{"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\/fr\/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>Les algorithmes et l'IA ont une influence majeure sur divers aspects de notre vie. En IA, le biais algorithmique survient lorsque le mod\u00e8le de machine learning est expos\u00e9 \u00e0 des donn\u00e9es d'apprentissage subjectives plut\u00f4t qu'\u00e0 un ensemble repr\u00e9sentatif, provoquant une d\u00e9viation des r\u00e9sultats du mod\u00e8le et remettant en question la fiabilit\u00e9 de la prise de d\u00e9cision.<\/p>\n<p>En collaboration avec notre collectif <a href=\"https:\/\/www.artefact.com\/fr\/careers\/women-at-artefact\/\" target=\"_blank\" rel=\"noopener\">Women@Artefact<\/a> et accompagn\u00e9s par des experts de ces enjeux, nous vous proposons d'explorer ces biais et de discuter des moyens concrets pour les att\u00e9nuer, afin de favoriser une utilisation \u00e9thique et \u00e9quitable de l'IA.<\/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>Ordre du jour<\/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> et le collectif <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\u00e9sentation des approches algorithmiques de r\u00e9duction des biais par <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 Shilova<\/strong>, <em>Doctorante \u00e0 l'Universit\u00e9 Toulouse III et 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\">Laboratoire d'apprentissage automatique<\/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 - Rencontre entre les d\u00e9cideurs et acteurs de l'univers de la data afin d'\u00e9changer entre pairs sur les enjeux et bonnes pratiques existantes.<\/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\/fr\/wp-json\/wp\/v2\/event_listing\/93654","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.artefact.com\/fr\/wp-json\/wp\/v2\/event_listing"}],"about":[{"href":"https:\/\/www.artefact.com\/fr\/wp-json\/wp\/v2\/types\/event_listing"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.artefact.com\/fr\/wp-json\/wp\/v2\/media\/94177"}],"wp:attachment":[{"href":"https:\/\/www.artefact.com\/fr\/wp-json\/wp\/v2\/media?parent=93654"}],"wp:term":[{"taxonomy":"country","embeddable":true,"href":"https:\/\/www.artefact.com\/fr\/wp-json\/wp\/v2\/country?post=93654"},{"taxonomy":"event_listing_category","embeddable":true,"href":"https:\/\/www.artefact.com\/fr\/wp-json\/wp\/v2\/event_listing_category?post=93654"},{"taxonomy":"event_listing_type","embeddable":true,"href":"https:\/\/www.artefact.com\/fr\/wp-json\/wp\/v2\/event_listing_type?post=93654"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}