{"id":75840,"date":"2021-06-17T11:30:00","date_gmt":"2021-06-17T09:30:00","guid":{"rendered":"https:\/\/www.hiig.de\/?p=75840"},"modified":"2023-03-28T14:04:20","modified_gmt":"2023-03-28T12:04:20","slug":"myth-ai-treats-everyone-equally-and-makes-predictions-fairly","status":"publish","type":"post","link":"https:\/\/www.hiig.de\/en\/myth-ai-treats-everyone-equally-and-makes-predictions-fairly\/","title":{"rendered":"Myth: AI treats everyone equally and makes predictions fairly"},"content":{"rendered":"\n<p>Algorithmic power is accumulated at the hands of data companies that re-enforce new colonial dynamics. By taking a look at the Cambridge Analytica Scandal and the so-called content managers based in Manila, the myth about equal treatment in AI and predictive analytics will be tested. I argue that the data companies aim to control and change the political and social climates of the distance geographies by using both the analogue and the digital infrastructures.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Myth<\/h2>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:15%\"><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p><strong>AI treats everyone equally and makes predictions fairly.<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:15%\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"324\" height=\"189\" src=\"https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/03\/Busted-dark-tilted.png\" alt=\"\" class=\"wp-image-75374\" srcset=\"https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/03\/Busted-dark-tilted.png 324w, https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/03\/Busted-dark-tilted-60x35.png 60w, https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/03\/Busted-dark-tilted-180x105.png 180w, https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/03\/Busted-dark-tilted-50x29.png 50w\" sizes=\"auto, (max-width: 324px) 100vw, 324px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p>AI is expanding political hierarchies between the global north and the global south.<\/p>\n<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Watch the talk<\/h2>\n\n\n\n<div class=\"lyte-wrapper\" style=\"width:420px;max-width:100%;margin:5px auto;\"><div class=\"lyMe\" id=\"WYL_OjMMt5s2Zko\"><div id=\"lyte_OjMMt5s2Zko\" data-src=\"https:\/\/www.hiig.de\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=%2F%2Fi.ytimg.com%2Fvi%2FOjMMt5s2Zko%2Fhqdefault.jpg\" class=\"pL\"><div class=\"tC\"><div class=\"tT\"><\/div><\/div><div class=\"play\"><\/div><div class=\"ctrl\"><div class=\"Lctrl\"><\/div><div class=\"Rctrl\"><\/div><\/div><\/div><noscript><a href=\"https:\/\/youtu.be\/OjMMt5s2Zko\" rel=\"nofollow\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.hiig.de\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FOjMMt5s2Zko%2F0.jpg\" alt=\"YouTube video thumbnail\" width=\"420\" height=\"216\" \/><br \/>Watch this video on YouTube<\/a><\/noscript><\/div><\/div><div class=\"lL\" style=\"max-width:100%;width:420px;margin:5px auto;\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Materials<\/h2>\n\n\n\n<figure class=\"wp-block-table is-style-regular\"><table><tbody><tr><td><i class=\"fa fa-desktop\" style=\"padding: 0 20px; vertical-align: top;\"><\/i><\/td><td><a href=\"https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/04\/Why-AI_Pinar_Angepasst-.pptx.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Presentation slides<\/a><\/td><\/tr><tr><td><i class=\"fa fa-book\" style=\"padding: 0 20px; vertical-align: top;\"><\/i><\/td><td>CORE READINGS<br><br>Algorithms of Oppression. (2018). <em>NYU Press<\/em>. Retrieved 21 April 2021, from <a href=\"https:\/\/nyupress.org\/9781479837243\/algorithms-of-oppression\" target=\"_blank\" rel=\"noreferrer noopener\">NYU Press<\/a>.