{"id":7361,"date":"2024-10-21T15:18:56","date_gmt":"2024-10-21T13:18:56","guid":{"rendered":"https:\/\/cidai.eu\/masterclass\/explainable-ai-usable-explanations-in-industrial-and-critical-environments\/"},"modified":"2026-05-05T16:39:31","modified_gmt":"2026-05-05T14:39:31","slug":"explainable-ai-usable-explanations-in-industrial-and-critical-environments","status":"publish","type":"masterclass","link":"https:\/\/cidai.eu\/en\/masterclass\/explainable-ai-usable-explanations-in-industrial-and-critical-environments\/","title":{"rendered":"Explainable AI – Usable explanations in industrial and critical environments"},"content":{"rendered":"

In recent years, using proxies to demystify black-box algorithms has gained popularity and become a standard methodology in industrial environments. However, there are still challenges in interpreting the results and generalising these explanations in critical scenarios where accuracy and transparency are paramount.<\/p>\n","protected":false},"featured_media":4570,"template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-7361","masterclass","type-masterclass","status-publish","has-post-thumbnail","hentry","format-online","idioma-spanish"],"acf":[],"yoast_head":"\nExplainable AI - Usable explanations in industrial and critical environments - 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\/en\/masterclass\/explainable-ai-usable-explanations-in-industrial-and-critical-environments\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Explainable AI - Usable explanations in industrial and critical environments - CIDAI\" \/>\n<meta property=\"og:description\" content=\"In recent years, using proxies to demystify black-box algorithms has gained popularity and become a standard methodology in industrial environments. 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