{"id":93654,"date":"2024-01-29T10:16:33","date_gmt":"2024-01-29T10:16:33","guid":{"rendered":"https:\/\/www.artefact.com\/?post_type=event_listing&#038;p=93654"},"modified":"2026-03-08T12:47:19","modified_gmt":"2026-03-08T12:47:19","slug":"matinale-9-les-biais-de-genre-dans-lia","status":"publish","type":"event_listing","link":"https:\/\/www.artefact.com\/de\/events\/matinale-9-les-biais-de-genre-dans-lia\/","title":{"rendered":"Matinale #9 Les biais de genre dans l'IA et la Data : Comment y rem\u00e9dier ? - Paris"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--link_color: var(--awb-color6);--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-background-color:var(--awb-color1);--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:calc( 1440px + 20px );margin-left: calc(-20px \/ 2 );margin-right: calc(-20px \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:0px;--awb-spacing-left-large:10px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1\" style=\"--awb-text-color:var(--awb-color5);\"><p>Algorithmen und IA haben einen gro\u00dfen Einfluss auf verschiedene Aspekte unseres Lebens. In der KI kommt es zu einer algorithmischen Verbindung, wenn das Modell des maschinellen Lernens subjektiven Lerndaten ausgesetzt wird, anstatt einem repr\u00e4sentativen Ensemble, was zu einer Verschlechterung der Modellergebnisse f\u00fchrt und die Zuverl\u00e4ssigkeit der Entscheidungsfindung in Frage stellt.<\/p>\n<p>En collaboration avec notre collectif <a href=\"https:\/\/www.artefact.com\/de\/careers\/women-at-artefact\/\" target=\"_blank\" rel=\"noopener\">Women@Artefact<\/a> und in Begleitung von Experten f\u00fcr diese Themen schlagen wir vor, diese Zusammenh\u00e4nge zu erforschen und konkrete Ma\u00dfnahmen zu er\u00f6rtern, um eine ethische und gerechte Nutzung der IA zu f\u00f6rdern.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-1 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"margin:0;--fontSize:50;line-height:1.2;\"><div>Tagesordnung<\/div><\/h2><\/div><ul style=\"--awb-line-height:27.2px;--awb-icon-width:27.2px;--awb-icon-height:27.2px;--awb-icon-margin:11.2px;--awb-content-margin:38.4px;\" class=\"fusion-checklist fusion-checklist-1 fusion-checklist-default type-icons paddingList dark-text\"><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon fa-angle-right fas\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>9h | Accueil et networking<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon fa-angle-right fas\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>9h30 | Introduction et contexte par <strong>Emmanuel Malherbe<\/strong> und das Kollektiv <strong>Women@Artefact<\/strong><\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon fa-angle-right fas\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>9h40 | Pr\u00e4sentation algorithmischer Ans\u00e4tze zur Reduktion der Kostenbeteiligung durch <strong>Laurent Risser<\/strong>,<em> Ing\u00e9nieur de Recherche CNRS \u00e0 l'IMT<\/em> et illustration dans le cas de la computer vision par <strong>Veronika Schilowa<\/strong>, <em>Doktorandin an der Universit\u00e4t Toulouse III und Artefact<\/em>.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon fa-angle-right fas\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>10h | Keynote de <strong>Camilo Rodriguez<\/strong>, <em>Fondateur du <a href=\"https:\/\/mlab.ai\/\" target=\"_blank\" rel=\"noopener\">Labor f\u00fcr maschinelles Lernen<\/a><\/em><\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon fa-angle-right fas\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>10h20 | Keynote de <strong>Jean-Marie John-Mathews<\/strong>,<em> Co-Fondateur de <a href=\"https:\/\/www.giskard.ai\/\" target=\"_blank\" rel=\"noopener\">Giskard AI<\/a><\/em><\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon fa-angle-right fas\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>10h40 | Conclusion par Artefact puis \u00e9changes &amp; networking<\/p>\n<\/div><\/li><\/ul><div class=\"fusion-title title fusion-title-2 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"margin:0;--fontSize:50;line-height:1.2;\">Les Matinales de la Data par Artefact<\/h2><\/div><ul style=\"--awb-line-height:27.2px;--awb-icon-width:27.2px;--awb-icon-height:27.2px;--awb-icon-margin:11.2px;--awb-content-margin:38.4px;\" class=\"fusion-checklist fusion-checklist-2 fusion-checklist-default type-icons paddingList dark-text\"><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon fa-angle-right fas\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>Conf\u00e9rences tous les deux mois dans nos locaux - Des d\u00e9cideurs d\u00e9crypteront lors de prises de paroles et tables rondes, les probl\u00e9matiques Data actuelles et celles de demain.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon fa-angle-right fas\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>Networking - Treffen von Entscheidern und Akteuren aus der Welt der data, um sich gemeinsam \u00fcber die bestehenden Probleme und guten Praktiken auszutauschen.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon fa-angle-right fas\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>Retours d'exp\u00e9riences - Des experts et partenaires reviendront sur des use cases inspirants et applicables \u00e0 diff\u00e9rents secteurs d'activit\u00e9.<\/p>\n<\/div><\/li><\/ul><\/div><\/div><\/div><\/div>","protected":false},"featured_media":94177,"template":"","meta":{"_acf_changed":false,"ep_exclude_from_search":false},"country":[],"event_listing_category":[856],"event_listing_type":[2986],"class_list":["post-93654","event_listing","type-event_listing","status-publish","has-post-thumbnail","hentry","event_listing_category-data-consulting","event_listing_type-conferences"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/event_listing\/93654","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/event_listing"}],"about":[{"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/types\/event_listing"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/media\/94177"}],"wp:attachment":[{"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/media?parent=93654"}],"wp:term":[{"taxonomy":"country","embeddable":true,"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/country?post=93654"},{"taxonomy":"event_listing_category","embeddable":true,"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/event_listing_category?post=93654"},{"taxonomy":"event_listing_type","embeddable":true,"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/event_listing_type?post=93654"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}