{"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\/en\/blog\/wiki\/explainable-ai-xai\/","title":{"rendered":"Explainable AI (XAI)"},"content":{"rendered":"

Explainable AI aims to make the decision-making processes of AI systems transparent and comprehensible. This is particularly important in areas where AI decisions have a significant impact, such as healthcare or the financial sector. XAI techniques help to solve the \"black box\" problem of many AI models by providing methods for interpreting and explaining AI decisions. This promotes trust in AI systems and enables better control and improvement of the models.<\/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\/en\/blog\/wiki\/explainable-ai-xai\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\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\/en\/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=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\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\":\"en-US\",\"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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