{"id":3990,"date":"2025-10-29T08:09:07","date_gmt":"2025-10-29T00:09:07","guid":{"rendered":"https:\/\/moresourcing.com\/the-three-obstacles-slowing-responsible-ai\/"},"modified":"2025-10-29T08:09:07","modified_gmt":"2025-10-29T00:09:07","slug":"the-three-obstacles-slowing-responsible-ai","status":"publish","type":"post","link":"https:\/\/moresourcing.com\/es\/the-three-obstacles-slowing-responsible-ai\/","title":{"rendered":"Los tres obst\u00e1culos que frenan la IA responsable"},"content":{"rendered":"<p><\/p>\n<div>\n<aside class=\"article-ad ad-300  ad-300x250 ad-desktop\">\n<\/aside>\n<aside class=\"article-ad ad-300  ad-300x250 ad-mobile\">\n<\/aside>\n<figure class=\"article-inline\">\n<img fetchpriority=\"high\" decoding=\"async\" width=\"1290\" height=\"860\" alt=\"\" class=\"wp-image-123431\" srcset=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2025\/10\/The-Three-Obstacles-Slowing-Responsible-AI.jpg 1290w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/2026WINTER_Isik-1290x860-1-300x200.jpg 300w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/2026WINTER_Isik-1290x860-1-150x100.jpg 150w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/2026WINTER_Isik-1290x860-1-768x512.jpg 768w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/2026WINTER_Isik-1290x860-1-764x509.jpg 764w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/2026WINTER_Isik-1290x860-1-382x255.jpg 382w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/2026WINTER_Isik-1290x860-1-870x580.jpg 870w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/2026WINTER_Isik-1290x860-1-435x290.jpg 435w\" data-lazy-sizes=\"(max-width: 1290px) 100vw, 1290px\" src=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2025\/10\/The-Three-Obstacles-Slowing-Responsible-AI.jpg\"\/><img fetchpriority=\"high\" decoding=\"async\" width=\"1290\" height=\"860\" src=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2025\/10\/The-Three-Obstacles-Slowing-Responsible-AI.jpg\" alt=\"\" class=\"wp-image-123431\" srcset=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2025\/10\/The-Three-Obstacles-Slowing-Responsible-AI.jpg 1290w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/2026WINTER_Isik-1290x860-1-300x200.jpg 300w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/2026WINTER_Isik-1290x860-1-150x100.jpg 150w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/2026WINTER_Isik-1290x860-1-768x512.jpg 768w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/2026WINTER_Isik-1290x860-1-764x509.jpg 764w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/2026WINTER_Isik-1290x860-1-382x255.jpg 382w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/2026WINTER_Isik-1290x860-1-870x580.jpg 870w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/2026WINTER_Isik-1290x860-1-435x290.jpg 435w\" sizes=\"(max-width: 1290px) 100vw, 1290px\"\/><figcaption>\n<p class=\"attribution\">Anna y Elena Balbusso\/theispot.com<\/p>\n<\/figcaption><\/figure>\n<div class=\"article-summary\"><strong class=\"article-summary__strong\">Resumen: <\/strong><\/p>\n<p>Muchas organizaciones tienen la intenci\u00f3n de verificar la equidad, la responsabilidad y la transparencia de sus sistemas de IA, pero luchan por implementar procesos de IA responsables debido a obst\u00e1culos estructurales y culturales o a la falta de compromiso.<\/p>\n<\/div>\n<div class=\"article-narration\">\n<p>    <a href=\"#narration\" id=\"narrationModal\" class=\"j-audio-trigger current-speed\" title=\"Los tres obst\u00e1culos que frenan la IA responsable\"><br \/>\n        <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"50\" height=\"50\" viewbox=\"0 0 50 50\" fill=\"none\">\n            <g clip-path=\"url(#clip0_2534_8292)\">\n            <g clip-path=\"url(#clip1_2534_8292)\">\n            <path d=\"M25 50C38.8071 50 50 38.8071 50 25C50 11.1929 38.8071 0 25 0C11.1929 0 0 11.1929 0 25C0 38.8071 11.1929 50 25 50Z\" fill=\"#005B9C\"\/>\n            <path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M19.985 25.0001V17.0708C19.985 16.5579 20.6336 16.2585 21.1033 16.5547L27.245 20.4252L33.6852 24.4837C34.0849 24.7358 34.0849 25.2645 33.6852 25.5166L27.245 29.5753L21.1033 33.4458C20.6336 33.7418 19.985 33.4423 19.985 32.9294V25.0001Z\" fill=\"white\"\/>\n            <\/g>\n            <\/g>\n            <defs>\n            <clippath id=\"clip0_2534_8292\">\n            <rect width=\"50\" height=\"50\" fill=\"white\"\/>\n            <\/clippath>\n            <clippath id=\"clip1_2534_8292\">\n            <rect width=\"50\" height=\"50\" fill=\"white\"\/>\n            <\/clippath>\n            <\/defs>\n        <\/svg><br \/>\n        <span>Escuche \"Los tres obst\u00e1culos que frenan la IA responsable\" <span>(21:28)<\/span><\/span><br \/>\n    <\/a><\/p>\n<p>    <audio id=\"narration\" preload=\"none\" title=\"Los tres obst\u00e1culos que frenan la IA responsable\"><source src=\"https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/10\/Article-4-Winter-Obstacles-Narrated-Articles-teaser.mp3\" type=\"audio\/mpeg\"><\/source><\/audio><\/p>\n<\/div>\n<p><span class=\"smr-leadin\">En octubre de 2023, la ciudad de Nueva York lanz\u00f3<\/span> su plan de acci\u00f3n de IA, comprometi\u00e9ndose p\u00fablicamente con el uso responsable y transparente de la inteligencia artificial.