{"id":827,"date":"2025-01-31T16:34:00","date_gmt":"2025-01-01T09:00:00","guid":{"rendered":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/e\/definition_equite-algorithmique\/"},"modified":"2025-06-05T23:29:46","modified_gmt":"2025-06-05T21:29:46","slug":"definition-equite-algorithmique","status":"publish","type":"post","link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/e\/definition-equite-algorithmique\/","title":{"rendered":"\u00c9quit\u00e9 algorithmique"},"content":{"rendered":"<p>L&rsquo;\u00e9quit\u00e9 algorithmique est un concept crucial pour garantir que l&rsquo;intelligence artificielle (IA) ne perp\u00e9tue ni n&rsquo;amplifie les biais existants dans nos soci\u00e9t\u00e9s. Qu&rsquo;est-ce que l&rsquo;\u00e9quit\u00e9 algorithmique ?  C&rsquo;est le principe selon lequel les syst\u00e8mes d&rsquo;IA doivent traiter tous les individus et groupes de mani\u00e8re juste et impartiale, sans discrimination.<\/p>\n<h3>Comment fonctionne l&rsquo;\u00e9quit\u00e9 algorithmique ?<\/h3>\n<p>L&rsquo;\u00e9quit\u00e9 algorithmique vise \u00e0 minimiser les biais dans les donn\u00e9es d&rsquo;entra\u00eenement, les algorithmes et les r\u00e9sultats produits par les syst\u00e8mes d&rsquo;IA. Imaginez une banque utilisant un algorithme pour accorder des pr\u00eats. Si les donn\u00e9es historiques montrent que les pr\u00eats sont majoritairement accord\u00e9s aux hommes, l&rsquo;algorithme pourrait apprendre \u00e0 discriminer les femmes, m\u00eame si le genre n&rsquo;est pas explicitement utilis\u00e9.  L&rsquo;\u00e9quit\u00e9 algorithmique cherche \u00e0 corriger ces biais pour que l&rsquo;algorithme \u00e9value les demandes de pr\u00eat sur des crit\u00e8res pertinents, comme la solvabilit\u00e9, et non sur des caract\u00e9ristiques prot\u00e9g\u00e9es comme le genre ou l&rsquo;origine ethnique.<\/p>\n<h3>Pourquoi l&rsquo;\u00e9quit\u00e9 algorithmique est-elle importante ?<\/h3>\n<p>L&rsquo;\u00e9quit\u00e9 algorithmique est essentielle pour construire une IA responsable et \u00e9thique.  Des algorithmes biais\u00e9s peuvent avoir des cons\u00e9quences graves, comme le refus de pr\u00eats, des diagnostics m\u00e9dicaux erron\u00e9s ou des discriminations \u00e0 l&#8217;embauche. En promouvant l&rsquo;\u00e9quit\u00e9 algorithmique, on vise \u00e0 cr\u00e9er des syst\u00e8mes d&rsquo;IA qui profitent \u00e0 tous et contribuent \u00e0 une soci\u00e9t\u00e9 plus juste. Par exemple, dans le domaine du prompt engineering, l&rsquo;\u00e9quit\u00e9 algorithmique peut guider la conception de prompts qui \u00e9vitent de g\u00e9n\u00e9rer des r\u00e9ponses st\u00e9r\u00e9otyp\u00e9es ou discriminatoires.<\/p>\n<h3>Termes associ\u00e9s<\/h3>\n<ul id=\"TermesAssocies\">\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Biais+algorithmique\">Biais algorithmique<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=%C3%89thique+de+l%27IA\">\u00c9thique de l&rsquo;IA<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Justice+algorithmique\">Justice algorithmique<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Interpr%C3%A9tabilit%C3%A9+des+mod%C3%A8les\">Interpr\u00e9tabilit\u00e9 des mod\u00e8les<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Donn%C3%A9es+d%27entra%C3%AEnement\">Donn\u00e9es d&rsquo;entra\u00eenement<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>L&rsquo;\u00e9quit\u00e9 algorithmique est un concept crucial pour garantir que l&rsquo;intelligence artificielle (IA) ne perp\u00e9tue ni n&rsquo;amplifie les biais existants dans nos soci\u00e9t\u00e9s. Qu&rsquo;est-ce que l&rsquo;\u00e9quit\u00e9 algorithmique ? C&rsquo;est le principe selon lequel les syst\u00e8mes d&rsquo;IA doivent traiter tous les individus et groupes de mani\u00e8re juste et impartiale, sans discrimination. Comment fonctionne l&rsquo;\u00e9quit\u00e9 algorithmique ? L&rsquo;\u00e9quit\u00e9 [&hellip;]<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[98],"tags":[142,125,402,102,440,441],"class_list":["post-827","post","type-post","status-publish","format-standard","hentry","category-e","tag-biais-algorithmique","tag-donnees-dentrainement","tag-equite-algorithmique","tag-ethique-de-lia","tag-interpretabilite-des-modeles","tag-justice-algorithmique"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"","author_link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/author\/"},"uagb_comment_info":0,"uagb_excerpt":"L&rsquo;\u00e9quit\u00e9 algorithmique est un concept crucial pour garantir que l&rsquo;intelligence artificielle (IA) ne perp\u00e9tue ni n&rsquo;amplifie les biais existants dans nos soci\u00e9t\u00e9s. Qu&rsquo;est-ce que l&rsquo;\u00e9quit\u00e9 algorithmique ? C&rsquo;est le principe selon lequel les syst\u00e8mes d&rsquo;IA doivent traiter tous les individus et groupes de mani\u00e8re juste et impartiale, sans discrimination. Comment fonctionne l&rsquo;\u00e9quit\u00e9 algorithmique ? L&rsquo;\u00e9quit\u00e9\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/827","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/comments?post=827"}],"version-history":[{"count":1,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/827\/revisions"}],"predecessor-version":[{"id":1046,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/827\/revisions\/1046"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=827"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=827"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=827"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}