1.0IT:Uhttps://it-u.at/en/rich600338<blockquote class="wp-embedded-content" data-secret="mYpVuwWLmq"><a href="https://it-u.at/en/research/research-groups/explainable-ai/">Explainable Artificial Intelligence </a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://it-u.at/en/research/research-groups/explainable-ai/embed/#?secret=mYpVuwWLmq" width="600" height="338" title="“Explainable Artificial Intelligence ” — IT:U" data-secret="mYpVuwWLmq" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document); </script> Explainable Artificial Intelligence (XAI) research focuses on making AI systems more transparent, interpretable, and understandable for users. The aim is to build AI models and interfaces that are not only accurate but also explain their decisions in a clear and reliable manner. This is essential for fostering trust and accountability in AI applications across various […]https://it-u.at/wp-content/uploads/2024/09/09/itu-og-image.jpg1200630