<\/p>\n<p>Pero a principios de 2024, las ambiciones de IA de Nueva York estaban bajo escrutinio.<a id=\"reflink1\" class=\"reflink\" href=\"#ref1\">1<\/a> Los observadores cuestionaron no s\u00f3lo la precisi\u00f3n t\u00e9cnica del sistema sino tambi\u00e9n los protocolos de gobernanza, los mecanismos de supervisi\u00f3n y los procesos de implementaci\u00f3n de la ciudad.<\/p>\n<p>Este caso representa s\u00f3lo un ejemplo de un patr\u00f3n m\u00e1s amplio.<\/p>\n<p>En respuesta, los reguladores han introducido una ola de nuevas pol\u00edticas, incluida la Ley de IA de la Uni\u00f3n Europea, la Ley de Datos e Inteligencia Artificial de Canad\u00e1 y las regulaciones actualizadas de IA de Corea del Sur, todas las cuales ejercen nuevas presiones sobre las organizaciones para que pongan en pr\u00e1ctica la transparencia, la seguridad y la supervisi\u00f3n humana.<\/p>\n<p>Aun as\u00ed, incluso entre las empresas que comprenden los peligros potenciales, el progreso sigue siendo desigual y corren el riesgo de incorporar errores o sesgos en sus procesos o de cometer violaciones \u00e9ticas inesperadas y posiblemente graves a escala.<\/p>\n<h3>Cuidado con las brechas RAI<\/h3>\n<p>A trav\u00e9s de entrevistas con m\u00e1s de 20 l\u00edderes de IA, funcionarios de \u00e9tica y altos ejecutivos de varias industrias, incluida la tecnolog\u00eda, los servicios financieros, la atenci\u00f3n m\u00e9dica y el sector p\u00fablico, exploramos las din\u00e1micas internas que dan forma a las iniciativas de la RAI.<\/p>\n<p><strong>1. La brecha de rendici\u00f3n de cuentas.<\/strong><\/p>\n<div class=\"article-authors\" id=\"article-authors\">\n<h4 class=\"article-authors__title\">Sobre los autores<\/h4>\n<div class=\"article-authors__bio\">\n<p>\u00d6yk\u00fc I\u015f\u0131k es profesor de estrategia digital y ciberseguridad en el Instituto Internacional para el Desarrollo Gerencial (IMD).<\/p>\n<\/div><\/div>\n<div class=\"article-ref\" id=\"article-ref\">\n<h4 class=\"article-ref__title\">Referencias<\/h4>\n<div class=\"article-ref__list\">\n<p id=\"ref1\"><b>1.<\/b> C. Lecher, \u201c<a href=\"https:\/\/themarkup.org\/news\/2024\/03\/29\/nycs-ai-chatbot-tells-businesses-to-break-the-law\" target=\"_blank\">El chatbot de inteligencia artificial de la ciudad de Nueva York les dice a las empresas que infrinjan la ley<\/a>\u201d, The Markup, 29 de marzo de 2024, https:\/\/themarkup.org.<\/p>\n<p id=\"ref2\"><b>2.<\/b> R. Titah, \u201c<a href=\"https:\/\/sloanreview.mit.edu\/article\/how-ai-skews-our-sense-of-responsibility\/\">C\u00f3mo la IA distorsiona nuestro sentido de responsabilidad<\/a>\u201d, MIT Sloan Management Review 65, n.\u00ba 4 (verano de 2024): 18-19.<\/p>\n<p id=\"ref3\"><b>3.<\/b> C. O'Neil, J. Appel y S. Tyner-Monroe\u2009\u201c<a href=\"https:\/\/sloanreview.mit.edu\/article\/auditing-algorithmic-risk\/\">Auditor\u00eda de riesgo algor\u00edtmico<\/a>\u201d, MIT Sloan Management Review 65, n.\u00ba 4 (verano de 2024): 30-37.<\/p>\n<p id=\"ref4\"><b>4.<\/b> J. Friedland, D.B.<a href=\"https:\/\/sloanreview.mit.edu\/article\/the-hazards-of-putting-ethics-on-autopilot\/\">Los peligros de poner la \u00e9tica en piloto autom\u00e1tico<\/a>\u201d, MIT Sloan Management Review 65, n.\u00ba 4 (verano de 2024): 9-11.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"article-doi\">\n    <a href=\"https:\/\/doi.org\/10.63383\/FBhK7635\" target=\"_blank\" class=\"article-doi__number\">https:\/\/doi.org\/10.63383\/FBhK7635<\/a>\n<\/div>\n<\/div>\n<p>#Obst\u00e1culos #Desaceleraci\u00f3n #Responsable<\/p>","protected":false},"excerpt":{"rendered":"<p>Anna &amp; Elena Balbusso\/theispot.com Resumen: Muchas organizaciones tienen la intenci\u00f3n de verificar la equidad, la responsabilidad y la transparencia de sus sistemas de IA, pero luchan por implementar procesos de IA responsables debido a obst\u00e1culos estructurales y culturales o a la falta de compromiso.<\/p>","protected":false},"author":1,"featured_media":3991,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[9],"tags":[],"class_list":["post-3990","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-management"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.7.1 (Yoast SEO v25.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>The Three Obstacles Slowing Responsible AI - MORE SOURCING LTD<\/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:\/\/moresourcing.com\/es\/the-three-obstacles-slowing-responsible-ai\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Three Obstacles Slowing Responsible AI\" \/>\n<meta property=\"og:description\" content=\"Anna &amp; Elena Balbusso\/theispot.com Summary: Many organizations intend to check their AI systems for fairness, accountability, and transparency but struggle to implement responsible AI processes due to structural and cultural obstacles or a lack of commitment. 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