{
    "id": 20594,
    "date": "2025-03-06T14:08:08",
    "date_gmt": "2025-03-06T13:08:08",
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    "modified": "2025-03-06T14:08:09",
    "modified_gmt": "2025-03-06T13:08:09",
    "slug": "grain-forme-pres-dune-centaine-de-personnes-sur-lintelligence-artificielle-et-le-genre",
    "status": "publish",
    "type": "post",
    "link": "https:\/\/grain-africa.org\/fr\/grain-forme-pres-dune-centaine-de-personnes-sur-lintelligence-artificielle-et-le-genre\/",
    "title": {
        "rendered": "GRAIN forme pr\u00e8s d\u2019une centaine de personnes sur l\u2019Intelligence Artificielle et le Genre"
    },
    "content": {
        "rendered": "<p><\/p>\n\n\n\n<p>Environ une centaine de participant.e.s ont pris part, le vendredi 21 f\u00e9vrier 2025, \u00e0 la formation en ligne sur l&#8217;Intelligence Artificielle et le Genre organis\u00e9e par le r\u00e9seau GRAIN (Gender and Responsible Artificial Intelligence Network).<\/p>\n\n\n\n<p>En effet, dans le cadre du projet Grain et surtout de l\u2019animation de son r\u00e9seau, des formations en pr\u00e9sentiel et en ligne sont offertes dans le but de sensibiliser et d\u2019outiller un large public sur les bonnes pratiques \u00e0 adopter dans le domaine du Genre et de l\u2019intelligence Artificielle.<\/p>\n\n\n\n<p>Sous la conduite de Ndeye Fatou Ciss\u00e9, experte en Genre \u00e0 l&#8217;Ipar, la formation visait \u00e0 approfondir les connaissances des participant.e.s concernant l&#8217;int\u00e9gration du genre dans les projets li\u00e9s \u00e0 l&#8217;IA.<\/p>\n\n\n\n<p>Suite \u00e0 la pr\u00e9sentation et l&#8217;expos\u00e9 des objectifs par Ndeye Fatou Mboup, experte en Intelligence Artificielle et coordinatrice du projet Grain, Mme Ciss\u00e9, responsable de la formation, a anim\u00e9 une pr\u00e9sentation sur le th\u00e8me : &#8220;Genre, intelligence artificielle et inclusion : poser les bases d\u2019un \u00e9cosyst\u00e8me responsable et \u00e9quitable&#8221;<strong>.<\/strong><\/p>\n\n\n\n<p>Dans sa pr\u00e9sentation, elle est revenue sur la d\u00e9construction des st\u00e9r\u00e9otypes de genre, la promotion de bonnes pratiques pour une IA plus inclusive, ainsi que l\u2019am\u00e9lioration de la compr\u00e9hension de quelques concepts de genre tels que les St\u00e9r\u00e9otypes sexistes, l\u2019\u00e9galit\u00e9 de genre, l\u2019inclusion sociale, l\u2019intersectionnalit\u00e9 entre autres.<\/p>\n\n\n\n<p>Pour une bonne int\u00e9gration du genre dans l\u2019IA, elle a propos\u00e9 le concept \u00ab Gender Mainstreaming \u00bb qui est une approche int\u00e9gr\u00e9e pour inclure la dimension de genre \u00e0 toutes les \u00e9tapes des politiques publiques ainsi l\u2019utilisation de l\u2019IA pour r\u00e9duire les disparit\u00e9s dans l\u2019\u00e9ducation, la sant\u00e9, l\u2019emploi et l\u2019acc\u00e8s aux technologies.<\/p>\n\n\n\n<p>En somme, son intervention encourage une IA plus \u00e9quitable en int\u00e9grant la perspective de genre afin de lutter contre les discriminations et de promouvoir une soci\u00e9t\u00e9 inclusive.<\/p>\n\n\n\n<p>Dans une d\u00e9marche participative et collaborative, les divers groupes ont r\u00e9alis\u00e9 des travaux pratiques visant \u00e0 identifier et \u00e0 corriger les biais de genre dans les solutions IA. En clair, il s\u2019agissait de proposer des solutions pour des politiques d\u2019emplois plus inclusives au S\u00e9n\u00e9gal ; renforcer la pr\u00e9sence des femmes dans les m\u00e9tiers li\u00e9s \u00e0 l\u2019IA ; utiliser l\u2019IA pour lutter contre les violences bas\u00e9es sur le genre et \u00e9valuer l\u2019impact des politiques publiques sur les femmes.&nbsp;<\/p>\n\n\n\n<p>Les diff\u00e9rents r\u00e9sultats ressortis de ces travaux de groupe ont permis d\u2019identifier des solutions mettant en avant l\u2019importance de l\u2019innovation technologique ; des politiques inclusives ; de la sensibilisation et de la r\u00e9glementation pour lutter contre les discriminations et favoriser l\u2019\u00e9quit\u00e9 dans l\u2019emploi, la protection contre les VGB ; la participation des femmes aux instances de d\u00e9cision ; la n\u00e9cessit\u00e9 d\u2019augmenter la pr\u00e9sence des femmes dans les diff\u00e9rentes \u00e9tapes de production de l\u2019intelligence artificielle ; notamment la conception, le codage, la programmation, le d\u00e9veloppement, le management et l\u2019\u00e9valuation ; la formation des femmes et des jeunes pour une utilisation optimale de l\u2019IA ; la r\u00e9duction de la discrimination, l\u2019analyse de donn\u00e9es entre autres.<\/p>\n\n\n\n<p>Parmi les recommandations issues de cette session de formation, l\u2019on peut retenir : le r\u00f4le de l\u2019intelligence artificielle dans la lutte contre les disparit\u00e9s entre le genre dans des secteurs tels que l\u2019\u00e9ducation, la sant\u00e9, l\u2019emploi ou l\u2019acc\u00e8s aux technologies ainsi que le r\u00f4le de l\u2019IA dans l\u2019\u00e9valuation des impacts des politiques publiques sur les femmes.<\/p>\n  <div class=\"related-post grid\">\r\n        <div class=\"headline\">Articles similaires<\/div>\r\n    <div class=\"post-list\">\r\n\r\n            <div class=\"item\">\r\n            <div class=\"thumb post_thumb\">\r\n    <a  title=\"STEM ET EDUCATION : RECHERCHE DES GAPS LI\u00c9S AU GENRE\" href=\"https:\/\/grain-africa.org\/fr\/stem-et-education-recherche-des-gaps-lies-au-genre\/?related_post_from=579\">\r\n\r\n              <img decoding=\"async\" src=\"http:\/\/grain-africa.org\/wp-content\/uploads\/2020\/03\/GRAIN_newlogo_273_-removebg-preview-1.png\" title=\"STEM ET EDUCATION : RECHERCHE DES GAPS LI\u00c9S AU GENRE\" alt=\"STEM ET EDUCATION : RECHERCHE DES GAPS LI\u00c9S AU GENRE\">\r\n\r\n      \r\n\r\n    <\/a>\r\n  <\/div>\r\n\r\n  <a class=\"title post_title\"  title=\"STEM ET EDUCATION : RECHERCHE DES GAPS LI\u00c9S AU GENRE\" href=\"https:\/\/grain-africa.org\/fr\/stem-et-education-recherche-des-gaps-lies-au-genre\/?related_post_from=579\">\r\n        STEM ET EDUCATION : RECHERCHE DES GAPS LI\u00c9S AU GENRE  <\/a>\r\n\r\n  <p class=\"excerpt post_excerpt\">\r\n    Not that long ago, people lived and functioned in tight communities. 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