<br><br>Noble, S. U. (2018). <em>Algorithms of Oppression: How Search Engines Reinforce Racism<\/em>. <a href=\"https:\/\/doi.org\/10.2307\/j.ctt1pwt9w5\" target=\"_blank\" rel=\"noreferrer noopener\">NYU Press<\/a>. <br><br>Benjamin, R. (2020). Race After Technology: Abolitionist Tools for the New Jim Code. <em>Social Forces<\/em>, <em>98<\/em>(4), 1\u20133. <a href=\"https:\/\/doi.org\/10.1093\/sf\/soz162\">Read here<\/a>.<br><br>Tuzcu, P. (2016). \u201cAllow access to location?\u201d: Digital feminist geographies. <em>Feminist Media Studies<\/em>, <em>16<\/em>(1), 150\u2013163. <a href=\"https:\/\/doi.org\/10.1080\/14680777.2015.1093153\" target=\"_blank\" rel=\"noreferrer noopener\">Read here.<\/a><br><br>Tuzcu, P. (2020). Cyberkolonialismus und dekoloniale feministische Applikationen. In B. Hoffarth, E. Reuter, &amp; S. Richter (Eds.), <em>Geschlecht und Medien \u2013 R\u00e4ume, Deutungen, Repr\u00e4sentationen<\/em> (pp. 126\u2013148). <a href=\"http:\/\/www.campus.de\/buecher-campus-verlag\/wissenschaft\/soziologie\/geschlecht_und_medien-16230.html\" target=\"_blank\" rel=\"noreferrer noopener\">Campus Verlag.<\/a> <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">About the Author<\/h2>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:15%\">\n<figure class=\"wp-block-image size-large is-style-rounded\"><img loading=\"lazy\" decoding=\"async\" width=\"960\" height=\"1200\" src=\"https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/04\/pt-960x1200.jpg\" alt=\"\" class=\"wp-image-75834\" srcset=\"https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/04\/pt-960x1200.jpg 960w, https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/04\/pt-640x800.jpg 640w, https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/04\/pt-48x60.jpg 48w, https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/04\/pt-768x960.jpg 768w, https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/04\/pt-144x180.jpg 144w, https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/04\/pt-40x50.jpg 40w, https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/04\/pt-288x360.jpg 288w, https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/04\/pt-600x750.jpg 600w, https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/04\/pt-1228x1536.jpg 1228w, https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/04\/pt-1638x2048.jpg 1638w, https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/04\/pt-1320x1650.jpg 1320w, https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/04\/pt-scaled.jpg 2047w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p><strong>Pinar Tuzcu<\/strong><\/p>\n\n\n\n<p class=\"has-cyan-bluish-gray-color has-text-color\">Post-doc fellow at the Department of Sociology of Diversity at the University of Kassel, Germany<\/p>\n\n\n\n<p><a href=\"https:\/\/www.uni-kassel.de\/fb05\/fachgruppen\/soziologie\/soziologie-der-diversitaet\/personen\/dr-pinar-tuzcu.html\" target=\"_blank\" rel=\"noreferrer noopener\">Pinar Tuzcu<\/a> completed her PhD in 2015 at the Sociology of Diversity department at the University of Kassel. Between 2015-2019 she worked in different projects as a Post-doc researcher and held an interim professorship for the General Sociology department at the Justus-Liebig-Universit\u00e4t, Giessen from October 2019 to April 2020. Since April 2020, as one of the main applicants, she works as a coordinator of the project &#8220;Re:coding Algorithmic Culture&#8221; funded by the Volkswagen Foundation.<\/p>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator is-style-wide\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"block-838ffa38-c9ef-4a45-8681-37e759520200\">Why, AI?<\/h2>\n\n\n\n<p id=\"block-e1e0252f-6ce6-4748-a504-e4c5407d4f43\">This post is part of our project &#8220;Why, AI?&#8221;. It is a learning space which helps you to find out more about the myths and truths surrounding automation, algorithms, society and ourselves. It is continuously being filled with new contributions.