{"id":6005,"date":"2024-10-21T15:18:56","date_gmt":"2024-10-21T13:18:56","guid":{"rendered":"https:\/\/web.cidai.eu\/masterclass\/masterclass-explainable-ai-explicaciones-usables-entornos-industriales-y-criticos\/"},"modified":"2025-12-01T17:51:59","modified_gmt":"2025-12-01T16:51:59","slug":"masterclass-explainable-ai-explicaciones-usables-entornos-industriales-y-criticos","status":"publish","type":"masterclass","link":"https:\/\/cidai.eu\/es\/masterclass\/masterclass-explainable-ai-explicaciones-usables-entornos-industriales-y-criticos\/","title":{"rendered":"Explainable AI – Explicaciones usables en entornos industriales y cr\u00edticos"},"content":{"rendered":"

En los \u00faltimos a\u00f1os, el uso de proxies para desmitificar algoritmos basados \u200b\u200ben cajas negras ha adquirido popularidad, hasta convertirse en metodolog\u00edas est\u00e1ndar en entornos industriales. Sin embargo, todav\u00eda existen desaf\u00edos en cuanto a la interpretaci\u00f3n de los resultados y la generalizaci\u00f3n de estas explicaciones en escenarios cr\u00edticos, donde la precisi\u00f3n y la transparencia son primordiales.<\/p>\n","protected":false},"featured_media":4571,"template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-6005","masterclass","type-masterclass","status-publish","has-post-thumbnail","hentry","format-virtual-es","idioma-castellano"],"acf":[],"yoast_head":"\nExplainable AI - Explicaciones usables en entornos industriales y cr\u00edticos - CIDAI<\/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:\/\/cidai.eu\/es\/masterclass\/masterclass-explainable-ai-explicaciones-usables-entornos-industriales-y-criticos\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Explainable AI - 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