificial-intelligence/ai-governance/responsible-ai/\"\u003EIA responsable\u003C/a\u003E sin exponer detalles de modelos propietarios, arquitecturas internas ni datos confidenciales de los clientes.\u003C/p\u003E\r\n\u003Ch3\u003EApoyo a la adquisición\u003C/h3\u003E\r\n\u003Cp\u003EDado que las grandes organizaciones incorporan cada vez más preguntas sobre gobernanza de la IA en sus pliegos de condiciones y evaluaciones de riesgo de proveedores, ISO 42001 ofrece a proveedores y responsables del despliegue una norma reconocida a la que pueden remitirse. Un certificado no responde a todas las preguntas técnicas, pero puede reducir la ambigüedad sobre si la organización dispone de procesos formales de gobernanza de la IA, ciclos de auditoría y supervisión por parte de la dirección.\u003C/p\u003E\r\n\u003Ch3\u003EAlineación normativa\u003C/h3\u003E\r\n\u003Cp\u003ELa adopción de ISO 42001 es voluntaria, pero la estructura de su sistema de gestión se corresponde en gran medida con las nuevas expectativas normativas en materia de IA. La \u003Ca href=\"https://artificialintelligenceact.eu/\" target=\"_blank\" rel=\"noopener noreferrer\"\u003ELey de IA de la UE\u003C/a\u003E exige que los proveedores de sistemas de IA de alto riesgo mantengan sistemas documentados de gestión de la calidad y de gestión de riesgos, así como procesos de supervisión posterior a la comercialización. ISO 42001 puede proporcionar una base estructurada que las organizaciones pueden utilizar para respaldar sus iniciativas de cumplimiento de la IA: las políticas, los procedimientos y las pruebas que exigen esas obligaciones.\u003C/p\u003E\r\n\u003Ch3\u003ECadencia operativa\u003C/h3\u003E\r\n\u003Cp\u003ELa gobernanza de la IA necesita una cadencia. Las evaluaciones de riesgos quedan obsoletas, los datos cambian, el comportamiento de los modelos se desvía y los casos de uso empresariales se amplían. ISO 42001 formaliza esa cadencia mediante la planificación, la evaluación del rendimiento, la auditoría interna, la revisión por parte de la dirección, las medidas correctivas y la mejora continua.\u003C/p\u003E\r\n\u003Ch3\u003EConfianza de los clientes\u003C/h3\u003E\r\n\u003Cp\u003ELa certificación ISO/IEC 42001 demuestra a los clientes el compromiso de una organización con la \u003Ca href=\"https://www.snowflake.com/en/artificial-intelligence/ai-governance/ai-transparency/\"\u003Etransparencia\u003C/a\u003E, la responsabilidad y la confianza en las prácticas de seguridad de la IA. Por ejemplo, Snowflake ha obtenido la certificación ISO/IEC 42001 tras una auditoría independiente realizada por un tercero, y los clientes pueden acceder a las pruebas de auditoría relacionadas a través del \u003Ca href=\"https://trust.snowflake.com/\"\u003ESnowflake Compliance Center\u003C/a\u003E.\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_detecting-and-measuring-algorithmic-bias":{"id":"title-v2-cbaa30c640","additionalClasses":"anchor-title anchor-title--why-should-use-iso-42001","type":"heading2","lines":["¿Quién debe usar ISO 42001?"],":type":"snowflake-site/components/title-v2"},"text_detecting-and-measuring-algorithmic-bias_0":{"id":"text-a66c482f3d","text":"\u003Cp\u003EISO/IEC 42001 se aplica a las organizaciones que proporcionan, desarrollan, implementan o utilizan sistemas de IA. El riesgo de la IA no recae únicamente en quienes desarrollan los modelos. También puede surgir cuando una empresa configura un producto de software como servicio (SaaS) con IA, integra un sistema de IA en un flujo de trabajo, lo conecta a datos confidenciales o utiliza sus resultados para tomar decisiones que afectan a clientes, empleados u operaciones.\u003C/p\u003E\n\u003Cp\u003ELa norma resulta pertinente para varios tipos de organizaciones:\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003ELos \u003Cb\u003Eproveedores\u003C/b\u003E desarrollan sistemas de IA, productos con IA o servicios de IA que utilizan otras personas u organizaciones. Un proveedor puede crear un modelo de detección de fraude, un asistente de IA generativa, un sistema de visión artificial o una aplicación de IA integrada en un producto más amplio.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003ELos \u003Cb\u003Eresponsables del despliegue\u003C/b\u003E ponen en uso los sistemas de IA. Un responsable del despliegue puede configurar un servicio de IA proporcionado por un proveedor, integrarlo con sistemas internos, conectarlo a datos gobernados o definir el flujo de trabajo en el que los empleados utilizan los resultados de la IA.