{"version":"1.0","provider_name":"la Fundaci\u00f3n Eticas","provider_url":"https:\/\/dev.eticasfoundation.org\/es","author_name":"Eticas","author_url":"https:\/\/dev.eticasfoundation.org\/es\/author\/eticas\/","title":"Gender and racial bias across facial recognition systems - Eticas Foundation","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"MJf8JraMOL\"><a href=\"https:\/\/dev.eticasfoundation.org\/es\/gender-bias-across-facial-recognition-systems\/\">Gender and racial bias across facial recognition systems<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/dev.eticasfoundation.org\/es\/gender-bias-across-facial-recognition-systems\/embed\/#?secret=MJf8JraMOL\" width=\"600\" height=\"338\" title=\"\u00abGender and racial bias across facial recognition systems\u00bb \u2014 Eticas Foundation\" data-secret=\"MJf8JraMOL\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";var e=!1,o=!1;if(l.querySelector)if(d.addEventListener)e=!0;if(d.wp=d.wp||{},!d.wp.receiveEmbedMessage)if(d.wp.receiveEmbedMessage=function(e){var t=e.data;if(t)if(t.secret||t.message||t.value)if(!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var r,a,i,s=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),n=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),o=new RegExp(\"^https?:$\",\"i\"),c=0;c<n.length;c++)n[c].style.display=\"none\";for(c=0;c<s.length;c++)if(r=s[c],e.source===r.contentWindow){if(r.removeAttribute(\"style\"),\"height\"===t.message){if(1e3<(i=parseInt(t.value,10)))i=1e3;else if(~~i<200)i=200;r.height=i}if(\"link\"===t.message)if(a=l.createElement(\"a\"),i=l.createElement(\"a\"),a.href=r.getAttribute(\"src\"),i.href=t.value,o.test(i.protocol))if(i.host===a.host)if(l.activeElement===r)d.top.location.href=t.value}}},e)d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",t,!1),d.addEventListener(\"load\",t,!1);function t(){if(!o){o=!0;for(var e,t,r,a=-1!==navigator.appVersion.indexOf(\"MSIE 10\"),i=!!navigator.userAgent.match(\/Trident.*rv:11\\.\/),s=l.querySelectorAll(\"iframe.wp-embedded-content\"),n=0;n<s.length;n++){if(!(r=(t=s[n]).getAttribute(\"data-secret\")))r=Math.random().toString(36).substr(2,10),t.src+=\"#?secret=\"+r,t.setAttribute(\"data-secret\",r);if(a||i)(e=t.cloneNode(!0)).removeAttribute(\"security\"),t.parentNode.replaceChild(e,t);t.contentWindow.postMessage({message:\"ready\",secret:r},\"*\")}}}}(window,document);\n<\/script>","thumbnail_url":"https:\/\/dev.eticasfoundation.org\/wp-content\/uploads\/2021\/09\/adult-1869430_1920.jpg","thumbnail_width":1920,"thumbnail_height":1280,"description":"Facial recognition algorithms have proven their inefficacy when it comes to classifying people that are not white males. A study published by the MIT Media Lab in early 2019 found that Rekognition, Amazon\u2019s facial recognition system, performed substantially worse when identifying an individual\u2019s gender if they were female or darker-skinned. Rekognition committed zero errors when [&hellip;]"}