{"id":85,"date":"2024-12-09T11:25:28","date_gmt":"2024-12-09T11:25:28","guid":{"rendered":"https:\/\/nexivis.ai\/?p=85"},"modified":"2024-12-09T11:25:29","modified_gmt":"2024-12-09T11:25:29","slug":"explainable-ai-xai","status":"publish","type":"post","link":"https:\/\/nexivis.ai\/fr\/blog\/wiki\/explainable-ai-xai\/","title":{"rendered":"AI explicable (XAI)"},"content":{"rendered":"

Explainable AI vise \u00e0 rendre les processus de d\u00e9cision des syst\u00e8mes d'IA transparents et compr\u00e9hensibles. Ceci est particuli\u00e8rement important dans les domaines o\u00f9 les d\u00e9cisions d'IA ont un impact significatif, comme la sant\u00e9 ou le secteur financier. Les techniques XAI aident \u00e0 r\u00e9soudre le probl\u00e8me de \"bo\u00eete noire\" de nombreux mod\u00e8les d'IA en fournissant des m\u00e9thodes d'interpr\u00e9tation et d'explication des d\u00e9cisions prises par l'IA. Cela favorise la confiance dans les syst\u00e8mes d'IA et permet un meilleur contr\u00f4le et une am\u00e9lioration des mod\u00e8les.<\/p>","protected":false},"excerpt":{"rendered":"

Explainable AI zielt darauf ab, die Entscheidungsprozesse von KI-Systemen transparent und nachvollziehbar zu machen. Dies ist besonders wichtig in Bereichen, in denen KI-Entscheidungen signifikante Auswirkungen haben, wie im Gesundheitswesen oder im Finanzsektor. XAI-Techniken helfen dabei, das „Black Box“-Problem vieler KI-Modelle zu l\u00f6sen, indem sie Methoden zur Interpretation und Erkl\u00e4rung von KI-Entscheidungen bereitstellen. Dies f\u00f6rdert das […]<\/p>\n","protected":false},"author":1,"featured_media":82,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-85","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-wiki"],"yoast_head":"\nExplainable AI (XAI) - Nexivis<\/title>\n<meta name=\"description\" content=\"Explainable AI zielt darauf ab, die Entscheidungsprozesse von KI-Systemen transparent und nachvollziehbar zu machen.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/nexivis.ai\/fr\/blog\/wiki\/explainable-ai-xai\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Explainable AI (XAI)\" \/>\n<meta property=\"og:description\" content=\"Explainable AI zielt darauf ab, die Entscheidungsprozesse von KI-Systemen transparent und nachvollziehbar zu machen.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/nexivis.ai\/fr\/blog\/wiki\/explainable-ai-xai\/\" \/>\n<meta property=\"og:site_name\" content=\"Nexivis\" \/>\n<meta property=\"article:published_time\" content=\"2024-12-09T11:25:28+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-12-09T11:25:29+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/nexivis.ai\/wp-content\/uploads\/2024\/12\/vektor-halbton-abstrakt-C3BCbergang-gepunktete-rundschreiben.jpg_s1024x1024wisk20cGQe9dO2uWCNmVxwSedfflDI8eOW7sxoAhjEMwcOa18Y.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"682\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/nexivis.ai\/blog\/wiki\/explainable-ai-xai\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/nexivis.ai\/blog\/wiki\/explainable-ai-xai\/\"},\"author\":{\"name\":\"admin\",\"@id\":\"https:\/\/nexivis.ai\/#\/schema\/person\/f5d88018a19e0cbf6cc207f41dec658d\"},\"headline\":\"Explainable AI (XAI)\",\"datePublished\":\"2024-12-09T11:25:28+00:00\",\"dateModified\":\"2024-12-09T11:25:29+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/nexivis.ai\/blog\/wiki\/explainable-ai-xai\/\"},\"wordCount\":75,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/nexivis.ai\/#organization\"},\"image\":{\"@id\":\"https:\/\/nexivis.ai\/blog\/wiki\/explainable-ai-xai\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/nexivis.ai\/wp-content\/uploads\/2024\/12\/vektor-halbton-abstrakt-C3BCbergang-gepunktete-rundschreiben.jpg_s1024x1024wisk20cGQe9dO2uWCNmVxwSedfflDI8eOW7sxoAhjEMwcOa18Y.jpg\",\"articleSection\":[\"Wiki\"],\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/nexivis.ai\/blog\/wiki\/explainable-ai-xai\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/nexivis.ai\/blog\/wiki\/explainable-ai-xai\/\",\"url\":\"https:\/\/nexivis.ai\/blog\/wiki\/explainable-ai-xai\/\",\"name\":\"Explainable AI (XAI) - 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