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003ELos \u003Cb\u003Eusuarios\u003C/b\u003E manejan sistemas de IA en entornos de producción. En la práctica, esto puede incluir equipos empresariales, organismos del sector público, organizaciones reguladas y funciones internas que utilizan la IA para el análisis, la automatización, el apoyo a la toma de decisiones o la generación de contenido.\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003EISO 42001 no se limita a ningún sector, pero su adopción temprana resulta especialmente pertinente para organizaciones del sector público, sectores regulados y empresas de productos de IA, ya que suelen afrontar mayores exigencias en cuanto a controles documentados, pruebas de adquisición y procesos de gobernanza justificables.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"callout_what_is_ai_g_294410134":{"id":"text-4fb029d127","additionalClasses":"callout callout--general","text":"\u003Cp\u003E\u003Cb\u003EERROR HABITUAL\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003ELa certificación ISO 42001 no debe tratarse como una casilla que se marca una sola vez. La gobernanza debe adaptarse a los cambios en los modelos, las fuentes de datos, los proveedores y los casos de uso mediante la supervisión, la revisión por parte de la dirección, las medidas correctivas y la mejora continua.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"title_mitigating-algorithmic-bias":{"id":"title-v2-802d5638b6","additionalClasses":"anchor-title anchor-title--the-ten-clauses-of-iso-42001","type":"heading2","lines":["Las 10 cláusulas de ISO/IEC 42001"],":type":"snowflake-site/components/title-v2"},"text_mitigating-algorithmic-bias_0":{"id":"text-c6e2b761bf","text":"\u003Cp\u003EISO/IEC 42001 sigue la estructura armonizada que utilizan las normas ISO sobre sistemas de gestión. Las cláusulas 1 a 3 definen el alcance, las referencias normativas y los términos y definiciones; las cláusulas 4 a 10 especifican los requisitos del sistema de gestión que una organización debe implantar y mantener.\u003C/p\u003E\r\n\u003Ch3\u003ECláusulas 1-3: alcance, referencias y definiciones\u003C/h3\u003E\r\n\u003Cp\u003ELas cláusulas iniciales establecen qué abarca la norma, qué referencias se aplican y cómo se definen los términos clave. Para los programas de gobernanza de la IA, este vocabulario común es importante porque los equipos de negocio, jurídicos, de ciencia de datos, ingeniería y seguridad suelen utilizar las mismas palabras con significados distintos. La norma proporciona a esos equipos un punto de referencia común para el AIMS.\u003C/p\u003E\r\n\u003Ch3\u003ECláusula 4: contexto de la organización\u003C/h3\u003E\r\n\u003Cp\u003ELa cláusula 4 exige que la organización comprenda los factores internos y externos que afectan a su sistema de gestión de la IA. Esto incluye las necesidades de las partes interesadas, las expectativas legales y normativas, los casos de uso de la IA, los límites organizativos y el alcance del AIMS.\u003C/p\u003E\r\n\u003Cp\u003EEn la práctica, una empresa debe saber qué sistemas de IA están incluidos en el AIMS, qué equipos son responsables de ellos, de qué fuentes de datos dependen y qué partes externas se ven afectadas por sus resultados.\u003C/p\u003E\r\n\u003Ch3\u003ECláusula 5: liderazgo\u003C/h3\u003E\r\n\u003Cp\u003ELa cláusula 5 aborda el compromiso de la dirección, la política de IA, los roles, las responsabilidades y la autoridad. Exige que los altos directivos integren la gobernanza de la IA en el sistema de gestión de la organización, en lugar de tratarla como un proceso secundario del que solo se encargan los equipos técnicos.\u003C/p\u003E\r\n\u003Cp\u003EEsto suele implicar designar responsables, aprobar una política de IA, coordinar las responsabilidades entre los equipos de negocio y técnicos, y garantizar que las personas con obligaciones de gobernanza tengan autoridad para cumplirlas.\u003C/p\u003E\r\n\u003Ch3\u003ECláusula 6: planificación\u003C/h3\u003E\r\n\u003Cp\u003ELa cláusula 6 aborda la planificación, incluida la evaluación de riesgos de la IA, el tratamiento de riesgos de la IA y los objetivos de IA. Las organizaciones deben identificar los riesgos y las oportunidades, decidir cómo abordarlos y definir objetivos medibles para el AIMS.\u003C/p\u003E\r\n\u003Cp\u003EUna evaluación de riesgos podría examinar la calidad de los datos, el rendimiento del modelo, la explicabilidad, la supervisión humana, la seguridad, la privacidad, el \u003Ca href=\"https://www.snowflake.com/es/artificial-intelligence/ai-governance/algorithmic-bias/\"\u003Esesgo algorítmico\u003C/a\u003E, la resiliencia operativa o el impacto posterior. El plan de tratamiento de riesgos vincula entonces esos riesgos con controles, responsables y pruebas.