Un biais algorithmique est un d\u00e9faut syst\u00e9matique au sein d’un algorithme, conduisant \u00e0 des r\u00e9sultats biais\u00e9s ou injustes. Qu\u2019est-ce que le biais algorithmique ? C’est une erreur syst\u00e9matique dans un algorithme qui produit des r\u00e9sultats in\u00e9quitables, souvent en refl\u00e9tant les biais pr\u00e9sents dans les donn\u00e9es d’entra\u00eenement.<\/p>\n
Un algorithme apprend \u00e0 partir des donn\u00e9es qu’on lui fournit. Si ces donn\u00e9es refl\u00e8tent des biais, l’algorithme les apprendra et les reproduira dans ses pr\u00e9dictions. Imaginez un algorithme d’embauche entra\u00een\u00e9 sur des donn\u00e9es historiques o\u00f9 les hommes sont majoritairement promus. L’algorithme pourrait alors, \u00e0 tort, conclure que les hommes sont plus aptes \u00e0 des postes \u00e0 responsabilit\u00e9s et discriminer les femmes.<\/p>\n
En IA et en prompt engineering, le biais algorithmique est crucial car il peut perp\u00e9tuer et amplifier les in\u00e9galit\u00e9s existantes. Un biais dans un mod\u00e8le de langage peut g\u00e9n\u00e9rer des textes st\u00e9r\u00e9otyp\u00e9s ou discriminatoires. Dans le cadre du prompt engineering, si vos prompts contiennent des biais, le mod\u00e8le les refl\u00e9tera dans ses r\u00e9ponses, perp\u00e9tuant ainsi ces biais. Il est donc essentiel de comprendre et d’att\u00e9nuer ces biais pour construire des syst\u00e8mes d’IA \u00e9quitables et responsables.<\/p>\n
Un exemple courant est celui des syst\u00e8mes de reconnaissance faciale qui ont parfois du mal \u00e0 identifier correctement les personnes de couleur, car ils sont souvent entra\u00een\u00e9s sur des bases de donn\u00e9es majoritairement compos\u00e9es de visages blancs. En prompt engineering, si vous demandez \u00e0 un mod\u00e8le de g\u00e9n\u00e9rer une histoire sur un PDG, et que vos exemples d’entra\u00eenement mentionnent principalement des PDG hommes, le mod\u00e8le sera plus susceptible de g\u00e9n\u00e9rer des histoires avec des PDG hommes, perp\u00e9tuant le st\u00e9r\u00e9otype.<\/p>\n
Un biais algorithmique est un d\u00e9faut syst\u00e9matique au sein d’un algorithme, conduisant \u00e0 des r\u00e9sultats biais\u00e9s ou injustes. Qu\u2019est-ce que le biais algorithmique ? C’est une erreur syst\u00e9matique dans un algorithme qui produit des r\u00e9sultats in\u00e9quitables, souvent en refl\u00e9tant les biais pr\u00e9sents dans les donn\u00e9es d’entra\u00eenement. Comment fonctionne le biais algorithmique ? Un algorithme apprend […]<\/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":[120],"tags":[44,142,125,402,57,12],"class_list":["post-363","post","type-post","status-publish","format-standard","hentry","category-b","tag-apprentissage-automatique","tag-biais-algorithmique","tag-donnees-dentrainement","tag-equite-algorithmique","tag-intelligence-artificielle","tag-prompt-engineering"],"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":"Un biais algorithmique est un d\u00e9faut syst\u00e9matique au sein d’un algorithme, conduisant \u00e0 des r\u00e9sultats biais\u00e9s ou injustes. Qu\u2019est-ce que le biais algorithmique ? C’est une erreur syst\u00e9matique dans un algorithme qui produit des r\u00e9sultats in\u00e9quitables, souvent en refl\u00e9tant les biais pr\u00e9sents dans les donn\u00e9es d’entra\u00eenement. Comment fonctionne le biais algorithmique ? Un algorithme apprend\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/363","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=363"}],"version-history":[{"count":1,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/363\/revisions"}],"predecessor-version":[{"id":539,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/363\/revisions\/539"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=363"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=363"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=363"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}