{"id":11426,"date":"2024-04-08T17:45:24","date_gmt":"2024-04-08T17:45:24","guid":{"rendered":"https:\/\/dailyai.com\/?p=11426"},"modified":"2024-04-09T08:28:17","modified_gmt":"2024-04-09T08:28:17","slug":"inside-big-techs-tussle-over-ai-training-data","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2024\/04\/inside-big-techs-tussle-over-ai-training-data\/","title":{"rendered":"La lucha de las grandes tecnol\u00f3gicas por los datos de entrenamiento de IA"},"content":{"rendered":"

En la fren\u00e9tica b\u00fasqueda de datos de entrenamiento de inteligencia artificial, los gigantes tecnol\u00f3gicos OpenAI, Google y Meta se han saltado al parecer las pol\u00edticas corporativas, han alterado sus normas y han hablado de eludir la ley de derechos de autor.\u00a0<\/b><\/p>\n

A <\/span>Investigaci\u00f3n del New York Times<\/span><\/a> revela hasta d\u00f3nde han llegado estas empresas para recopilar informaci\u00f3n en l\u00ednea con la que alimentar sus sistemas de IA \u00e1vidos de datos.<\/span><\/p>\n

A finales de 2021, los investigadores de OpenAI desarrollaron una herramienta de reconocimiento de voz llamada Whisper para transcribir v\u00eddeos de YouTube cuando se enfrentan a una escasez de datos de texto en ingl\u00e9s fiables.\u00a0<\/span><\/p>\n

A pesar de las discusiones internas sobre la posible violaci\u00f3n de las normas de YouTube, que proh\u00edben utilizar sus v\u00eddeos para aplicaciones \"independientes\",\u00a0<\/span><\/p>\n

NYT descubri\u00f3 que OpenAI transcribi\u00f3 finalmente m\u00e1s de un mill\u00f3n de horas de contenido de YouTube. Greg Brockman, presidente de OpenAI, colabor\u00f3 personalmente en la recopilaci\u00f3n de los v\u00eddeos. El texto transcrito se introdujo en GPT-4.<\/span><\/p>\n

Google tambi\u00e9n habr\u00eda transcrito v\u00eddeos de YouTube para recopilar texto para sus modelos de inteligencia artificial, lo que podr\u00eda suponer una infracci\u00f3n de los derechos de autor de los creadores de los v\u00eddeos. <\/span><\/p>\n

Esto se produce d\u00edas despu\u00e9s de que el CEO de YouTube dijera que tal actividad violar\u00eda la <\/span>condiciones de servicio de la empresa<\/span><\/a> y socavan a los creadores.\u00a0<\/span><\/p>\n

En junio de 2023, el departamento jur\u00eddico de Google solicit\u00f3 cambios en la pol\u00edtica de privacidad de la empresa, permitiendo el acceso p\u00fablico al contenido de Google Docs y otras aplicaciones de Google para una gama m\u00e1s amplia de productos de IA.\u00a0<\/span><\/p>\n

Meta, que se enfrenta a su propia escasez de datos, ha considerado varias opciones para adquirir m\u00e1s datos de entrenamiento.\u00a0<\/span><\/p>\n

Los ejecutivos hablaron de pagar por los derechos de licencia de libros, comprar la editorial Simon & Schuster e incluso recoger material protegido por derechos de autor de Internet sin permiso, arriesg\u00e1ndose a posibles demandas.\u00a0<\/span><\/p>\n

Los abogados de Meta argumentaron que el uso de datos para entrenar sistemas de inteligencia artificial deber\u00eda incluirse en el \"uso justo\", citando una decisi\u00f3n judicial de 2015 relacionada con el proyecto de escaneado de libros de Google.<\/span><\/p>\n

Preocupaciones \u00e9ticas y futuro de los datos de entrenamiento de la IA<\/h2>\n

Las acciones colectivas de estas empresas tecnol\u00f3gicas ponen de relieve la importancia cr\u00edtica de los datos en l\u00ednea en la pujante industria de la IA.<\/span><\/p>\n

Estas pr\u00e1cticas han suscitado preocupaci\u00f3n por la vulneraci\u00f3n de los derechos de autor y la justa compensaci\u00f3n a los creadores.\u00a0<\/span><\/p>\n

Justine Bateman, directora de cine y autora, denunci\u00f3 ante la Oficina de Derechos de Autor que modelos de inteligencia artificial se apropiaban de contenidos -incluidos sus escritos y pel\u00edculas- sin permiso ni remuneraci\u00f3n. <\/span><\/p>\n

\"Se trata del mayor robo de Estados Unidos, y punto\", declar\u00f3 en una entrevista.<\/span><\/p>\n

En las artes visuales, MidJourney y otros modelos de imagen se han <\/span>demostrado que genera derechos de autor<\/span><\/a> contenido, como escenas de pel\u00edculas de Marvel.\u00a0<\/span><\/p>\n

