{"id":19,"date":"2023-03-04T21:54:20","date_gmt":"2023-03-04T20:54:20","guid":{"rendered":"https:\/\/www.jamaissanselles.fr\/biais-intelligence-artificielle\/?page_id=19"},"modified":"2023-03-09T01:27:12","modified_gmt":"2023-03-09T00:27:12","slug":"l-intelligence-artificielle-entretient-des-stereotypes-bien-reels","status":"publish","type":"page","link":"https:\/\/www.jamaissanselles.fr\/biais-intelligence-artificielle\/","title":{"rendered":"L\u2019intelligence artificielle entretient des st\u00e9r\u00e9otypes bien r\u00e9els"},"content":{"rendered":"

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L’intelligence artificielle<\/span>
entretient
des st\u00e9r\u00e9otypes
bien r\u00e9els.<\/span><\/h1>\n

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Lancer l’alerte sur les biais sexistes des intelligences artificielles (IA) est le but de cette campagne propos\u00e9e par le mouvement #JamaisSansElles<\/a> et l\u2019agence Havas Paris<\/a> \u00e0 l\u2019occasion de la journ\u00e9e internationale des droits des femmes\u00a0du 8 mars.<\/p>\n

Le mouvement f\u00e9ministe et humaniste #JamaisSansElles<\/a> est un do tank <\/em>qui propose des actions concr\u00e8tes pour promouvoir l\u2019\u00e9gale participation et visibilit\u00e9 des femmes, et faire progresser les mentalit\u00e9s et comportements.<\/p>\n

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Le sexisme de l’IA<\/span><\/h2>\n

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Lorsqu\u2019on utilise des IA g\u00e9n\u00e9ratrices d\u2019images comme Midjourney<\/a> ou Stable Diffusion<\/a>, les requ\u00eates \u201cneutres\u201d font largement appara\u00eetre des hommes quand il s\u2019agit d\u2019imaginer des m\u00e9tiers \u201cprestigieux\u201d, et des femmes quand il s\u2019agit de m\u00e9tiers moins \u201cremarquables\u201d \u2013 reproduisant ainsi les clich\u00e9s sexistes.<\/p>\n

Les IA deviennent un nouveau pouvoir dans notre soci\u00e9t\u00e9 : de plus en plus de prises de d\u00e9cision sont automatis\u00e9es gr\u00e2ce \u00e0 elles. Or, telles que con\u00e7ues actuellement, elles vont accro\u00eetre les in\u00e9galit\u00e9s entre les femmes et les hommes et entretenir les discriminations, voire les amplifier. Du moins si nous n\u2019y changeons rien !<\/p>\n

Comment les femmes \u00e9chapperont-elles aux st\u00e9r\u00e9otypes les associant trop souvent \u00e0 des m\u00e9tiers d\u00e9valoris\u00e9s socialement et \u00e9conomiquement, si les IA les y cantonnent et les invisibilisent dans les postes de pouvoir ? Ou si elles en proposent des repr\u00e9sentations hypersexualis\u00e9es ? Les hommes ne sont d\u2019ailleurs pas non plus \u00e0 l\u2019abri de st\u00e9r\u00e9otypes masculins r\u00e9ducteurs.<\/p>\n

Ces enjeux strat\u00e9giques et techniques d\u00e9passent largement le cercle des sp\u00e9cialistes. Ces questions doivent conduire \u00e0 l\u2019ouverture d\u2019un important d\u00e9bat de soci\u00e9t\u00e9. Cette journ\u00e9e du 8 mars est une opportunit\u00e9 pour #JamaisSanSelles, \u00e0 travers cette campagne, d’aider les diff\u00e9rents acteurs \u00e0 prendre conscience de cette urgence et \u00e0 se saisir concr\u00e8tement du probl\u00e8me.<\/p>\n

Toutes les parties prenantes, entreprises et institutions, doivent int\u00e9grer des correctifs de biais aux syst\u00e8mes d\u2019IA qu\u2019elles utilisent. Des solutions existent d\u00e9j\u00e0, d\u00e9velopp\u00e9es par des chercheurs et diverses start-ups.<\/p>\n

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Qu’est-ce que l’IA<\/span>\u00a0?<\/span><\/h2>\n

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Les intelligences artificielles sont des programmes con\u00e7us par des hommes, et quelques femmes (il y aurait entre 10 % et 20 % de femmes dans ce secteur), afin d\u2019ex\u00e9cuter des missions pr\u00e9cises.<\/span><\/p>\n

