{"id":2366,"date":"2025-08-04T19:27:06","date_gmt":"2025-08-04T17:27:06","guid":{"rendered":"https:\/\/www.ki-fortschrittszentrum.de\/?post_type=projekt&#038;p=2366"},"modified":"2025-09-04T10:22:20","modified_gmt":"2025-09-04T08:22:20","slug":"sample-project-3-5","status":"publish","type":"projekt","link":"https:\/\/www.ki-fortschrittszentrum.de\/en\/projekt\/beispielprojekt-3-5\/","title":{"rendered":"Explainable AI: Evaluation of explainability methods in the application"},"content":{"rendered":"<div class=\"wp-block-stackable-columns stk-block-columns stk-block stk-86663cd stk-block-background stk--has-background-overlay\" data-block-id=\"86663cd\"><style>.stk-86663cd {background-image:url(https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/08\/BG5-scaled.jpg) !important;min-height:520px !important;align-items:flex-end !important;padding-bottom:0px !important;margin-bottom:0px !important;display:flex !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content stk-content-align stk-86663cd-column\">\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-5a28863\" data-v=\"4\" data-block-id=\"5a28863\"><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-5a28863-container stk--no-background stk--no-padding\"><div class=\"stk-block-content stk-inner-blocks stk-5a28863-inner-blocks\">\n<div class=\"wp-block-stackable-columns stk-block-columns stk-block stk-3e4895d\" data-block-id=\"3e4895d\"><div class=\"stk-row stk-inner-blocks stk-block-content stk-content-align stk-3e4895d-column\">\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-a094f1e\" data-v=\"4\" data-block-id=\"a094f1e\"><style>@media screen and (min-width:690px){.stk-a094f1e {flex:var(--stk-flex-grow, 1) 1 calc(30% - var(--stk-column-gap, 0px) * 2 \/ 3 ) !important;}}<\/style><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-a094f1e-container stk--no-background stk--no-padding\"><div class=\"stk-block-content stk-inner-blocks stk-a094f1e-inner-blocks\"><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-ba57710\" data-v=\"4\" data-block-id=\"ba57710\"><style>@media screen and (min-width:690px){.stk-ba57710 {flex:var(--stk-flex-grow, 1) 1 calc(30% - var(--stk-column-gap, 0px) * 2 \/ 3 ) !important;}}<\/style><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-ba57710-container stk--no-background stk--no-padding\"><div class=\"stk-block-content stk-inner-blocks stk-ba57710-inner-blocks\"><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-4764f29 stk-block-background\" data-v=\"4\" data-block-id=\"4764f29\"><style>.stk-4764f29 {align-self:flex-end !important;background-color:var(--theme-palette-color-8, #ffffff) !important;padding-top:0px !important;padding-right:0px !important;padding-bottom:0px !important;padding-left:0px !important;}.stk-4764f29-inner-blocks{justify-content:flex-end !important;}.stk-4764f29:before{background-color:var(--theme-palette-color-8, #ffffff) !important;}@media screen and (min-width:690px){.stk-4764f29 {flex:var(--stk-flex-grow, 1) 1 calc(40% - var(--stk-column-gap, 0px) * 2 \/ 3 ) !important;}}<\/style><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-4764f29-container stk--no-background stk--no-padding\"><div class=\"stk--column-flex stk-block-content stk-inner-blocks stk-4764f29-inner-blocks\">\n<div class=\"wp-block-greenshift-blocks-container gspb_container gspb_container-gsbp-933ef16\" id=\"gspb_container-id-gsbp-933ef16\">\n<div class=\"wp-block-stackable-image stk-block-image has-text-align-right stk-block stk-1690316\" data-block-id=\"1690316\"><style>.stk-1690316 {margin-bottom:36px !important;}.stk-1690316 .stk-img-wrapper{width:50% !important;}<\/style><figure><span class=\"stk-img-wrapper stk-image--shape-stretch\"><img loading=\"lazy\" decoding=\"async\" class=\"stk-img wp-image-344\" src=\"https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/04\/Fraunhofer-IPA-WEB-weiss-1.svg\" width=\"258\" height=\"72\"\/><\/span><\/figure><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-greenshift-blocks-container gspb_container gspb_container-gsbp-1fa6a74\" id=\"gspb_container-id-gsbp-1fa6a74\">\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-be1fdb3\" data-block-id=\"be1fdb3\"><style>.stk-be1fdb3 {padding-top:0px !important;padding-bottom:12px !important;margin-top:0px !important;margin-bottom:0px !important;}.stk-be1fdb3 .stk-block-text__text{font-size:15px !important;color:#ffffff80 !important;}@media screen and (max-width:999px){.stk-be1fdb3 .stk-block-text__text{font-size:15px !important;}}<\/style><p class=\"stk-block-text__text has-text-color has-text-align-left\">Contact at the AI Innovation Center<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-24ffa5e\" data-block-id=\"24ffa5e\"><style>.stk-24ffa5e {padding-top:0px !important;padding-bottom:0px !important;margin-top:0px !important;margin-bottom:0px !important;}.stk-24ffa5e .stk-block-text__text{font-size:15px !important;color:#ffffff !important;}@media screen and (max-width:999px){.stk-24ffa5e .stk-block-text__text{font-size:15px !important;}}<\/style><p class=\"stk-block-text__text has-text-color has-text-align-left\">Lena L\u00f6rcher<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-button-group stk-block-button-group stk-block stk-af007b4\" data-block-id=\"af007b4\"><style>.stk-af007b4 {padding-top:0px !important;padding-right:0px !important;padding-bottom:0px !important;padding-left:0px !important;margin-top:0px !important;margin-right:0px !important;margin-bottom:0px !important;margin-left:0px !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content stk-button-group\">\n<div class=\"wp-block-stackable-button stk-block-button is-style-plain stk-block stk-1cf8bea\" data-block-id=\"1cf8bea\"><style>.stk-1cf8bea .stk-button{padding-top:0px !important;padding-right:0px !important;padding-bottom:0px !important;padding-left:0px !important;background:transparent !important;}.stk-1cf8bea .stk-button:hover:after{background:transparent !important;opacity:1 !important;}:where(.stk-hover-parent:hover,  .stk-hover-parent.stk--is-hovered) .stk-1cf8bea .stk-button:after{background:transparent !important;opacity:1 !important;}.stk-1cf8bea .stk-button__inner-text{font-size:15px !important;color:var(--theme-palette-color-8, #ffffff) !important;font-weight:200 !important;}@media screen and (max-width:999px){.stk-1cf8bea .stk-button__inner-text{font-size:15px !important;}}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"mailto:lena.loercher@ipa.fraunhofer.de\" title=\"lena.loercher@ipa.fraunhofer.de\"><span class=\"has-text-color stk-button__inner-text\">lena.loercher@ipa.fraunhofer.de<\/span><\/a><\/div>\n<\/div><\/div>\n<\/div>\n<\/div><\/div><\/div>\n<\/div><\/div>\n<\/div><\/div><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-spacer stk-block-spacer stk--no-padding stk-block stk-56a43b6\" data-block-id=\"56a43b6\"><\/div>\n\n\n\n<div class=\"wp-block-stackable-columns stk-block-columns stk-block stk-fc04401\" data-block-id=\"fc04401\"><style>.stk-fc04401 {padding-right:24px !important;padding-left:24px !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content stk-content-align stk-fc04401-column\">\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-a194320\" data-v=\"4\" data-block-id=\"a194320\"><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-a194320-container stk--no-background stk--no-padding\"><div class=\"stk-block-content stk-inner-blocks stk-a194320-inner-blocks\"><div data-block=\"hook:1248\" class=\"alignfull\"><article id=\"post-1248\" class=\"post-1248\"><div class=\"entry-content is-layout-constrained\">\n<div class=\"wp-block-stackable-button-group stk-block-button-group stk-block stk-fcd1a8a\" data-block-id=\"fcd1a8a\"><style>.stk-fcd1a8a {margin-bottom:24px !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content stk-button-group\">\n<div class=\"wp-block-stackable-icon-button stk-block-icon-button stk-block stk-82470ba is-style-ghost\" data-block-id=\"82470ba\"><style>.stk-82470ba .stk-button{background:transparent !important;}.stk-82470ba .stk-button:hover{background:transparent !important;opacity:1 !important;}:where(.stk-hover-parent:hover,  .stk-hover-parent.stk--is-hovered) .stk-82470ba .stk-button:after{background:transparent !important;opacity:1 !important;}.stk-82470ba .stk-button:before{border-style:solid !important;border-color:var(--theme-palette-color-9, #264e5d) !important;}.stk-82470ba .stk-button .stk--inner-svg svg:last-child, .stk-82470ba .stk-button .stk--inner-svg svg:last-child :is(g, path, rect, polygon, ellipse){fill:var(--theme-palette-color-11, #006e92) !important;}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"javascript:window.history.back();\" title=\"Back\"><span