\u003C/p\u003E\r\n\u003Ch3\u003ECláusula 7: apoyo\u003C/h3\u003E\r\n\u003Cp\u003ELa cláusula 7 se centra en los recursos necesarios para operar el AIMS: competencia, concienciación, comunicación e información documentada. Una política no basta si los responsables de los modelos no saben cuándo realizar una evaluación de impacto, los revisores no pueden encontrar las pruebas necesarias o los usuarios empresariales no comprenden qué usos de la IA son aceptables.\u003C/p\u003E\r\n\u003Cp\u003EEn esta cláusula, las organizaciones definen la formación, las prácticas de documentación, los canales de comunicación y los registros que demuestran la actividad de gobernanza.\u003C/p\u003E\r\n\u003Ch3\u003ECláusula 8: operación\u003C/h3\u003E\r\n\u003Cp\u003ELa cláusula 8 aborda la planificación y el control operativos de los sistemas de IA. Aquí es donde los procesos del ciclo de vida se concretan: requisitos, decisiones de diseño, preparación de datos, verificación y validación, controles de despliegue, operación, supervisión y retirada.\u003C/p\u003E\r\n\u003Cp\u003EPor ejemplo, una organización puede necesitar un proceso documentado para aprobar un modelo antes de ponerlo en producción, cambiar sus datos de entrada, ampliar su uso a una nueva población o retirarlo cuando deje de cumplir las expectativas de la política o de rendimiento.\u003C/p\u003E\r\n\u003Ch3\u003ECláusula 9: evaluación del rendimiento\u003C/h3\u003E\r\n\u003Cp\u003ELa cláusula 9 exige supervisión, medición, análisis, evaluación, auditorías internas y revisión por parte de la dirección. La organización debe saber si el AIMS funciona y si los controles de gobernanza siguen siendo adecuados para sus sistemas de IA.\u003C/p\u003E\r\n\u003Cp\u003EEsto puede incluir pruebas de controles, hallazgos de auditoría, resultados de la supervisión de modelos, tendencias de incidentes, estado del tratamiento de riesgos y registros de las revisiones por parte de la dirección.\u003C/p\u003E\r\n\u003Ch3\u003ECláusula 10: mejora\u003C/h3\u003E\r\n\u003Cp\u003ELa cláusula 10 aborda la no conformidad, las medidas correctivas y la mejora continua. Cuando se detecta un hallazgo de auditoría, un incidente, un problema de supervisión o un fallo de proceso, la organización debe responder de forma estructurada.\u003C/p\u003E\r\n\u003Cp\u003EEsa respuesta suele incluir investigar la incidencia, corregir el problema inmediato, abordar las causas raíz y actualizar el AIMS para reducir la probabilidad de que el mismo fallo vuelva a producirse.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_regulatory-expectations-on-algorithmic-bias":{"id":"title-v2-c4f2f6628c","additionalClasses":"anchor-title anchor-title--annex-a-38-ai-specific-controls","type":"heading2","lines":["Anexo A: los 38 controles específicos de la IA"],":type":"snowflake-site/components/title-v2"},"text_regulatory-expectations-on-algorithmic-bias_0":{"id":"text-6283a372d0","text":"\u003Cp\u003EEl anexo A proporciona 38 controles específicos de la IA agrupados en categorías de control. Estos controles ayudan a las organizaciones a pasar de los requisitos del sistema de gestión a las prácticas operativas, pero no son automáticamente obligatorios en todos los contextos. Las organizaciones evalúan su aplicabilidad y documentan su justificación en una Declaración de aplicabilidad.\u003C/p\u003E\r\n\u003Ch3\u003EA.2. Políticas de IA\u003C/h3\u003E\r\n\u003Cp\u003EEl apartado A.2 aborda las políticas de IA, incluida la forma en que la organización define las expectativas sobre una IA responsable, asigna roles y gestiona la adquisición. Una política debe ser lo suficientemente específica como para orientar las decisiones sobre el desarrollo y el uso de la IA, por ejemplo, quién puede aprobar un sistema de IA, qué criterios de riesgo se aplican y cómo se revisan los sistemas de IA de terceros.\u003C/p\u003E\r\n\u003Ch3\u003EA.3. Organización interna\u003C/h3\u003E\r\n\u003Cp\u003EEl apartado A.3 se centra en la estructura de gobernanza, las líneas jerárquicas y la asignación de recursos. La gobernanza de la IA suele abarcar a responsables de negocio, equipos de datos, departamentos jurídicos y equipos de cumplimiento, seguridad, privacidad, adquisiciones y plataforma, por lo que el objetivo del control es hacer visible la rendición de cuentas antes de que surja un problema.\u003C/p\u003E\r\n\u003Ch3\u003EA.4. Recursos para los sistemas de IA\u003C/h3\u003E\r\n\u003Cp\u003EEl apartado A.4 aborda los recursos necesarios para desarrollar, implementar y operar sistemas de IA, incluidos los datos, las herramientas, la infraestructura, los recursos del sistema y la supervisión humana. En el caso de un sistema de IA en producción, esto puede incluir conjuntos de datos aprobados, entornos de desarrollo de modelos, herramientas de supervisión, flujos de trabajo de revisión y vías de escalado.