<\/p>\n\n\n\n<p style=\"text-align: center;\"><a class=\"action\" href=\"https:\/\/www.hiig.de\/en\/dossier\/why-ai\/\" target=\"_blank\" rel=\"noopener\">Explore all myths<\/a><\/p>\n\n\n\n<hr class=\"wp-block-separator is-style-wide\" id=\"block-d07d6e74-736c-4785-a270-2d7b21b7f8d6\"\/>\n\n\n\n<p><\/p>\n<div class=\"shariff shariff-align-flex-start shariff-widget-align-flex-start\"><ul class=\"shariff-buttons theme-round orientation-horizontal buttonsize-medium\"><li class=\"shariff-button linkedin shariff-nocustomcolor\" style=\"background-color:#1488bf\"><a href=\"https:\/\/www.linkedin.com\/sharing\/share-offsite\/?url=https%3A%2F%2Fwww.hiig.de%2Fen%2Fmyth-ai-treats-everyone-equally-and-makes-predictions-fairly%2F\" title=\"Share on LinkedIn\" aria-label=\"Share on LinkedIn\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#0077b5; color:#fff\" target=\"_blank\"><span class=\"shariff-icon\" style=\"\"><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 27 32\"><path fill=\"#0077b5\" d=\"M6.2 11.2v17.7h-5.9v-17.7h5.9zM6.6 5.7q0 1.3-0.9 2.2t-2.4 0.9h0q-1.5 0-2.4-0.9t-0.9-2.2 0.9-2.2 2.4-0.9 2.4 0.9 0.9 2.2zM27.4 18.7v10.1h-5.9v-9.5q0-1.9-0.7-2.9t-2.3-1.1q-1.1 0-1.9 0.6t-1.2 1.5q-0.2 0.5-0.2 1.4v9.9h-5.9q0-7.1 0-11.6t0-5.3l0-0.9h5.9v2.6h0q0.4-0.6 0.7-1t1-0.9 1.6-0.8 2-0.3q3 0 4.9 2t1.9 6z\"\/><\/svg><\/span><\/a><\/li><li class=\"shariff-button bluesky shariff-nocustomcolor\" style=\"background-color:#84c4ff\"><a href=\"https:\/\/bsky.app\/intent\/compose?text=Myth%3A%20AI%20treats%20everyone%20equally%20and%20makes%20predictions%20fairly https%3A%2F%2Fwww.hiig.de%2Fen%2Fmyth-ai-treats-everyone-equally-and-makes-predictions-fairly%2F  via @hiigberlin.bsky.social\" title=\"Share on Bluesky\" aria-label=\"Share on Bluesky\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#0085ff; color:#fff\" target=\"_blank\"><span class=\"shariff-icon\" style=\"\"><svg width=\"20\" height=\"20\" version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 20 20\"><path class=\"st0\" d=\"M4.89,3.12c2.07,1.55,4.3,4.71,5.11,6.4.82-1.69,3.04-4.84,5.11-6.4,1.49-1.12,3.91-1.99,3.91.77,0,.55-.32,4.63-.5,5.3-.64,2.3-2.99,2.89-5.08,2.54,3.65.62,4.58,2.68,2.57,4.74-3.81,3.91-5.48-.98-5.9-2.23-.08-.23-.11-.34-.12-.25,0-.09-.04.02-.12.25-.43,1.25-2.09,6.14-5.9,2.23-2.01-2.06-1.08-4.12,2.57-4.74-2.09.36-4.44-.23-5.08-2.54-.19-.66-.5-4.74-.5-5.3,0-2.76,2.42-1.89,3.91-.77h0Z\"\/><\/svg><\/span><\/a><\/li><li class=\"shariff-button mailto shariff-nocustomcolor\" style=\"background-color:#a8a8a8\"><a href=\"mailto:?body=https%3A%2F%2Fwww.hiig.de%2Fen%2Fmyth-ai-treats-everyone-equally-and-makes-predictions-fairly%2F&subject=Myth%3A%20AI%20treats%20everyone%20equally%20and%20makes%20predictions%20fairly\" title=\"Send by email\" aria-label=\"Send by email\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#999; color:#fff\"><span class=\"shariff-icon\" style=\"\"><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 32 32\"><path fill=\"#999\" d=\"M32 12.7v14.2q0 1.2-0.8 2t-2 0.9h-26.3q-1.2 0-2-0.9t-0.8-2v-14.2q0.8 0.9 1.8 1.6 6.5 4.4 8.9 6.1 1 0.8 1.6 1.2t1.7 0.9 2 0.4h0.1q0.9 0 2-0.4t1.7-0.9 1.6-1.2q3-2.2 8.9-6.1 1-0.7 1.8-1.6zM32 7.4q0 1.4-0.9 2.7t-2.2 2.2q-6.7 4.7-8.4 5.8-0.2 0.1-0.7 0.5t-1 0.7-0.9 0.6-1.1 0.5-0.9 0.2h-0.1q-0.4 0-0.9-0.2t-1.1-0.5-0.9-0.6-1-0.7-0.7-0.5q-1.6-1.1-4.7-3.2t-3.6-2.6q-1.1-0.7-2.1-2t-1-2.5q0-1.4 0.7-2.3t2.1-0.9h26.3q1.2 0 2 0.8t0.9 2z\"\/><\/svg><\/span><\/a><\/li><\/ul><\/div>","protected":false},"excerpt":{"rendered":"<p>Algorithmic power is accumulated at the hands of data companies that re-enforce new colonial dynamics.<\/p>\n","protected":false},"author":289,"featured_media":76494,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1289,1582],"tags":[1108,686,1253,1244],"class_list":["post-75840","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-ftif-ai-and-society","tag-diskriminierung-2","tag-ki-2","tag-rassismus-en","tag-why-ai-en"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Myth: AI treats everyone equally and makes predictions fairly &#8211; Digital Society Blog<\/title>\n<meta name=\"description\" content=\"Algorithmic power is accumulated at the hands of data companies that re-enforce new colonial dynamics. The myth about equal treatment in AI and predictive analytics will be tested by taking a look at the Cambridge Analytica Scandal and the so-called content managers based in Manila.