class=\"stk--svg-wrapper\"><div class=\"stk--inner-svg\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 512 512\" aria-hidden=\"true\" width=\"32\" height=\"32\"><path d=\"M9.4 233.4c-12.5 12.5-12.5 32.8 0 45.3l128 128c12.5 12.5 32.8 12.5 45.3 0s12.5-32.8 0-45.3L109.3 288 480 288c17.7 0 32-14.3 32-32s-14.3-32-32-32l-370.7 0 73.4-73.4c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0l-128 128z\"><\/path><\/svg><\/div><\/span><\/a><\/div>\n<\/div><\/div>\n<\/div><\/article><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-5cbd537\" id=\"quick-check\" data-block-id=\"5cbd537\"><style>.stk-5cbd537 {margin-bottom:0px !important;}<\/style><h1 class=\"stk-block-heading__text\">Explainable AI: Evaluation of explainability methods in the application<\/h1><\/div>\n\n\n\n<div class=\"wp-block-stackable-icon-label stk-block-icon-label stk-block stk-9c593c0\" id=\"quick-check\" data-block-id=\"9c593c0\"><style>.stk-9c593c0 .stk-inner-blocks{gap:8px !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content\">\n<div class=\"wp-block-stackable-icon stk-block-icon has-text-align-left stk-block stk-624347f\" data-block-id=\"624347f\"><style>.stk-624347f .stk--svg-wrapper .stk--inner-svg svg:last-child{height:16px !important;width:16px !important;}.stk-624347f .stk--svg-wrapper .stk--inner-svg svg:last-child, .stk-624347f .stk--svg-wrapper .stk--inner-svg svg:last-child :is(g, path, rect, polygon, ellipse){fill:var(--theme-palette-color-10, #25bae2) !important;}<\/style><span class=\"stk--svg-wrapper\"><div class=\"stk--inner-svg\"><svg style=\"height:0;width:0\"><defs><lineargradient id=\"linear-gradient-624347f\" x1=\"0\" x2=\"100%\" y1=\"0\" y2=\"0\"><stop offset=\"0%\" style=\"stop-opacity:1;stop-color:var(--linear-gradient-624347-f-color-1)\"><\/stop><stop offset=\"100%\" style=\"stop-opacity:1;stop-color:var(--linear-gradient-624347-f-color-2)\"><\/stop><\/lineargradient><\/defs><\/svg><svg data-prefix=\"fa\" data-icon=\"star\" class=\"svg-inline--fa fa-star fa-w-18\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 576 512\" aria-hidden=\"true\" width=\"32\" height=\"32\"><path fill=\"currentColor\" d=\"M259.3 17.8L194 150.2 47.9 171.5c-26.2 3.8-36.7 36.1-17.7 54.6l105.7 103-25 145.5c-4.5 26.3 23.2 46 46.4 33.7L288 439.6l130.7 68.7c23.2 12.2 50.9-7.4 46.4-33.7l-25-145.5 105.7-103c19-18.5 8.5-50.8-17.7-54.6L382 150.2 316.7 17.8c-11.7-23.6-45.6-23.9-57.4 0z\"><\/path><\/svg><\/div><\/span><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-cdc2d3f\" id=\"span-data-stk-dynamic-current-page-post-taxonomy-term-projektformat-contenteditable-false-class-stk-dynamic-content-ai-innovation-seed-span\" data-block-id=\"cdc2d3f\"><p class=\"stk-block-heading__text\">AI Innovation Seed<\/p><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-c21bed1\" id=\"ausgangssituation\" data-block-id=\"c21bed1\"><h2 class=\"stk-block-heading__text\">Initial situation<\/h2><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-65e3563\" data-block-id=\"65e3563\"><style>.stk-65e3563 {column-count:1 !important;}<\/style><p class=\"stk-block-text__text\">In many applications, the use of AI processes offers enormous potential. However, the high predictive accuracy of AI models alone is often not sufficient, for example when using AI in highly regulated sectors such as the pharmaceutical industry. Here, the AI models used should at best be comprehensible. One solution to this is explainable AI (XAI) methods, which can be used to interpret AI models and their decisions.<br><br>So far, however, these approaches are still very close to research. This means that XAI techniques are often only tested on publicly available benchmark data sets. In addition, few techniques have been developed to date that can be used to evaluate the XAI methods themselves and the explanations generated. All in all, there is a lack of practical examples and approaches for evaluating the suitability of XAI methods in real use cases.<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-8c26049\" id=\"erklarbarkeitsverfahren-in-der-anwendung\" data-block-id=\"8c26049\"><h2 class=\"stk-block-heading__text\">Explainability methods in application<\/h2><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-ab6a506\" data-block-id=\"ab6a506\"><style>.stk-ab6a506 {column-count:1 !important;}<\/style><p class=\"stk-block-text__text\">This is precisely where the project comes in. The project focuses on the methodological concept for the use of XAI procedures for real-world applications. On the one hand, the explanation of AI models and their predictions will be considered. In addition, further attention will be paid to evaluating the safety of model decisions.