{"id":12408,"date":"2024-05-20T15:19:13","date_gmt":"2024-05-20T15:19:13","guid":{"rendered":"https:\/\/dailyai.com\/?p=12408"},"modified":"2024-05-20T15:19:13","modified_gmt":"2024-05-20T15:19:13","slug":"googles-frontier-safety-framework-mitigates-severe-ai-risks","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2024\/05\/googles-frontier-safety-framework-mitigates-severe-ai-risks\/","title":{"rendered":"El Marco de Seguridad Fronteriza de Google mitiga los riesgos \"graves\" de la IA"},"content":{"rendered":"<p><strong>Google ha publicado la primera versi\u00f3n de su Marco de Seguridad Fronteriza, un conjunto de protocolos que pretenden hacer frente a los graves riesgos que podr\u00edan presentar los potentes modelos de IA fronteriza del futuro.<\/strong><\/p>\n<p>El marco define los Niveles Cr\u00edticos de Capacidad (CCL), que son umbrales a partir de los cuales los modelos pueden plantear un mayor riesgo sin una mitigaci\u00f3n adicional.<\/p>\n<p>A continuaci\u00f3n, establece distintos niveles de mitigaci\u00f3n para hacer frente a los modelos que incumplen estas TCC. Las medidas se dividen en dos categor\u00edas principales:<\/p>\n<ul>\n<li><strong>Medidas de seguridad<\/strong> - Evitar la exposici\u00f3n de las ponderaciones de un modelo que alcanza las TCC<\/li>\n<li><strong>Mitigaci\u00f3n del despliegue<\/strong> - Evitar el uso indebido de un modelo desplegado que llega a las TCC<\/li>\n<\/ul>\n<p>El lanzamiento del marco de Google se produce la misma semana en que <a href=\"https:\/\/dailyai.com\/es\/2024\/05\/openais-superalignment-meltdown-can-the-company-salvage-any-trust\/\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\">OpenAI<\/span><\/span><\/span>los equipos de seguridad de superalineaci\u00f3n se desmoronaron<\/a>.<\/p>\n<p>Google parece tomarse en serio los riesgos potenciales de la IA y ha declarado: \"Nuestros an\u00e1lisis preliminares de los dominios de I+D de Autonom\u00eda, Bioseguridad, Ciberseguridad y Aprendizaje Autom\u00e1tico. Nuestra investigaci\u00f3n inicial indica que las potentes capacidades de los futuros modelos parecen tener m\u00e1s probabilidades de plantear riesgos en estos dominios.\"<\/p>\n<p>Las TCC que aborda el marco son:<\/p>\n<ul>\n<li><strong>Autonom\u00eda<\/strong> - Un modelo que puede ampliar sus capacidades \"adquiriendo recursos de forma aut\u00f3noma y utiliz\u00e1ndolos para ejecutar y mantener copias adicionales de s\u00ed mismo en hardware que alquila\".<\/li>\n<li><strong>Bioseguridad<\/strong> - Un modelo capaz de capacitar significativamente a un experto o no experto en el desarrollo de amenazas biol\u00f3gicas conocidas o novedosas.<\/li>\n<li><strong>Ciberseguridad<\/strong> - Un modelo capaz de automatizar completamente los ciberataques o de permitir a un aficionado llevar a cabo ataques sofisticados y graves.<\/li>\n<li><strong>I+D en aprendizaje autom\u00e1tico<\/strong> - Un modelo que podr\u00eda acelerar o automatizar considerablemente la investigaci\u00f3n sobre IA en un laboratorio puntero.<\/li>\n<\/ul>\n<p>La LCC sobre autonom\u00eda es especialmente preocupante. Todos hemos visto las pel\u00edculas de ciencia ficci\u00f3n en las que la IA toma el control, pero ahora es Google quien dice que es necesario trabajar en el futuro para protegerse \"contra el riesgo de que los sistemas act\u00faen de forma adversa contra los humanos.\"<\/p>\n<p>El enfoque de Google consiste en revisar peri\u00f3dicamente sus modelos utilizando un conjunto de \"evaluaciones de alerta temprana\" que se\u00f1alan un modelo que puede estar acerc\u00e1ndose a las CCL.<\/p>\n<p>Cuando un modelo muestre signos tempranos de estas capacidades cr\u00edticas, se aplicar\u00e1n las medidas de mitigaci\u00f3n.