\u003C/p\u003E\r\n\u003Ch3\u003EA.5. Evaluación del impacto de los sistemas de IA\u003C/h3\u003E\r\n\u003Cp\u003EEl apartado A.5 aborda las evaluaciones de impacto. Estas evaluaciones ayudan a las organizaciones a determinar cómo podría afectar un sistema de IA a personas, grupos, procesos empresariales o partes interesadas externas antes y después de la implementación.\u003C/p\u003E\r\n\u003Cp\u003EUna evaluación de impacto podría examinar si un sistema de IA influye en el acceso a un servicio, genera recomendaciones que afectan a las personas, trata atributos sensibles o crea una dependencia operativa en un flujo de trabajo crítico.\u003C/p\u003E\r\n\u003Ch3\u003EA.6. Ciclo de vida de los sistemas de IA\u003C/h3\u003E\r\n\u003Cp\u003EEl apartado A.6 aborda los procesos del ciclo de vida, incluidos los requisitos, el diseño, la verificación, la validación, la implementación, la operación y la retirada. La categoría de control refleja una realidad básica de la gobernanza: el riesgo de la IA cambia a medida que los sistemas avanzan por distintas etapas.\u003C/p\u003E\r\n\u003Cp\u003EUn modelo que parece aceptable durante el desarrollo puede comportarse de manera diferente después de conectarse a datos actualizados, recibir nuevos prompts, atender a una base de usuarios más amplia o pasar a formar parte de un flujo de trabajo automatizado.\u003C/p\u003E\r\n\u003Ch3\u003EA.7. Datos para los sistemas de IA\u003C/h3\u003E\r\n\u003Cp\u003EEl apartado A.7 aborda la adquisición, la calidad, la procedencia y la preparación de los datos. Estos controles son especialmente importantes porque los sistemas de IA suelen heredar riesgos de sus datos. Si un conjunto de entrenamiento, un contexto de prompt, una tabla de características o un corpus de recuperación carece de responsables, linaje, controles de calidad o restricciones de uso, puede resultar difícil confiar en los resultados del modelo o defenderlos.\u003C/p\u003E\r\n\u003Cp\u003ELos controles sólidos en esta categoría suelen exigir que los equipos documenten la procedencia de los datos, las transformaciones aplicadas, los umbrales de calidad pertinentes y las restricciones de uso que acompañan a los datos en los flujos de trabajo de IA.\u003C/p\u003E\r\n\u003Ch3\u003EA.8. Información para las partes interesadas\u003C/h3\u003E\r\n\u003Cp\u003EEl apartado A.8 aborda la información proporcionada a las partes interesadas, incluida la documentación, la comunicación y la elaboración de informes. En función del sistema de IA, esas partes pueden incluir clientes, organismos reguladores, revisores internos, usuarios empresariales, auditores o personas afectadas por los resultados del sistema.\u003C/p\u003E\r\n\u003Cp\u003EEsta categoría puede incluir documentación del modelo, instrucciones para los usuarios, comunicación de riesgos, limitaciones conocidas, informes de supervisión y procesos de comunicación de incidentes.\u003C/p\u003E\r\n\u003Ch3\u003EA.9. Uso de sistemas de IA\u003C/h3\u003E\r\n\u003Cp\u003EEl apartado A.9 se centra en el uso responsable y la retirada. Las organizaciones necesitan procesos que rijan cómo se utilizan los sistemas de IA una vez que están en producción, incluidos el uso aceptable, las responsabilidades de los usuarios, las expectativas de supervisión y los criterios de retirada.\u003C/p\u003E\r\n\u003Cp\u003EEsto es importante para la IA generativa y los sistemas de agentes de IA, en los que la misma capacidad subyacente puede utilizarse en distintos flujos de trabajo con perfiles de riesgo diferentes.\u003C/p\u003E\r\n\u003Ch3\u003EA.10. Relaciones con terceros y clientes\u003C/h3\u003E\r\n\u003Cp\u003EEl apartado A.10 aborda las responsabilidades de proveedores y clientes. Los sistemas de IA suelen depender de modelos externos, productos SaaS, proveedores de datos, partners de integración o clientes posteriores. Los controles ayudan a aclarar quién es responsable de cada aspecto, qué pruebas se requieren y cómo se revisan los cambios en los servicios de terceros.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"callout_what_is_ai_g_1310486392":{"id":"text-cae4bd1ac6","additionalClasses":"callout callout--general","text":"\u003Cp\u003E\u003Cb\u003ECONSEJO RÁPIDO\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003EEmpieza por definir los sistemas de IA incluidos en el alcance y las pruebas que necesitarás para demostrar que los controles funcionan, ya que la certificación ISO 42001 exige demostrar la gobernanza en la práctica, no solo disponer de políticas por escrito.