{"version":"1.0","provider_name":"Institute for Data Science","provider_url":"https:\/\/carleton.ca\/cuids","author_name":"cuthemeedtr5","author_url":"https:\/\/carleton.ca\/cuids\/author\/cuthemeedtr5\/","title":"[RECORDED] Explainable AI for Classification and Decision Systems - Institute for Data Science","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"fHnMjbizbV\"><a href=\"https:\/\/carleton.ca\/cuids\/event\/explainable-ai-for-classification-and-decision-systems\/\">[RECORDED] Explainable AI for Classification and Decision Systems<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/carleton.ca\/cuids\/event\/explainable-ai-for-classification-and-decision-systems\/embed\/#?secret=fHnMjbizbV\" width=\"600\" height=\"338\" title=\"&#8220;[RECORDED] Explainable AI for Classification and Decision Systems&#8221; &#8212; Institute for Data Science\" data-secret=\"fHnMjbizbV\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!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);\n\/\/# sourceURL=https:\/\/carleton.ca\/cuids\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","description":"CUIDS Distinguished Speaker Series Light refreshments will be provided!&nbsp; Explainable AI for Classification and Decision Systems Leopoldo Bertossi, Skema Business School, Canada, Montreal Explainable AI (XAI) has become an effervescent area of research in AI and Machine Learning (ML). It is interesting per se, but also touches several aspects of what is nowadays called Ethical [&hellip;]","thumbnail_url":"https:\/\/carleton.ca\/cuids\/wp-content\/uploads\/sites\/245\/leopoldoBertossi-003.jpg","thumbnail_width":232,"thumbnail_height":232}