{"id":2548,"date":"2023-07-15T09:55:38","date_gmt":"2023-07-15T09:55:38","guid":{"rendered":"https:\/\/dailyai.com\/?p=2548"},"modified":"2023-07-15T10:14:51","modified_gmt":"2023-07-15T10:14:51","slug":"how-does-the-right-to-be-forgotten-rtbf-function-in-the-context-of-ai","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2023\/07\/how-does-the-right-to-be-forgotten-rtbf-function-in-the-context-of-ai\/","title":{"rendered":"\u00bfC\u00f3mo funciona el \"derecho al olvido\" en el contexto de la IA?"},"content":{"rendered":"

Un nuevo estudio revela las complejidades del \"derecho a ser olvidado\" (RTBF) del GDPR en el contexto de la IA.<\/b><\/p>\n

Este derecho, tambi\u00e9n conocido como derecho de supresi\u00f3n, otorga a las personas el poder de exigir a las empresas tecnol\u00f3gicas que eliminen permanentemente sus datos personales. Sin embargo, en el contexto de los grandes modelos ling\u00fc\u00edsticos (LLM) y los chatbots de IA, no hay una forma sencilla de revertir el entrenamiento del modelo para eliminar datos espec\u00edficos.\u00a0<\/span><\/p>\n

El derecho al olvido va m\u00e1s all\u00e1 del GDPR europeo. Existe legislaci\u00f3n comparable en Canad\u00e1 (CCPA), Jap\u00f3n (APPI) y varios otros pa\u00edses. Originalmente, los procedimientos de RTBF se dise\u00f1aron principalmente para los motores de b\u00fasqueda, lo que hac\u00eda relativamente sencillo para empresas como Google y Microsoft localizar y eliminar datos espec\u00edficos de sus \u00edndices web.<\/span><\/p>\n

Investigadores de la Unidad de Negocio Data61, una rama de la Agencia Nacional de Ciencia de Australia especializada en IA, rob\u00f3tica y ciberseguridad, exploraron RTBF para IA en un <\/span>estudio reciente<\/span><\/a>.<\/span><\/p>\n

Su objetivo era investigar si el RTBF podr\u00eda funcionar en una nueva era de modelos de IA entrenados en grandes cantidades de datos extra\u00eddos de Internet, y c\u00f3mo lo har\u00eda. Estos datos contienen nombres y probablemente otra informaci\u00f3n personal identificable (IPI).\u00a0<\/span><\/p>\n

En algunos casos, las IA pueden emitir informaci\u00f3n incorrecta o incluso difamatoria sobre las personas.\u00a0<\/span>En los \u00faltimos meses, OpenAI se ha visto envuelta en m\u00faltiples casos de difamaci\u00f3n<\/a>, con su salida alegando que un hombre cometi\u00f3 fraude y otro agresi\u00f3n sexual, lo que no es cierto en ninguno de los dos casos.\u00a0<\/span><\/p>\n

Para cualquiera de estas situaciones, borrar los datos que provocan las acusaciones deber\u00eda ser un m\u00ednimo absoluto.\u00a0<\/span><\/p>\n

Sin embargo, como se\u00f1alan los investigadores, los algoritmos de aprendizaje autom\u00e1tico no son tan sencillos como los motores de b\u00fasqueda.<\/span><\/p>\n

Destacan que los LLM almacenan y procesan la informaci\u00f3n \"de un modo completamente distinto\" al enfoque de indexaci\u00f3n utilizado por los motores de b\u00fasqueda.<\/span><\/p>\n

\u00bfY c\u00f3mo sabe siquiera si sus datos personales est\u00e1n contenidos en el modelo? Seg\u00fan los investigadores, los usuarios s\u00f3lo pueden conocer sus datos personales dentro de los LLM \"inspeccionando el conjunto de datos de entrenamiento original o, tal vez, incitando al modelo\". As\u00ed es como Mark Walters, de Georgia (EE.UU.), descubri\u00f3 que su nombre est\u00e1 relacionado con el fraude en algunos de los resultados de ChatGPT.\u00a0<\/span><\/p>\n

ChatGPT dijo de Walters: \"Mark Walters ('Walters') es un individuo que reside en Georgia... Walters ha incumplido estos deberes y responsabilidades, entre otras cosas, malversando y apropi\u00e1ndose indebidamente de los fondos y activos de SAF para su propio beneficio, y manipulando los registros financieros y extractos bancarios de SAF para ocultar sus actividades.\"<\/p>\n

Aunque los servicios de IA plantean retos al derecho al olvido, eso no significa que est\u00e9n exentos de respetar los derechos de privacidad.\u00a0<\/span><\/p>\n