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"title_how-snowflake-helps-organizations-address-algorithmic-bias":{"id":"title-v2-4a097eb9bc","additionalClasses":"anchor-title anchor-title--how-iso-42001-certification-works","type":"heading2","lines":["Cómo funciona la certificación ISO 42001"],":type":"snowflake-site/components/title-v2"},"text_how-snowflake-helps-organizations-address-algorithmic-bias_0":{"id":"text-594fac722d","text":"\u003Cp\u003ELa certificación ISO/IEC 42001 sigue el conocido proceso de certificación de sistemas de gestión que se utiliza para otras normas ISO. Los detalles varían según la organización, el alcance y el organismo de certificación, pero la mayoría de los programas siguen la misma secuencia básica.\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EAnálisis de preparación o de deficiencias:\u003C/b\u003E La organización evalúa sus prácticas actuales de gobernanza de la IA con respecto a los requisitos de ISO 42001. Esto suele revelar definiciones del alcance incompletas, responsabilidades sin documentar, evaluaciones de riesgos incoherentes, controles del ciclo de vida deficientes o pruebas de auditoría insuficientes.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EDesarrollo del AIMS:\u003C/b\u003E La organización establece o actualiza el AIMS. Esto incluye políticas, procedimientos, evaluaciones de riesgos, evaluaciones de impacto, controles del ciclo de vida, prácticas de documentación, formación, elaboración de informes y una Declaración de aplicabilidad para los controles del anexo A.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EAuditoría interna:\u003C/b\u003E Antes de la auditoría de certificación, la organización realiza una auditoría interna para comprobar si el AIMS cumple los requisitos y si los controles funcionan según lo descrito.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EAuditoría de certificación de la etapa 1: \u003C/b\u003EEl organismo de certificación revisa la preparación, el alcance y la documentación. El objetivo es determinar si la organización está preparada para la auditoría de implementación.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EAuditoría de certificación de la etapa 2:\u003C/b\u003E El auditor verifica que el AIMS está implementado y en funcionamiento. Esto puede incluir entrevistas, revisión de pruebas, muestreo, pruebas de los controles y examen de los registros de las revisiones por parte de la dirección.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EAuditorías de seguimiento y recertificación:\u003C/b\u003E La certificación no es un evento puntual. Las organizaciones suelen someterse a auditorías de seguimiento anuales y a una recertificación cada tres años, lo que refuerza el modelo de mejora continua de la norma.\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003ELas organizaciones pueden trabajar con organismos de certificación acreditados como BSI, Schellman, A-LIGN, Mazars, TÜV o DNV, en función de la ubicación geográfica, el alcance y la disponibilidad. El tiempo necesario para obtener la certificación varía mucho, pero muchas organizaciones deben prever un esfuerzo de entre 6 y 18 meses. Los plazos pueden ser más cortos si ya cuentan con sistemas de gestión maduros basados en ISO 27001, ISO 9001 u otras normas similares.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_bias-control-starts-before-the-model":{"id":"title-v2-14ee78076b","additionalClasses":"anchor-title anchor-title--iso-42001-compared-to-other-ai-frameworks","type":"heading2","lines":["Comparación de ISO 42001 con otros marcos de IA"],":type":"snowflake-site/components/title-v2"},"text_bias-control-starts-before-the-model_0":{"id":"text-9d0fe754e2","text":"\u003Cp\u003EISO 42001 no sustituye a todos los \u003Ca href=\"https://www.snowflake.com/en/fundamentals/ai-governance/framework/\"\u003Emarcos de gobernanza de la IA\u003C/a\u003E ni a todas las obligaciones legales. Funciona mejor cuando las organizaciones comprenden para qué se ha diseñado: establecer un sistema de gestión de la IA certificable.\u003C/p\u003E\n\u003Ctable\u003E\n\u003Cthead\u003E\u003Ctr\u003E\u003Cth\u003EMarco o norma\u003C/th\u003E\n\u003Cth\u003EQué es\u003C/th\u003E\n\u003Cth\u003ECómo se relaciona con ISO 42001\u003C/th\u003E\n\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cp\u003E\u003Cb\u003EAI RMF de NIST\u003C/b\u003E\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003EUn marco voluntario estadounidense para gestionar los riesgos de IA mediante las funciones Gobernar, Cartografiar, Medir y Gestionar\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003EEl AI RMF de NIST proporciona una metodología de gestión de riesgos; ISO 42001 proporciona la estructura certificable del AIMS.