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.hiig.de\/en\/myth-ai-treats-everyone-equally-and-makes-predictions-fairly\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Myth: AI treats everyone equally and makes predictions fairly &#8211; Digital Society Blog\" \/>\n<meta property=\"og:description\" content=\"Algorithmic power is accumulated at the hands of data companies that re-enforce new colonial dynamics. The myth about equal treatment in AI and predictive analytics will be tested by taking a look at the Cambridge Analytica Scandal and the so-called content managers based in Manila.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.hiig.de\/en\/myth-ai-treats-everyone-equally-and-makes-predictions-fairly\/\" \/>\n<meta property=\"og:site_name\" content=\"HIIG\" \/>\n<meta property=\"article:published_time\" content=\"2021-06-17T09:30:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-03-28T12:04:20+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/04\/blog-vorhersagen.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1920\" \/>\n\t<meta property=\"og:image:height\" content=\"1080\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Lukas Fox\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Lukas Fox\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Myth: AI treats everyone equally and makes predictions fairly &#8211; Digital Society Blog","description":"Algorithmic power is accumulated at the hands of data companies that re-enforce new colonial dynamics. The myth about equal treatment in AI and predictive analytics will be tested by taking a look at the Cambridge Analytica Scandal and the so-called content managers based in Manila.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.hiig.de\/en\/myth-ai-treats-everyone-equally-and-makes-predictions-fairly\/","og_locale":"en_US","og_type":"article","og_title":"Myth: AI treats everyone equally and makes predictions fairly &#8211; Digital Society Blog","og_description":"Algorithmic power is accumulated at the hands of data companies that re-enforce new colonial dynamics. The myth about equal treatment in AI and predictive analytics will be tested by taking a look at the Cambridge Analytica Scandal and the so-called content managers based in Manila.","og_url":"https:\/\/www.hiig.de\/en\/myth-ai-treats-everyone-equally-and-makes-predictions-fairly\/","og_site_name":"HIIG","article_published_time":"2021-06-17T09:30:00+00:00","article_modified_time":"2023-03-28T12:04:20+00:00","og_image":[{"width":1920,"height":1080,"url":"https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/04\/blog-vorhersagen.png","type":"image\/png"}],"author":"Lukas Fox","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Lukas Fox","Est. reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.hiig.de\/en\/myth-ai-treats-everyone-equally-and-makes-predictions-fairly\/#article","isPartOf":{"@id":"https:\/\/www.hiig.de\/en\/myth-ai-treats-everyone-equally-and-makes-predictions-fairly\/"},"author":{"name":"Lukas Fox","@id":"https:\/\/www.hiig.de\/#\/schema\/person\/aed3e66f31e1c7d5e7aec61fe0b9d1f7"},"headline":"Myth: AI treats everyone equally and makes predictions fairly","datePublished":"2021-06-17T09:30:00+00:00","dateModified":"2023-03-28T12:04:20+00:00","mainEntityOfPage":{"@id":"https:\/\/www.hiig.de\/en\/myth-ai-treats-everyone-equally-and-makes-predictions-fairly\/"},"wordCount":330,"publisher":{"@id":"https:\/\/www.hiig.de\/#organization"},"image":{"@id":"https:\/\/www.hiig.de\/en\/myth-ai-treats-everyone-equally-and-makes-predictions-fairly\/#primaryimage"},"thumbnailUrl":"https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/04\/blog-vorhersagen.png","keywords":["diskriminierung","KI","rassismus","Why AI?"],"articleSection":["Artificial