{"id":13860,"date":"2024-08-15T09:35:30","date_gmt":"2024-08-15T09:35:30","guid":{"rendered":"https:\/\/dailyai.com\/?p=13860"},"modified":"2024-08-18T12:14:41","modified_gmt":"2024-08-18T12:14:41","slug":"study-challenges-the-narrative-of-ai-posing-an-existential-threat","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2024\/08\/study-challenges-the-narrative-of-ai-posing-an-existential-threat\/","title":{"rendered":"Un estudio cuestiona la idea de que la IA representa una \"amenaza existencial"},"content":{"rendered":"

\u00bfEs o no arriesgada la IA? Es el debate que no cesa sin respuestas definitivas.<\/strong><\/p>\n

Aportando m\u00e1s pruebas a este debate, investigadores de la Universidad de Bath y la Universidad T\u00e9cnica de Darmstadt pusieron en marcha un estudio para evaluar los riesgos de la IA en el contexto de modelos ling\u00fc\u00edsticos actuales como ChatGPT.\u00a0<\/span><\/p>\n

En <\/span>resultados<\/span><\/a>publicado en el marco de la 62\u00aa Reuni\u00f3n Anual de la Asociaci\u00f3n de Ling\u00fc\u00edstica Computacional (ACL 2024), cuestionan la idea de que la IA, y en particular los grandes modelos ling\u00fc\u00edsticos (LLM) como ChatGPT, puedan evolucionar m\u00e1s all\u00e1 del control humano y suponer una amenaza existencial para la humanidad.<\/span><\/p>\n

Esto se enfrenta a los temores expresados por algunos de los principales investigadores de IA del mundo, como Geoffrey Hinton y Yoshua Bengio, dos de los \"padrinos de la IA\" que transmitieron su preocupaci\u00f3n por los peligros potenciales de la IA avanzada.\u00a0<\/span><\/p>\n

Yann LeCun, el tercer \"padrino de la IA\" y cient\u00edfico jefe de IA de Meta, junto con el Dr. Gary Marcus y otros, sostiene lo contrario: que los riesgos de la IA son <\/span>simplemente exagerado<\/span><\/a>.\u00a0<\/span><\/p>\n

Esta divergencia de opiniones entre las figuras m\u00e1s influyentes del campo ha <\/span>aliment\u00f3 un intenso debate<\/span><\/a> sobre la naturaleza y gravedad de los riesgos que plantean los sistemas avanzados de IA.<\/span><\/p>\n

Este nuevo estudio sondea las \"capacidades emergentes\" de los LLM, es decir, la capacidad de un modelo para realizar tareas para las que no ha sido entrenado expl\u00edcitamente.\u00a0<\/span><\/p>\n

Los riesgos de la IA son polifac\u00e9ticos, pero al menos algunos est\u00e1n relacionados con modelos que desarrollan sus propios objetivos que podr\u00edan perjudicar a los humanos, como el cierre de sistemas inform\u00e1ticos o la filtraci\u00f3n de datos. <\/span><\/p>\n

Lo que preocupa es si un LLM puede desarrollar espont\u00e1neamente estas habilidades sin instrucci\u00f3n ni control.\u00a0<\/span><\/p>\n

Para investigarlo, el equipo de investigaci\u00f3n realiz\u00f3 una serie de experimentos:<\/span><\/p>\n

    \n
  1. Examinaron los mecanismos subyacentes del \"aprendizaje en contexto\" (ICL) en los LLM, que permite a los modelos generar respuestas basadas en ejemplos proporcionados durante las interacciones. Como afirma el estudio, \"la capacidad de seguir instrucciones no implica tener capacidad de razonamiento y, lo que es m\u00e1s importante, no implica la posibilidad de que existan capacidades latentes potencialmente peligrosas.\"<\/span><\/li>\n
  2. Evaluaron las verdaderas capacidades y limitaciones de los LLM valorando su rendimiento en una serie de tareas, incluidas las que requieren habilidades complejas de razonamiento y resoluci\u00f3n de problemas. Los investigadores sostienen que los LLM no pueden desarrollar nuevas habilidades de forma independiente.<\/span><\/li>\n
  3. Analizaron la relaci\u00f3n entre el tama\u00f1o del modelo, los datos de entrenamiento y las habilidades emergentes para determinar si el aumento de la complejidad del modelo conduce a que la IA desarrolle habilidades peligrosas. Seg\u00fan el estudio, \"estas observaciones implican que nuestras conclusiones son v\u00e1lidas para cualquier modelo que muestre propensi\u00f3n a la alucinaci\u00f3n o requiera una ingenier\u00eda r\u00e1pida, incluidos los de mayor complejidad, independientemente de la escala o el n\u00famero de modalidades, como el GPT-4.\"<\/span><\/li>\n<\/ol>\n