Contrairement \u00e0 ce que l\u2019on pourrait penser, elles ne reproduisent pas le raisonnement d’un humain. En fait, elles ne raisonnent pas : elles d\u00e9veloppent un algorithme interne qui conduit \u00e0 un r\u00e9sultat de mani\u00e8re automatique, sans repr\u00e9sentation mentale ou raisonnement, m\u00eame lorsqu\u2019elles font appel \u00e0 un r\u00e9seau neuronal<\/a>.<\/span><\/p>\n

Les IA et les algorithmes informatiques sont utilis\u00e9s par exemple pour optimiser la distribution d\u2019\u00e9lectricit\u00e9, d\u00e9pister des cancers ou remplir des t\u00e2ches plus larges, comme chatGPT<\/a> qui est capable de r\u00e9pondre en langage courant \u00e0 toutes les questions que vous vous posez, ou comme Midjourney<\/a>, Stable Diffusion<\/a> et DALL-E<\/a> de g\u00e9n\u00e9rer des images \u00e0 partir d\u2019une description que vous leur soumettez, et encore avec le projet Beethoven X<\/a> qui proposa de terminer la 10e<\/sup> symphonie inachev\u00e9e de Beethoven avec son style et sa technique de composition. Sans oublier les assistants num\u00e9riques, tels Siri et Alexa, qui se nichent dans nos t\u00e9l\u00e9phones intelligents.<\/span><\/p>\n

Par leur puissance et leur rapidit\u00e9 exceptionnelles, les IA surpassent tr\u00e8s largement les capacit\u00e9s humaines de calcul ou de production. Leurs possibilit\u00e9s sont immenses.<\/span><\/p>\n

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Que sont les biais des algorithmes\u00a0<\/span>?<\/span><\/h2>\n

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Pour d\u00e9velopper une \u201cintelligence artificielle\u201d, les ing\u00e9nieurs et les experts en datascience doivent la nourrir d\u2019une \u00e9norme quantit\u00e9 d\u2019informations, que l\u2019on appelle un dataset<\/em> (un jeu de donn\u00e9es), afin que le programme apprenant d\u00e9veloppe par lui-m\u00eame une forme de connaissance ou de repr\u00e9sentation du sujet sur lequel il devra travailler. C\u2019est comme si l\u2019on enfermait quelqu\u2019un dans une biblioth\u00e8que gigantesque pour lui faire apprendre par c\u0153ur, comprendre et assimiler les millions de livres qu’elle contient.<\/p>\n

Tout se passe bien quand le corpus d\u2019informations que l\u2019on fournit \u00e0 cette machine apprenante correspond au type et \u00e0 la qualit\u00e9 des r\u00e9sultats que l\u2019on recherche. Par exemple, pour le d\u00e9pistage ultra pr\u00e9coce du cancer du sein, les chercheurs ont utilis\u00e9 des centaines de milliers de mammographies pour entra\u00eener un mod\u00e8le qui permet d\u2019aider les m\u00e9decins \u00e0 d\u00e9pister des tumeurs, des mois, voire des ann\u00e9es plus t\u00f4t. Il faudrait \u00e9videmment cr\u00e9er un mod\u00e8le avec un tout autre ensemble de donn\u00e9es pour d\u00e9tecter d\u2019autres types de cancers.<\/p>\n

Quand une intelligence artificielle est entra\u00een\u00e9e \u00e0 l\u2019aide d\u2019un ensemble de donn\u00e9es massif, mais d\u00e9s\u00e9quilibr\u00e9, les r\u00e9sultats produits peuvent \u00eatre biais\u00e9s, et conduire \u00e0 des d\u00e9cisions ou des choix pr\u00e9judiciables.<\/p>\n

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C\u2019est le cas, par exemple, pour la reconnaissance faciale ou pour les applications g\u00e9n\u00e9ratives d\u2019images et de texte. Lorsque les datasets utilis\u00e9s pr\u00e9sentent des millions de photos d\u2019Europ\u00e9ens ou d\u2019Am\u00e9ricains du Nord, les programmes auront beaucoup plus de difficult\u00e9 \u00e0 reconna\u00eetre les visages de populations d\u2019autres r\u00e9gions du monde. Cela peut avoir de graves cons\u00e9quences quand il s\u2019agit de reconnaissance faciale dans des syst\u00e8mes de s\u00e9curit\u00e9 ou pour identifier des suspects dans une affaire criminelle.<\/p>\n