Los investigadores proponen varias estrategias para eliminar datos de los modelos de entrenamiento de IA, como la t\u00e9cnica SISA de \"desaprendizaje de m\u00e1quinas\", el desaprendizaje inductivo de grafos y la eliminaci\u00f3n aproximada de datos, entre otras.\u00a0<\/span><\/p>\n

Estos m\u00e9todos podr\u00edan permitir a los desarrolladores de IA sondear de forma fiable sus conjuntos de datos y eliminar datos espec\u00edficos para mantener el RTBF.<\/span><\/p>\n

\u00bfPuede eliminar sus datos de modelos de IA como ChatGPT?<\/span><\/h2>\n

OpenAI ha introducido procedimientos para que los particulares puedan solicitar la supresi\u00f3n de datos personales en modelos de IA y excluirse del uso futuro de datos para el entrenamiento de la IA.\u00a0<\/span><\/p>\n

Este art\u00edculo<\/span><\/a> cubre varios aspectos de la pol\u00edtica de privacidad de OpenAI, incluido el derecho de supresi\u00f3n, que puede solicitarse a trav\u00e9s de <\/span>este formulario<\/span><\/a>. La tramitaci\u00f3n espec\u00edfica de estas solicitudes sigue siendo nebulosa, y hay pocas pruebas de personas que hayan presentado reclamaciones de RTBF con \u00e9xito.\u00a0<\/span><\/p>\n

Adem\u00e1s, los usuarios pueden presentar una solicitud de acceso de los interesados (DSAR) para ejercer los derechos que les otorga el GDPR, como la correcci\u00f3n, restricci\u00f3n o transferencia de datos.\u00a0<\/span><\/p>\n

Sin embargo, OpenAI se\u00f1al\u00f3 que corregir los datos inexactos generados por sus modelos es actualmente inviable, por lo que la eliminaci\u00f3n ser\u00eda probablemente la soluci\u00f3n.<\/span><\/p>\n

A pesar de estos mecanismos, OpenAI advirti\u00f3 de que podr\u00eda denegar las solicitudes o actuar s\u00f3lo parcialmente en funci\u00f3n de las limitaciones legales y el equilibrio entre las solicitudes de privacidad y la libertad de expresi\u00f3n.<\/span><\/p>\n

OpenAI tambi\u00e9n ofrece una opci\u00f3n de exclusi\u00f3n para los usuarios que no deseen que sus datos se utilicen para el entrenamiento de IA a trav\u00e9s de la configuraci\u00f3n de la cuenta de ChatGPT.<\/span><\/p>\n

OpenAI facilita la siguiente direcci\u00f3n de correo electr\u00f3nico para la correspondencia sobre este asunto: <\/span>dsar@openai.com<\/span><\/a>.<\/span><\/p>\n

Por supuesto, ChatGPT no es la \u00fanica IA entrenada con datos abiertos de Internet. Cualquiera que desee eliminar su informaci\u00f3n personal de los principales chatbots de IA p\u00fablicos debe ponerse en contacto con cada desarrollador por separado.<\/span><\/p>\n

La realidad es que la mayor\u00eda de los datos publicados en Internet est\u00e1n al alcance de las empresas de IA, y eliminar datos de los modelos es excepcionalmente dif\u00edcil.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Un nuevo estudio revela las complejidades del \"derecho al olvido\" (RTBF) del GDPR en el contexto de la IA. Este derecho, tambi\u00e9n conocido como derecho a la supresi\u00f3n, permite a las personas exigir a las empresas tecnol\u00f3gicas la eliminaci\u00f3n definitiva de sus datos personales. Sin embargo, en el contexto de los grandes modelos ling\u00fc\u00edsticos (LLM) y los chatbots de IA, no hay una forma sencilla de revertir el entrenamiento del modelo para eliminar datos espec\u00edficos. El derecho al olvido va m\u00e1s all\u00e1 del GDPR europeo. Existe legislaci\u00f3n comparable en Canad\u00e1 (CCPA), Jap\u00f3n (APPI) y otros pa\u00edses. Originalmente, los procedimientos de RTBF se dise\u00f1aron principalmente para los motores de b\u00fasqueda, por lo que resultaba relativamente sencillo<\/p>","protected":false},"author":2,"featured_media":2549,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[219,218,220,92],"class_list":["post-2548","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-policy","tag-data-protection","tag-gdpr","tag-privacy","tag-regulation"],"yoast_head":"\nHow does the "right to be forgotten" (RTBF) function in the context of AI? | DailyAI<\/title>\n<meta name=\"description\" content=\"A new study reveals the complexities of the GDPR\u2019s "right to be forgotten" (RTBF) in the context of AI.\" \/>\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\/2023\/07\/how-does-the-right-to-be-forgotten-rtbf-function-in-the-context-of-ai\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How does the "right to be forgotten" (RTBF) function in the context of AI? 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