\u003C/p\u003E\n\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cp\u003E\u003Cb\u003ELey de IA de la UE\u003C/b\u003E\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003ELegislación vinculante de la UE para sistemas de IA, con obligaciones basadas en la categoría de riesgo\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003EISO 42001 es voluntaria, pero puede respaldar procesos de gestión de la calidad, gestión de riesgos y supervisión exigidos para los sistemas de IA de alto riesgo.\u003C/p\u003E\n\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cp\u003E\u003Cb\u003EISO/IEC 23894\u003C/b\u003E\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003EDirectrices para la gestión de riesgos de IA\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003EISO/IEC 23894 ayuda a las organizaciones a gestionar los riesgos específicos de la IA; ISO 42001 es la norma certificable de sistemas de gestión que puede incorporar esos procesos de gestión de riesgos.\u003C/p\u003E\n\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cp\u003E\u003Cb\u003EISO/IEC 22989\u003C/b\u003E\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003ETerminología y conceptos de IA\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003EISO/IEC 22989 facilita el uso de un vocabulario coherente sobre IA, lo que ayuda a los equipos a documentar y comunicarse dentro de un AIMS.\u003C/p\u003E\n\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cp\u003E\u003Cb\u003EISO/IEC 23053\u003C/b\u003E\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003EMarco conceptual para sistemas de IA que utilizan ML\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003EISO/IEC 23053 ayuda a describir los componentes y las funciones de los sistemas de IA; ISO 42001 rige el sistema de gestión en torno al desarrollo, la implementación y el uso de la IA.\u003C/p\u003E\n\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cp\u003E\u003Cb\u003ESOC 2\u003C/b\u003E\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003EUn informe de atestación de controles, utilizado habitualmente para la seguridad, la disponibilidad, la confidencialidad, la integridad del procesamiento y la privacidad\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003ESOC 2 puede proporcionar garantías sobre criterios de control seleccionados, mientras que ISO 42001 es una norma ISO de sistemas de gestión específica para la gobernanza de la IA.\u003C/p\u003E\n\u003C/td\u003E\n\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n\u003Cp\u003EMuchas organizaciones utilizarán estos marcos conjuntamente. Un equipo podría utilizar \u003Ca href=\"https://www.nist.gov/itl/ai-risk-management-framework\" target=\"_blank\"\u003EAI RMF de NIST\u003C/a\u003E para estructurar el análisis de riesgos de IA, ISO/IEC 23894 para profundizar en las prácticas de gestión de riesgos, ISO/IEC 22989 para armonizar el vocabulario e ISO 42001 para establecer el AIMS que permite que esas prácticas sean repetibles y auditables.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_bias_control_s":{"id":"title-v2-a5e1750055","additionalClasses":"anchor-title anchor-title--iso-42001-and-snowflake","type":"heading2","lines":["ISO/IEC 42001 y Snowflake"],":type":"snowflake-site/components/title-v2"},"text_bias_control_st":{"id":"text-adf2fa65d3","text":"\u003Cp\u003ESnowflake cuenta con la certificación ISO/IEC 42001, lo que significa que un tercero acreditado ha auditado el AIMS de Snowflake con arreglo a los requisitos de la norma sobre gobernanza responsable de la IA y que las pruebas de auditoría están disponibles para los clientes a través de Snowflake Compliance Center.\u003C/p\u003E\n\u003Cp\u003EPara los clientes que desarrollan sus propios programas ISO 42001, una plataforma certificada puede respaldar algunos aspectos del entorno de control de la gobernanza de datos e IA. No certifica el AIMS propio de un cliente, porque cada organización sigue siendo responsable de sus casos de uso de IA, evaluaciones de riesgos, evaluaciones de impacto, políticas y decisiones operativas. Sin embargo, puede ayudar a las organizaciones a estructurar las pruebas que demuestran que los controles fundamentales de datos e infraestructura están gobernados, documentados y son auditables.\u003C/p\u003E\n\u003Cp\u003ELas capacidades de Snowflake pueden respaldar varias áreas de control del anexo A:\u003C/p\u003E\n\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/en/product/features/horizon/\"\u003ESnowflake Horizon Catalog\u003C/a\u003E está diseñado para proporcionar una amplia \u003Ca href=\"https://www.snowflake.com/en/artificial-intelligence/ai-governance/ai-traceability/\"\u003Etrazabilidad\u003C/a\u003E y visibilidad, lo que ayuda a los equipos a gobernar datos, aplicaciones y modelos mediante metadatos, linaje, historial de acceso, clasificación, etiquetado y aplicación de políticas. Horizon permite gestionar la gobernanza de datos en Snowflake y el almacenamiento externo, y las funciones de historial de acceso y Time Travel facilitan la revisión de la actividad y los estados anteriores de los datos. Estas capacidades son pertinentes para los controles del anexo A relativos a los datos de IA, la documentación del ciclo de vida, la gobernanza del acceso y la elaboración de informes.