{"id":2867,"date":"2023-07-22T11:49:25","date_gmt":"2023-07-22T11:49:25","guid":{"rendered":"https:\/\/dailyai.com\/?p=2867"},"modified":"2023-07-22T23:19:29","modified_gmt":"2023-07-22T23:19:29","slug":"leading-ai-companies-commit-to-developing-watermarking-techniques","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2023\/07\/leading-ai-companies-commit-to-developing-watermarking-techniques\/","title":{"rendered":"Las principales empresas de IA se comprometen a desarrollar t\u00e9cnicas de marca de agua"},"content":{"rendered":"

En un intento de atajar las falsificaciones y la desinformaci\u00f3n, las siete empresas de inteligencia artificial que se han adherido esta semana al marco voluntario de Estados Unidos se han comprometido a poner marcas de agua a los contenidos generados por inteligencia artificial.<\/b><\/p>\n

Los participantes en la marco voluntario<\/a>anunciados por la Casa Blanca el 21 de junio, incluyen a Google, OpenAI, Microsoft, Meta, Amazon, Anthropic e Inflection. <\/span><\/p>\n

Como parte de ese marco, estas empresas se han comprometido a desarrollar marcas de agua para ayudar al p\u00fablico a identificar el origen de los contenidos generados por IA y reducir el enga\u00f1o. <\/span><\/p>\n

Al igual que una marca de agua convencional, una marca de agua AI se adjunta a una imagen, v\u00eddeo, archivo de audio o texto.\u00a0<\/span><\/p>\n

La marca de agua en los contenidos generados por IA podr\u00eda reducir las estafas, las falsas campa\u00f1as virales y la sextorsi\u00f3n. \"Esta marca de agua permitir\u00e1 que florezca la creatividad con IA, pero reducir\u00e1 los riesgos de fraude y enga\u00f1o\", afirma la Casa Blanca.\u00a0<\/span><\/p>\n

En un <\/span>entrada del blog<\/span><\/a> publicado poco despu\u00e9s de los anuncios de la Casa Blanca, OpenAI detall\u00f3 su acuerdo para \"desarrollar mecanismos s\u00f3lidos, incluidos sistemas de procedencia y\/o marcas de agua para contenidos sonoros o visuales\". Tambi\u00e9n desarrollar\u00e1 \"herramientas o APIs para establecer si un contenido se hizo con su sistema.\"<\/span><\/p>\n

Google planea mejorar la fiabilidad de la informaci\u00f3n integrando metadatos y \"otras t\u00e9cnicas innovadoras\" adem\u00e1s de la marca de agua.\u00a0<\/span><\/p>\n

La Casa Blanca anunci\u00f3 el viernes otras salvaguardias, como la realizaci\u00f3n de pruebas internas y externas de los sistemas de IA antes de su lanzamiento, el aumento de la inversi\u00f3n en ciberseguridad y el fomento de la colaboraci\u00f3n en todo el sector para reducir los riesgos de la IA.<\/span><\/p>\n

OpenAI dijo que estos compromisos marcan \"un paso importante en el avance de una gobernanza significativa y eficaz de la IA, tanto en EE.UU. como en todo el mundo.\" <\/span><\/p>\n

La empresa tambi\u00e9n prometi\u00f3 \"invertir en investigaci\u00f3n en \u00e1reas que puedan ayudar a informar la regulaci\u00f3n, como t\u00e9cnicas para evaluar capacidades potencialmente peligrosas en modelos de IA.\"<\/span><\/p>\n

Nick Clegg, Presidente de Asuntos Globales de Meta, se hizo eco de la opini\u00f3n de OpenAI y describi\u00f3 estos compromisos como un \"primer paso importante para garantizar el establecimiento de guardarra\u00edles responsables para la IA\".<\/span><\/p>\n

\u00bfFuncionar\u00e1n las marcas de agua AI?<\/span><\/h2>\n

La marca de agua en los contenidos generados por inteligencia artificial, aunque conceptualmente atractiva, dista mucho de ser infalible.\u00a0<\/span><\/p>\n