Algunos expertos predicen que los datos en l\u00ednea de alta calidad podr\u00edan agotarse en 2026, por lo que las empresas est\u00e1n explorando m\u00e9todos alternativos, como la generaci\u00f3n de datos sint\u00e9ticos utilizando ellos mismos modelos de IA.\u00a0<\/span>Sin embargo, los datos de entrenamiento sint\u00e9ticos conllevan sus propios riesgos y desaf\u00edos y podr\u00edan perjudicar <\/span>repercuten en la calidad de los modelos<\/span><\/a>.\u00a0<\/span><\/p>\n

El propio Sam Altman, CEO de OpenAI, reconoci\u00f3 la naturaleza finita de los datos en l\u00ednea en un discurso pronunciado en una conferencia tecnol\u00f3gica en mayo de 2023: \"Se acabar\u00e1n\", dijo.<\/span><\/p>\n

Sy Damle, abogado que representa a Andreessen Horowitz, una empresa de capital riesgo de Silicon Valley, tambi\u00e9n habl\u00f3 del reto: \"La \u00fanica forma pr\u00e1ctica de que existan estas herramientas es que puedan entrenarse con cantidades masivas de datos sin tener que licenciar esos datos. Los datos necesarios son tan masivos que ni siquiera las licencias colectivas pueden funcionar\".<\/span><\/p>\n

El NYT y OpenAI se enzarzan en un amarga demanda por derechos de autor<\/a>El Times solicita una indemnizaci\u00f3n millonaria por da\u00f1os y perjuicios.<\/p>\n

OpenAI contraatac\u00f3, acusando al Times de piratear\" sus modelos<\/a> para recuperar ejemplos de infracci\u00f3n de los derechos de autor.<\/p>\n

Por \"pirateo\" entienden el jailbreaking o red-teaming, que consiste en atacar el modelo con mensajes especialmente formulados para manipular los resultados.<\/p>\n

El NYT dijo que no tendr\u00edan que recurrir a modelos de jailbreaking si las empresas de IA fueran transparentes sobre los datos que han utilizado.<\/p>\n

Sin duda, esta investigaci\u00f3n interna hace que el robo de datos de Big Tech sea \u00e9tica y legalmente inaceptable.<\/p>\n

Con las demandas acumul\u00e1ndose,<\/span>\u00a0el panorama jur\u00eddico que rodea el uso de datos en l\u00ednea para el entrenamiento de IA es extremadamente precario.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

En su fren\u00e9tica b\u00fasqueda de datos de entrenamiento de inteligencia artificial, los gigantes tecnol\u00f3gicos OpenAI, Google y Meta se han saltado las pol\u00edticas corporativas, han alterado sus normas y han tratado de eludir las leyes de derechos de autor. Una investigaci\u00f3n del New York Times revela hasta d\u00f3nde han llegado estas empresas para recopilar informaci\u00f3n en l\u00ednea con la que alimentar sus sistemas de IA \u00e1vidos de datos. A finales de 2021, los investigadores de OpenAI desarrollaron una herramienta de reconocimiento de voz llamada Whisper para transcribir v\u00eddeos de YouTube cuando se enfrentaban a una escasez de datos de texto en ingl\u00e9s de buena reputaci\u00f3n. A pesar de las discusiones internas sobre la posible violaci\u00f3n de las normas de YouTube, que proh\u00edben utilizar sus v\u00eddeos para aplicaciones \"independientes\", NYT descubri\u00f3 que OpenAI finalmente transcribi\u00f3 m\u00e1s de un mill\u00f3n de horas<\/p>","protected":false},"author":2,"featured_media":11427,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[197],"class_list":["post-11426","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-copyright"],"yoast_head":"\nInside Big Tech\u2019s tussle over AI training data | 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\/04\/inside-big-techs-tussle-over-ai-training-data\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Inside Big Tech\u2019s tussle over AI training data | DailyAI\" \/>\n<meta property=\"og:description\" content=\"In the frantic pursuit of AI training data, tech giants OpenAI, Google, and Meta have reportedly bypassed corporate policies, altered their rules, and discussed circumventing copyright law.\u00a0 A New York Times investigation reveals the lengths these companies have gone to harvest online information to feed their data-hungry AI systems. In late 2021, OpenAI researchers developed a speech recognition tool called Whisper to transcribe YouTube videos when facing a shortage of reputable English-language text data.\u00a0 Despite internal discussions about potentially violating YouTube’s rules, which prohibit using its videos for “independent” applications,\u00a0 NYT found that OpenAI ultimately transcribed over one million hours\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/es\/2024\/04\/inside-big-techs-tussle-over-ai-training-data\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-04-08T17:45:24+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-04-09T08:28:17+00:00\" \/>\n<meta property=\"og:image\" 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