{"id":3984,"date":"2022-02-21T10:23:39","date_gmt":"2022-02-21T09:23:39","guid":{"rendered":"https:\/\/datascience.unifi.it\/?p=3984"},"modified":"2025-11-27T17:13:02","modified_gmt":"2025-11-27T16:13:02","slug":"algorithmic-discrimination-in-europe-challenges-and-opportunities-for-gender-equality-and-non-discrimination-law","status":"publish","type":"post","link":"https:\/\/datascience.unifi.it\/index.php\/2022\/02\/21\/algorithmic-discrimination-in-europe-challenges-and-opportunities-for-gender-equality-and-non-discrimination-law\/","title":{"rendered":"Algorithmic discrimination in Europe: Challenges and opportunities for gender equality and non-discrimination law"},"content":{"rendered":"<p>The Florence center for Data Science is pleased to invite you to the presentation of the special report &#8220;Algorithmic discrimination in Europe: Challenges and opportunities for gender equality and non-discrimination law&#8221;.<\/p>\n<p>&nbsp;<\/p>\n<div id=\"yui_patched_v3_18_1_1_1645434575372_281\" class=\"description-formatted extended\"><span class=\"visible-description\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-4000  alignleft\" src=\"https:\/\/datascience.unifi.it\/wp-content\/uploads\/2022\/02\/Gender-equality-1st-March-1-212x300.png\" alt=\"\" width=\"348\" height=\"492\" srcset=\"https:\/\/datascience.unifi.it\/wp-content\/uploads\/2022\/02\/Gender-equality-1st-March-1-212x300.png 212w, https:\/\/datascience.unifi.it\/wp-content\/uploads\/2022\/02\/Gender-equality-1st-March-1-724x1024.png 724w, https:\/\/datascience.unifi.it\/wp-content\/uploads\/2022\/02\/Gender-equality-1st-March-1-768x1086.png 768w, https:\/\/datascience.unifi.it\/wp-content\/uploads\/2022\/02\/Gender-equality-1st-March-1-1086x1536.png 1086w, https:\/\/datascience.unifi.it\/wp-content\/uploads\/2022\/02\/Gender-equality-1st-March-1-1448x2048.png 1448w\" sizes=\"auto, (max-width: 348px) 100vw, 348px\" \/>The report investigates how algorithmic discrimination challenges the set of legal guarantees put in place in Europe to combat discrimination and ensure equal treatment. More specifically, it examines whether and how the current gender equality and non-discrimination legislative framework in place in the EU can adequately capture and redress algorithmic discrimination. It explores the gaps and<\/span><span class=\"show-more-description\"> weaknesses that emerge at both the EU and national levels from the interaction between, on the one hand, the specific types of discrimination that arise when algorithms are used in decision-making systems and, on the other, the particular material and personal scope of the existing legislative framework. This report also maps out the existing legal solutions, accompanying policy measures and good practice to address and redress algorithmic discrimination both at EU and national levels. Moreover, this report proposes its own integrated set of legal, knowledge-based and technological solutions to the problem of algorithmic discrimination.\u00a0<\/span><\/div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>In order to promote the dissemination of this report among scientific communities as well as legal experts we contributing to the event with the University of Florence, through the DISEI Department of Economics and Management, in collaboration with ADGI Associazione Donne Giuriste Italia , and<span class=\"eventdesclarge\">\u00a0Comitato Pari Opportunit\u00e0 dell&#8217;Ordine degli Avvocati di Firenze<\/span> and <span class=\"eventdesclarge\">Fondazione per la Formazione Forense dell&#8217;Ordine degli Avvocati di Firenze.<\/span><\/p>\n<p>The event (in italian) will take place at Aula Magna Rettorato, on <b>Tuesday, 1st of March 2022<\/b> starting from\u00a0<b>3.00 pm. <\/b><\/p>\n<p>More information here:<b> <a href=\"https:\/\/datascience.unifi.it\/wp-content\/uploads\/2022\/02\/DISEI_Report_parita\u0300_genere_L_Rev1-.pdf\">Algorithmic discrimination in Europe<\/a><\/b><\/p>\n<p>European Commission, Directorate-General for Justice and Consumers, Gerards, J., Xenidis, R., <em>Algorithmic discrimination in Europe : challenges and opportunities for gender equality and non-discrimination law<\/em>, Publications Office, 2021, <a href=\"https:\/\/data.europa.eu\/doi\/10.2838\/77444\" target=\"_blank\" rel=\"noopener\">https:\/\/data.europa.eu\/doi\/10.2838\/77444<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Florence center for Data Science is pleased to invite you to the presentation of the special report &#8220;Algorithmic discrimination in Europe: Challenges and opportunities for gender equality and non-discrimination &#8230;<\/p>\n","protected":false},"author":12,"featured_media":3985,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[17],"tags":[],"class_list":["post-3984","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-event"],"_links":{"self":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/posts\/3984","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/comments?post=3984"}],"version-history":[{"count":10,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/posts\/3984\/revisions"}],"predecessor-version":[{"id":4001,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/posts\/3984\/revisions\/4001"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/media\/3985"}],"wp:attachment":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/media?parent=3984"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/categories?post=3984"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/tags?post=3984"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}