Las im\u00e1genes, los v\u00eddeos y las grabaciones de audio pueden llevar gr\u00e1ficos o sonidos diminutos y d\u00e9biles que indican su origen generado por la IA.<\/span><\/p>\n

Del mismo modo, la integraci\u00f3n de metadatos en los archivos generados por IA puede proporcionar informaci\u00f3n sobre la fuente y el proceso de creaci\u00f3n del contenido. Sin embargo, la eliminaci\u00f3n de las marcas de agua mediante otras herramientas de IA o la supresi\u00f3n de los metadatos probablemente resulten sencillas.\u00a0<\/span><\/p>\n

Si se pueden eliminar las marcas de agua, los contenidos generados por IA sin marca de agua ganan repentinamente legitimidad. La ausencia de una marca de agua podr\u00eda utilizarse para argumentar que una imagen es aut\u00e9ntica cuando en realidad no lo es.\u00a0<\/span><\/p>\n

Cuando se trata de texto generado por IA, no hay una soluci\u00f3n sencilla. A diferencia de las im\u00e1genes o el audio, el texto no se presta f\u00e1cilmente a incrustar marcas de agua.\u00a0<\/span><\/p>\n

El m\u00e9todo principal consiste en pasar el texto por detectores de IA, que analizan la perplejidad del texto -una medida de la probabilidad de que un modelo de IA prediga una secuencia determinada de palabras- para estimar si est\u00e1 generado por IA.\u00a0<\/span><\/p>\n

Los detectores de IA tienen sus defectos. Suelen arrojar altos \u00edndices de falsos positivos, lo que lleva a marcar err\u00f3neamente contenidos no generados por IA.\u00a0<\/span><\/p>\n

Este problema se agrava cuando se analizan textos escritos por personas cuya lengua materna no es el ingl\u00e9s, que pueden utilizar expresiones menos comunes o tener una sintaxis at\u00edpica, lo que aumenta a\u00fan m\u00e1s las tasas de falsos positivos.<\/span> Un estudio reciente<\/span><\/a> desaconseja el uso de detectores de IA en entornos educativos y de contrataci\u00f3n por estos motivos.<\/span><\/p>\n

Adem\u00e1s, a medida que evolucionan los modelos de IA, la l\u00ednea que separa los contenidos escritos por humanos de los escritos por la IA se vuelve cada vez m\u00e1s difusa. A medida que la IA mejore en la imitaci\u00f3n de los estilos de escritura humana, los detectores basados en la perplejidad ser\u00e1n menos fiables.\u00a0<\/span><\/p>\n

Aunque la marca de agua es un paso hacia la mejora de la transparencia y la rendici\u00f3n de cuentas en los contenidos generados por IA, no es una soluci\u00f3n sencilla y no sirve como elemento disuasorio definitivo ni como \"bala de plata\". <\/span><\/p>","protected":false},"excerpt":{"rendered":"

En un intento de hacer frente a las falsificaciones y la desinformaci\u00f3n, las siete empresas de inteligencia artificial que esta semana se han adherido al marco voluntario de EE.UU. se han comprometido a poner marcas de agua a los contenidos generados por IA. Entre los participantes en el marco voluntario, anunciado por la Casa Blanca el 21 de junio, se encuentran Google, OpenAI, Microsoft, Meta, Amazon, Anthropic e Inflection. Como parte de ese marco, estas empresas se han comprometido a desarrollar marcas de agua para ayudar al p\u00fablico a identificar el origen de los contenidos generados por IA y reducir el enga\u00f1o. Al igual que una marca de agua convencional, una marca de agua de IA se adjunta a una imagen, v\u00eddeo, archivo de audio o texto. La marca de agua en los contenidos generados por IA podr\u00eda reducir<\/p>","protected":false},"author":2,"featured_media":2869,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[102,121,93,91,92,239],"class_list":["post-2867","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-policy","tag-google","tag-microsoft","tag-openai","tag-policy","tag-regulation","tag-white-house"],"yoast_head":"\nLeading AI companies commit to developing watermarking techniques | DailyAI<\/title>\n<meta name=\"description\" content=\"In a bid to tackle deep fakes and misinformation, the 7 AI companies that agreed to a voluntary framework yesterday have pledged to develop technology that will watermark AI-generated content.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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