\u003C/p\u003E\n\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/en/blog/snowflake-cortex-ai-cortex-guard-llm-safeguards/\"\u003ECortex Guard\u003C/a\u003E favorece un uso más seguro de los sistemas de IA al ayudar a filtrar las entradas y salidas de los large language models (LLM) que podrían ser inseguras, lo que puede respaldar los controles relacionados con la supervisión humana, el uso responsable y la información proporcionada a los usuarios.\u003C/p\u003E\n\u003Cp\u003EModel Registry ayuda a los equipos a gestionar los metadatos, las versiones y el contexto de implementación del ciclo de vida de los modelos, lo que respalda los controles relativos a la gobernanza del ciclo de vida, la documentación y la revisión operativa.\u003C/p\u003E\n\u003Cp\u003EEn conjunto, estas capacidades ayudan a las organizaciones a aplicar la gobernanza a los objetos de los que dependen los sistemas de IA: conjuntos de datos, modelos, políticas, rutas de linaje, historial de acceso, documentación y señales de uso. Esto es especialmente importante para ISO 42001 porque la certificación depende de las evidencias. Un equipo debe poder demostrar no solo que existe una política, sino también que los controles pertinentes se aplican, revisan y mejoran con el tiempo.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_bias_control_s_1606915274":{"id":"title-v2-607daa5ce1","additionalClasses":"anchor-title anchor-title--making-ai-governance-auditable","type":"heading2","lines":["Hacer auditable la gobernanza de la IA"],":type":"snowflake-site/components/title-v2"},"text_bias_control_st_2142513559":{"id":"text-61090bedcc","text":"\u003Cp\u003EISO 42001 ofrece a las organizaciones una forma práctica de llevar la gobernanza de la IA de los principios a los procesos. Un equipo aún debe decidir qué sistemas de IA están incluidos en el ámbito de aplicación, quién es responsable de ellos, qué riesgos son relevantes, qué controles se aplican y qué pruebas demuestran que esos controles funcionan. Pero la norma proporciona la estructura necesaria para tomar esas decisiones de manera coherente. \u003C/p\u003E\n\u003Cp\u003ECuando un sistema de IA se basa en datos gobernados, un ciclo de vida de los modelos documentado, una supervisión humana definida, controles de proveedores, evaluaciones de impacto, supervisión y medidas correctivas, la gobernanza pasa a formar parte del funcionamiento del sistema. Ese es el valor de ISO 42001: proporciona a los programas de IA un sistema de gestión que puede revisarse, auditarse y mejorarse a medida que evolucionan la tecnología, la organización y el entorno normativo.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"callout_what_is_ai_g_1939414635":{"id":"text-97bf8e1bd2","additionalClasses":"callout callout--general","text":"\u003Cp\u003E\u003Cb\u003ECONCLUSIÓN CLAVE\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003EISO/IEC 42001 ayuda a los equipos a transformar la gobernanza de la IA de un conjunto de políticas en un sistema de gestión auditable con responsables definidos, tratamiento de riesgos, controles, evidencias, auditorías internas y ciclos de mejora continua.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"}},":itemsOrder":["callout_what_is_ai_g","text_intro_0","title_sources_of_alg","text_what-is-algorithmic-bias_0","title_sources-of-algorithmic-bias","text_sources-of-algorithmic-bias_0","title_detecting-and-measuring-algorithmic-bias","text_detecting-and-measuring-algorithmic-bias_0","callout_what_is_ai_g_294410134","title_mitigating-algorithmic-bias","text_mitigating-algorithmic-bias_0","title_regulatory-expectations-on-algorithmic-bias","text_regulatory-expectations-on-algorithmic-bias_0","callout_what_is_ai_g_1310486392","title_how-snowflake-helps-organizations-address-algorithmic-bias","text_how-snowflake-helps-organizations-address-algorithmic-bias_0","title_bias-control-starts-before-the-model","text_bias-control-starts-before-the-model_0","title_bias_control_s","text_bias_control_st","title_bias_control_s_1606915274","text_bias_control_st_2142513559","callout_what_is_ai_g_1939414635"]},"flexible_column_content_container_2":{"additionalClasses":"hub-sidebar","layout":"SIMPLE","id":"hub-body-aside","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"container":{"additionalClasses":"sticky-sidebar","layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"text_943981956_copy_":"aem-GridColumn aem-GridColumn--default--12","text_copy":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-28ab232a40","appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium",":type":"snowflake-site/components/container",":items":{"text_943981956_copy_":{"id":"text-4d50867405","additionalClasses":"eyebrow-text","text":"\u003Cp\u003EEN ESTA GUÍA\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular"},"text_copy":{"id":"text-013fd55fae","additionalClasses":"page-toc","text":"\u003Cul\u003E\n\u003Cli data-anchor=\"what-is-iso-42001\"\u003E¿Qué es ISO/IEC 42001?