Intelligence","ftif AI and Society"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/www.hiig.de\/en\/myth-ai-treats-everyone-equally-and-makes-predictions-fairly\/","url":"https:\/\/www.hiig.de\/en\/myth-ai-treats-everyone-equally-and-makes-predictions-fairly\/","name":"Myth: AI treats everyone equally and makes predictions fairly &#8211; Digital Society Blog","isPartOf":{"@id":"https:\/\/www.hiig.de\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.hiig.de\/en\/myth-ai-treats-everyone-equally-and-makes-predictions-fairly\/#primaryimage"},"image":{"@id":"https:\/\/www.hiig.de\/en\/myth-ai-treats-everyone-equally-and-makes-predictions-fairly\/#primaryimage"},"thumbnailUrl":"https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/04\/blog-vorhersagen.png","datePublished":"2021-06-17T09:30:00+00:00","dateModified":"2023-03-28T12:04:20+00:00","description":"Algorithmic power is accumulated at the hands of data companies that re-enforce new colonial dynamics. The myth about equal treatment in AI and predictive analytics will be tested by taking a look at the Cambridge Analytica Scandal and the so-called content managers based in Manila.","breadcrumb":{"@id":"https:\/\/www.hiig.de\/en\/myth-ai-treats-everyone-equally-and-makes-predictions-fairly\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.hiig.de\/en\/myth-ai-treats-everyone-equally-and-makes-predictions-fairly\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.hiig.de\/en\/myth-ai-treats-everyone-equally-and-makes-predictions-fairly\/#primaryimage","url":"https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/04\/blog-vorhersagen.png","contentUrl":"https:\/\/www.hiig.de\/wp-content\/uploads\/2021\/04\/blog-vorhersagen.png","width":1920,"height":1080},{"@type":"BreadcrumbList","@id":"https:\/\/www.hiig.de\/en\/myth-ai-treats-everyone-equally-and-makes-predictions-fairly\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.hiig.de\/en\/"},{"@type":"ListItem","position":2,"name":"Myth: AI treats everyone equally and makes predictions fairly"}]},{"@type":"WebSite","@id":"https:\/\/www.hiig.de\/#website","url":"https:\/\/www.hiig.de\/","name":"HIIG","description":"Alexander von Humboldt Institute for Internet and Society","publisher":{"@id":"https:\/\/www.hiig.de\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.hiig.de\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.hiig.de\/#organization","name":"HIIG","url":"https:\/\/www.hiig.de\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.hiig.de\/#\/schema\/logo\/image\/","url":"https:\/\/www.hiig.de\/wp-content\/uploads\/2019\/06\/hiig.png","contentUrl":"https:\/\/www.hiig.de\/wp-content\/uploads\/2019\/06\/hiig.png","width":320,"height":80,"caption":"HIIG"},"image":{"@id":"https:\/\/www.hiig.de\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/www.hiig.de\/#\/schema\/person\/aed3e66f31e1c7d5e7aec61fe0b9d1f7","name":"Lukas Fox"}]}},"_links":{"self":[{"href":"https:\/\/www.hiig.de\/en\/wp-json\/wp\/v2\/posts\/75840","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hiig.de\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.hiig.de\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.hiig.de\/en\/wp-json\/wp\/v2\/users\/289"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hiig.de\/en\/wp-json\/wp\/v2\/comments?post=75840"}],"version-history":[{"count":17,"href":"https:\/\/www.hiig.de\/en\/wp-json\/wp\/v2\/posts\/75840\/revisions"}],"predecessor-version":[{"id":77762,"href":"https:\/\/www.hiig.de\/en\/wp-json\/wp\/v2\/posts\/75840\/revisions\/77762"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.hiig.de\/en\/wp-json\/wp\/v2\/media\/76494"}],"wp:attachment":[{"href":"https:\/\/www.hiig.de\/en\/wp-json\/wp\/v2\/media?parent=75840"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hiig.de\/en\/wp-json\/wp\/v2\/categories?post=75840"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hiig.de\/en\/wp-json\/wp\/v2\/tags?post=75840"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}