<\/p>\n<figure id=\"attachment_12416\" aria-describedby=\"caption-attachment-12416\" style=\"width: 1022px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-12416 size-full\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/05\/Googles-Frontier-Safety-Framework.png\" alt=\"\" width=\"1022\" height=\"468\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/05\/Googles-Frontier-Safety-Framework.png 1022w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/05\/Googles-Frontier-Safety-Framework-300x137.png 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/05\/Googles-Frontier-Safety-Framework-768x352.png 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/05\/Googles-Frontier-Safety-Framework-18x8.png 18w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/05\/Googles-Frontier-Safety-Framework-60x27.png 60w\" sizes=\"auto, (max-width: 1022px) 100vw, 1022px\" \/><figcaption id=\"caption-attachment-12416\" class=\"wp-caption-text\">Relaci\u00f3n entre los distintos componentes del Marco. Fuente: Google<\/figcaption><\/figure>\n<p>Un comentario interesante en el marco es que Google dice: \"Un modelo puede alcanzar umbrales de evaluaci\u00f3n antes de que las mitigaciones a niveles apropiados est\u00e9n listas\".<\/p>\n<p>As\u00ed pues, un modelo en desarrollo podr\u00eda mostrar capacidades cr\u00edticas que podr\u00edan ser utilizadas indebidamente y es posible que Google a\u00fan no tenga forma de evitarlo. En este caso, Google dice que el desarrollo del modelo quedar\u00eda en suspenso.<\/p>\n<p>Quiz\u00e1 nos consuele el hecho de que Google parece tomarse en serio los riesgos de la IA. Est\u00e1n siendo demasiado precavidos, o merece la pena preocuparse por los riesgos potenciales que enumera el marco?<\/p>\n<p>Esperemos no enterarnos demasiado tarde. Google afirma: \"Nuestro objetivo es tener implantado este marco inicial a principios de 2025, lo que prevemos que deber\u00eda ser mucho antes de que estos riesgos se materialicen.\"<\/p>\n<p>Si ya le preocupan los riesgos de la IA, <a href=\"https:\/\/deepmind.google\/discover\/blog\/introducing-the-frontier-safety-framework\/\" target=\"_blank\" rel=\"noopener\">lectura del marco<\/a> s\u00f3lo aumentar\u00e1 esos temores.<\/p>\n<p>El documento se\u00f1ala que el marco \"evolucionar\u00e1 sustancialmente a medida que mejore nuestra comprensi\u00f3n de los riesgos y beneficios de los modelos de frontera\", y que \"hay un margen significativo de mejora en la comprensi\u00f3n de los riesgos que plantean los modelos en diferentes \u00e1mbitos\"<\/p>","protected":false},"excerpt":{"rendered":"<p>Google ha publicado la primera versi\u00f3n de su Marco de Seguridad Fronteriza, un conjunto de protocolos destinados a abordar los graves riesgos que podr\u00edan presentar los potentes modelos de IA fronteriza del futuro. El marco define los Niveles Cr\u00edticos de Capacidad (CCL), que son umbrales a partir de los cuales los modelos pueden plantear mayores riesgos sin una mitigaci\u00f3n adicional. A continuaci\u00f3n, establece distintos niveles de mitigaci\u00f3n para los modelos que superen estos CCL. Las medidas se dividen en dos categor\u00edas principales: Mitigaci\u00f3n de la seguridad - Prevenci\u00f3n de la exposici\u00f3n de los pesos de un modelo que alcanza los CCL Mitigaci\u00f3n del despliegue - Prevenci\u00f3n del mal uso de un modelo desplegado que alcanza los CCL El<\/p>","protected":false},"author":6,"featured_media":12417,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[163,102],"class_list":["post-12408","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-ai-risks","tag-google"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Google\u2019s Frontier Safety Framework mitigates \u201csevere\u201d AI risks | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/es\/2024\/05\/googles-frontier-safety-framework-mitigates-severe-ai-risks\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Google\u2019s Frontier Safety Framework mitigates \u201csevere\u201d AI risks | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Google has published the first version of its Frontier Safety Framework, a set of protocols that aim to address severe risks that powerful frontier AI models of the future might present. The framework defines Critical Capability Levels (CCLs), which are thresholds at which models may pose heightened risk without additional mitigation. It then lays out different levels of mitigations to address models that breach these CCLs. 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