\u003C/li\u003E\n\u003Cli data-anchor=\"why-iso-42001-matters\"\u003EPor qué es importante ISO 42001\u003C/li\u003E\n\u003Cli data-anchor=\"why-should-use-iso-42001\"\u003E¿Quién debe usar ISO 42001?\u003C/li\u003E\n\u003Cli data-anchor=\"the-ten-clauses-of-iso-42001\"\u003ELas 10 cláusulas de ISO/IEC 42001\u003C/li\u003E\n\u003Cli data-anchor=\"annex-a-38-ai-specific-controls\"\u003EAnexo A: los 38 controles específicos de la IA\u003C/li\u003E\n\u003Cli data-anchor=\"how-iso-42001-certification-works\"\u003ECómo funciona la certificación ISO 42001\u003C/li\u003E\n\u003Cli data-anchor=\"iso-42001-compared-to-other-ai-frameworks\"\u003EComparación de ISO 42001 con otros marcos de IA\u003C/li\u003E\n\u003Cli data-anchor=\"iso-42001-and-snowflake\"\u003EISO/IEC 42001 y Snowflake\u003C/li\u003E\n\u003Cli data-anchor=\"making-ai-governance-auditable\"\u003EHacer auditable la gobernanza de la IA\u003C/li\u003E\n\u003C/ul\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small 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frecuentes"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment"},"text_copy":{"id":"text-13ab76bf5e","additionalClasses":"hub-faq__subheadline","text":"\u003Cp\u003ELas preguntas más frecuentes sobre ISO/IEC 42001, respondidas por expertos de Snowflake.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2_copy","text_copy"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"hub-faq-accordions",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"simple_snowflake_acc":{"id":"simple-snowflake-accordion-382f332356","additionalClasses":"seo-hub__faqs","showDivider":false,"accordionItemsList":[{"title":"¿Es certificable ISO 42001?","richText":"\u003Cp\u003ESí. ISO/IEC 42001 es una norma certificable de sistemas de gestión. Los organismos de certificación acreditados pueden auditar el AIMS de una organización y emitir una certificación, normalmente con auditorías de seguimiento anuales y una recertificación cada tres años.\u003C/p\u003E\n"},{"title":"¿Cuánto tarda la certificación ISO 42001?","richText":"\u003Cp\u003ELa certificación ISO 42001 suele tardar entre 6 y 18 meses, según el ámbito de la organización, su madurez en IA y sus prácticas actuales de sistemas de gestión. \u003C/p\u003E\n"},{"title":"¿Es ISO 42001 un requisito de la Ley de IA de la UE?","richText":"\u003Cp\u003ENo. ISO 42001 es una norma de adopción voluntaria, mientras que la Ley de IA de la UE es jurídicamente vinculante. Sin embargo, ISO 42001 puede proporcionar una base sólida para prepararse para la Ley de IA de la UE, ya que esta incluye obligaciones relativas a los sistemas de gestión de la calidad, la gestión de riesgos, incluida la gestión de riesgos de modelos, y la supervisión posterior a la comercialización de los sistemas de IA de alto riesgo.\u003C/p\u003E\n"},{"title":"¿Qué relación hay entre ISO 42001 y el AI RMF de NIST?","richText":"\u003Cp\u003EISO 42001 y el AI RMF de NIST se complementan. El AI RMF de NIST es un marco voluntario para gestionar los riesgos de IA mediante las funciones Gobernar, Cartografiar, Medir y Gestionar. ISO 42001 es una norma internacional certificable de sistemas de gestión para la IA. Muchas organizaciones utilizan el AI RMF de NIST para la metodología de riesgos e ISO 42001 para la estructura del AIMS que hace auditable la gobernanza.\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n"}],":type":"snowflake-site/components/simple-snowflake-accordion"}},":itemsOrder":["simple_snowflake_acc"]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false},"flexible_column_cont_1467213961":{"id":"flexible-column-container-b7cfed45e8","propertiesId":"hub-explore-resources-header","type":"1-column","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"large","bottomPadding":"none","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-ddb06834cd",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"title_v2":{"id":"title-v2-1b4b91897f","additionalClasses":"hub-explore-resources-header__headline","type":"heading2","lines":["Explorar los recursos sobre 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