<br><br>The following questions are addressed in the project:<\/p><\/div>\n\n\n\n<ul class=\"wp-block-list\">\n<li>What are the current limitations to the use of AI in highly regulated industries?<\/li>\n\n\n\n<li>What are the requirements for the traceability of AI models?<\/li>\n\n\n\n<li>Which XAI methods are suitable for which application scenarios?<\/li>\n\n\n\n<li>How can the use of XAI methods be accompanied and evaluated in real use cases?<\/li>\n<\/ul>\n\n\n\n<p>The results of the joint work are best practice approaches in the form of a process model for the use of explainability approaches for real use cases. The process model will also be tested as a prototype as part of the project.<\/p>\n\n\n\n<div class=\"wp-block-stackable-image stk-block-image has-text-align-left stk-block stk-2fa484b\" data-block-id=\"2fa484b\"><style>.stk-2fa484b .stk-img-figcaption{font-size:12px !important;}@media screen and (max-width:999px){.stk-2fa484b .stk-img-figcaption{font-size:12px !important;}}<\/style><figure><span class=\"stk-img-wrapper stk-image--shape-stretch stk--has-lightbox\"><img loading=\"lazy\" decoding=\"async\" class=\"stk-img wp-image-2707\" src=\"https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/08\/KI-Fortschrittszentrum_XXX_AIS_Erklaerbare-KI_Abb1.png\" width=\"1338\" height=\"453\" alt=\"Illustration example &quot;Explanation of AI model decisions&quot; for different stakeholders, source: Fraunhofer IPA\" srcset=\"https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/08\/KI-Fortschrittszentrum_XXX_AIS_Erklaerbare-KI_Abb1.png 1338w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/08\/KI-Fortschrittszentrum_XXX_AIS_Erklaerbare-KI_Abb1-400x135.png 400w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/08\/KI-Fortschrittszentrum_XXX_AIS_Erklaerbare-KI_Abb1-698x236.png 698w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/08\/KI-Fortschrittszentrum_XXX_AIS_Erklaerbare-KI_Abb1-768x260.png 768w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/08\/KI-Fortschrittszentrum_XXX_AIS_Erklaerbare-KI_Abb1-18x6.png 18w\" sizes=\"auto, (max-width: 1338px) 100vw, 1338px\" \/><\/span><figcaption class=\"stk-img-figcaption\">Figure 1: Example \"Explanation of AI model decisions\" for different stakeholders, source: Fraunhofer IPA<\/figcaption><\/figure><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-76475ee\" id=\"zielgruppe\" data-block-id=\"76475ee\"><h2 class=\"stk-block-heading__text\">Target group<\/h2><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-3e86ca0\" data-block-id=\"3e86ca0\"><p class=\"stk-block-text__text\">The project \"Evaluation of explainability methods in application\" is open to all business partners from Baden-W\u00fcrttemberg who are interested in the comprehensibility of AI models and would like to actively develop a competitive advantage. Ideally, your company already has use cases in which AI is used productively. For you as a partner, participation in the project has numerous advantages:<\/p><\/div>\n\n\n\n<p><strong>Knowledge advantage<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>through exclusive research results<\/li>\n\n\n\n<li>by building a network of experts and users<\/li>\n\n\n\n<li>through best-practice approaches<\/li>\n\n\n\n<li>for strategic early alignment<\/li>\n<\/ul>\n\n\n\n<p><strong>Communication<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Strong public perception <\/li>\n\n\n\n<li>Innovation leadership<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-1e747a7\" id=\"projektablauf\" data-block-id=\"1e747a7\"><h2 class=\"stk-block-heading__text\">Project process<\/h2><\/div>\n\n\n\n<div class=\"wp-block-stackable-image stk-block-image has-text-align-left stk-block stk-9353a13\" data-block-id=\"9353a13\"><style>.stk-9353a13 .stk-img-figcaption{font-size:12px !important;}@media screen and (max-width:999px){.stk-9353a13 .stk-img-figcaption{font-size:12px !important;}}<\/style><figure><span class=\"stk-img-wrapper stk-image--shape-stretch