    Los investigadores concluyen de su investigaci\u00f3n que \"la narrativa predominante de que este tipo de IA es una amenaza para la humanidad impide la adopci\u00f3n generalizada y el desarrollo de estas tecnolog\u00edas y tambi\u00e9n desv\u00eda la atenci\u00f3n de los problemas genuinos que requieren nuestra atenci\u00f3n.\"<\/span><\/p>\n

    Esta opini\u00f3n coincide con la de LeCun y otros que creen que los riesgos de la IA est\u00e1n sobredimensionados.<\/span><\/p>\n

    Sin embargo, aunque evaluar los riesgos que plantean los modelos actuales de IA es obviamente esencial, tener en cuenta el futuro es una tarea m\u00e1s ardua.\u00a0<\/span><\/p>\n

    Cada generaci\u00f3n de modelos viene acompa\u00f1ada de nuevas capacidades y, por tanto, de nuevos riesgos, como demuestran algunos comportamientos extra\u00f1os documentados en\u00a0Tarjeta de prueba de GPT-4o<\/a>.\u00a0<\/span><\/p>\n

    En un ejercicio de red teaming (dise\u00f1ado para identificar comportamientos impredecibles de la IA), la funci\u00f3n de voz de GPT-4o clon\u00f3 inesperadamente la voz de un usuario y empez\u00f3 a hablarle con su propia voz.\u00a0<\/span><\/p>\n

    Es fundamental hacer un seguimiento de los riesgos de la IA a medida que surgen, ya que los objetivos cambian constantemente.\u00a0<\/span><\/p>\n

    El estudio destaca que algunos riesgos no existenciales de la IA ya est\u00e1n llamando a la puerta: \"Por lo tanto, las investigaciones futuras deber\u00edan centrarse en otros riesgos que plantean los modelos, como su potencial para ser utilizados para generar noticias falsas\".<\/span><\/p>\n

    Como admiten los autores, el hecho de que la IA no plantee amenazas a gran escala en estos momentos no significa que la seguridad no sea un problema.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    \u00bfEs o no arriesgada la IA? Es el debate que sigue sin respuestas definitivas. Aportando m\u00e1s pruebas a este debate, investigadores de la Universidad de Bath y de la Universidad T\u00e9cnica de Darmstadt lanzaron un estudio para evaluar los riesgos de la IA en el contexto de modelos ling\u00fc\u00edsticos actuales como ChatGPT. Las conclusiones, publicadas en el marco de la 62\u00aa Reuni\u00f3n Anual de la Asociaci\u00f3n de Ling\u00fc\u00edstica Computacional (ACL 2024), cuestionan la opini\u00f3n de que la IA, en particular los grandes modelos ling\u00fc\u00edsticos (LLM) como ChatGPT, podr\u00eda evolucionar m\u00e1s all\u00e1 del control humano y suponer una amenaza existencial para la humanidad. Se enfrentan as\u00ed a los temores expresados por algunos de los principales<\/p>","protected":false},"author":2,"featured_media":13867,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[163,105],"class_list":["post-13860","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-ai-risks","tag-machine-learning"],"yoast_head":"\nStudy challenges the narrative of AI posing an 'existential threat' | 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\/08\/study-challenges-the-narrative-of-ai-posing-an-existential-threat\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Study challenges the narrative of AI posing an 'existential threat' | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Is AI risky or not? It\u2019s the debate that just keeps raging on without definitive answers. Contributing more evidence to this debate, University of Bath and the Technical University of Darmstadt researchers launched a study to evaluate AI risks in the context of current language models like ChatGPT.\u00a0 The findings, published as part of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), challenge views that AI, particularly large language models (LLMs) like ChatGPT, could evolve beyond human control and pose an existential threat to humanity. This confronts the fears expressed by some of the world’s leading\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/es\/2024\/08\/study-challenges-the-narrative-of-ai-posing-an-existential-threat\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-08-15T09:35:30+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-08-18T12:14:41+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/08\/DALL\u00b7E-2024-08-15-10.39.24-A-high-quality-realistic-photographic-style-landscape-image-depicting-existential-risk-with-AI-consuming-the-planet.-The-scene-features-Earth-seen-fr.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1792\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"Sam Jeans\" \/>\n<meta name=\"twitter:card\" 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