{"version":"1.0","provider_name":"Microsoft Research","provider_url":"https:\/\/www.microsoft.com\/en-us\/research","author_name":"Besmira Nushi","author_url":"https:\/\/www.microsoft.com\/en-us\/research\/people\/benushi\/","title":"Tools for Managing and Ideating Responsible AI Mitigations - Microsoft Research","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"BWfUzNPQfz\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/tools-for-managing-and-ideating-responsible-ai-mitigations\/\">Tools for Managing and Ideating Responsible AI Mitigations<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/tools-for-managing-and-ideating-responsible-ai-mitigations\/embed\/#?secret=BWfUzNPQfz\" width=\"600\" height=\"338\" title=\"&#8220;Tools for Managing and Ideating Responsible AI Mitigations&#8221; &#8212; Microsoft Research\" data-secret=\"BWfUzNPQfz\" 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\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/02\/Ideating-Responsible-AI-Mitigations-Background.png","thumbnail_width":2000,"thumbnail_height":728,"description":"News: Our slides from the FAccT Tutorial on Responsible AI Toolbox are available here. ML algorithms and systems are often prone to severe bias and highly consequential failure modes that are not well understood. This project advances the methods, tools, and infrastructure for debugging and mitigating these failure modes so practitioners may act on them [&hellip;]"}