stk--has-lightbox\"><img loading=\"lazy\" decoding=\"async\" class=\"stk-img wp-image-2708\" src=\"https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/08\/KI-Fortschrittszentrum_XXX_AIS_Erklaerbare-KI_Abb2.png\" width=\"1358\" height=\"566\" alt=\"Illustration example &quot;Explanation of AI model decisions&quot; for different stakeholders, source: Fraunhofer IPA\" srcset=\"https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/08\/KI-Fortschrittszentrum_XXX_AIS_Erklaerbare-KI_Abb2.png 1358w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/08\/KI-Fortschrittszentrum_XXX_AIS_Erklaerbare-KI_Abb2-400x167.png 400w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/08\/KI-Fortschrittszentrum_XXX_AIS_Erklaerbare-KI_Abb2-698x291.png 698w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/08\/KI-Fortschrittszentrum_XXX_AIS_Erklaerbare-KI_Abb2-768x320.png 768w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/08\/KI-Fortschrittszentrum_XXX_AIS_Erklaerbare-KI_Abb2-18x8.png 18w\" sizes=\"auto, (max-width: 1358px) 100vw, 1358px\" \/><\/span><figcaption class=\"stk-img-figcaption\">Figure 2: Project content, source: Fraunhofer IPA<\/figcaption><\/figure><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-d745445\" data-block-id=\"d745445\"><p class=\"stk-block-text__text\">As shown in Figure 2, the first step is to hold a workshop to determine whether AI applications are already being used in your company but cannot be used to their full extent due to regulatory limitations. Furthermore, AI use cases should be developed that are suitable for the project format if AI is not yet being used productively in your company. In the next step, the requirements analysis for the XAI methods and their generated explanations is derived from the selected use case. The selected methods for extracting explanations from the AI model are then adapted to the use case and evaluated with regard to the previously defined requirements. The project is finalized with a proof-of-concept that generates fully meaningful and comprehensible explanations for the selected use case and thus makes the AI application more transparent and trustworthy.<\/p><\/div>\n<\/div><\/div><\/div>\n<\/div><\/div>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Explainable AI methods enable the traceability of AI decisions, especially in regulated industries. The project develops best-practice approaches for the use of XAI in real applications.<\/p>","protected":false},"author":4,"featured_media":2430,"template":"","format":"standard","meta":{"_acf_changed":true,"_gspb_post_css":".gspb_container-id-gsbp-1fa6a74,.gspb_container-id-gsbp-933ef16{flex-direction:column;box-sizing:border-box}#gspb_container-id-gsbp-1fa6a74.gspb_container>p:last-of-type,#gspb_container-id-gsbp-933ef16.gspb_container>p:last-of-type{margin-bottom:0}#gspb_container-id-gsbp-1fa6a74.gspb_container,#gspb_container-id-gsbp-933ef16.gspb_container{position:relative;background-color:var(--wp--preset--color--palette-color-11, var(--theme-palette-color-11, #006e92))}#gspb_container-id-gsbp-933ef16.gspb_container{margin-bottom:0;padding:24px 24px 0}#gspb_container-id-gsbp-1fa6a74.gspb_container{display:block;margin:0;padding:24px}"},"bereich":[20],"institut":[],"projektformat":[12],"class_list":["post-2366","projekt","type-projekt","status-publish","format-standard","has-post-thumbnail","hentry","bereich-entwicklung-innovation","projektformat-ai-innovation-seed"],"blocksy_meta":[],"acf":[],"_links":{"self":[{"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/projekt\/2366","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/projekt"}],"about":[{"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/types\/projekt"}],"author":[{"embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/users\/4"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/media\/2430"}],"wp:attachment":[{"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/media?parent=2366"}],"wp:term":[{"taxonomy":"bereich","embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/bereich?post=2366"},{"taxonomy":"institut","embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/institut?post=2366"},{"taxonomy":"projektformat","embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/projektformat?post=2366"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}