Ce n’est pas que les intentions des d\u00e9veloppeurs soient mauvaises, mais s\u2019ils utilisent des datasets qui ne sont repr\u00e9sentatifs que d\u2019une cat\u00e9gorie limit\u00e9e de personne ou d\u2019objets, les biais pr\u00e9sents dans ces donn\u00e9es ne pourront qu’\u00eatre reproduits par l’IA qui s’en sera nourrie. M\u00eame chose pour les st\u00e9r\u00e9otypes pr\u00e9sents dans la soci\u00e9t\u00e9 ou les secteurs d’activit\u00e9 d’o\u00f9 sont tir\u00e9es ces ensembles de donn\u00e9es.<\/p>\n

Cr\u00e9er un dataset \u00e9quilibr\u00e9 demande des efforts et des moyens importants, et aucun mod\u00e8le, bien s\u00fbr, ne sera parfait.<\/p>\n

Mais la r\u00e9duction des biais, quels qu’ils soient, doit \u00eatre un objectif central et syst\u00e9matique dans ce domaine.<\/p>\n

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Comment agir contre les biais
de l’IA <\/span>?<\/h2>\n

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C\u2019est une question qui s’adresse \u00e0 toute la soci\u00e9t\u00e9, \u00e0 chaque \u00eatre humain. Les parties prenantes, entreprises, institutions, centres de recherches, etc., doivent agir collectivement pour corriger les biais algorithmiques.<\/p>\n

Les acteurs du num\u00e9rique, quelle que soit leur taille, doivent adopter, d\u00e8s quajourd’hui, des bonnes pratiques afin d’instaurer une \u00e9thique de l’intelligence artificielle. Par exemple en inscrivant dans les pr\u00e9requis de tout projet d\u2019IA que les biais soient analys\u00e9s, quantifi\u00e9s et r\u00e9\u00e9quilibr\u00e9s avant la mise en production de l’outil.<\/p>\n

Si nous voulons un monde plus \u00e9quilibr\u00e9 pour les femmes et les hommes, un monde o\u00f9 la technologie r\u00e9sout plus de probl\u00e8mes pour le plus grand-nombre, il nous faut prendre conscience de ces biais et agir pour les corriger, dans la vie comme dans les algorithmes.<\/p>\n

Un engagement de la charte #JamaisSansElles<\/strong><\/p>\n

La charte #JamaisSansElles<\/strong> inclut d\u00e9sormais un article qui engage l\u2019entreprise ou l\u2019institution signataire \u00e0 lancer une d\u00e9marche de diagnostic des algorithmes qu\u2019elle utilise pour d\u00e9tecter leurs biais, notamment les biais de genre et les biais discriminants, et \u00e0 faire en sorte de les corriger.<\/p>\n

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ELLA, l\u2019IA de #JamaisSansElles au service de l\u2019\u00e9galit\u00e9 femmes-hommes<\/h2>\n

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ELLA<\/a> est la premi\u00e8re agente intelligente au service de la mixit\u00e9. Ce bot, cr\u00e9\u00e9 en 2018 par #JamaisSansElles et Flint<\/a>, propose une s\u00e9lection qualitative d’articles sur l\u2019\u00e9galit\u00e9 entre les femmes et les hommes.<\/p>\n

Nous l’avons form\u00e9e \u00e0 chercher l\u2019information sur ce th\u00e8me en triant avec elle plus de 16 000 articles de presse. C’est une intelligence artificielle positive.<\/p>\n

Pour recevoir sa newsletter, abonnez-vous ici<\/a>.<\/p>\n

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\u00c0 propos de #JamaisSansElles<\/h2>\n

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#JamaisSansElles<\/a> est un mouvement f\u00e9ministe et humaniste, fond\u00e9 par des femmes et des hommes, agissant en faveur de la mixit\u00e9 dans tous les domaines de la soci\u00e9t\u00e9. C\u2019est un do tank<\/em> qui propose des actions concr\u00e8tes et imm\u00e9diates pour promouvoir l\u2019\u00e9gale participation et visibilit\u00e9 des femmes dans les instances de d\u00e9cision et aux postes de responsabilit\u00e9 et de repr\u00e9sentation, contribuant ainsi \u00e0 briser le plafond de verre.<\/p>\n

Il agit aussi aupr\u00e8s des jeunes pour favoriser l\u2019\u00e9galit\u00e9 entre les filles et les gar\u00e7ons et \u0153uvrer contre les biais et les st\u00e9r\u00e9otypes de genre dans les m\u00e9tiers et les formations.<\/p>\n

Pour cela, #JamaisSansElles m\u00e8ne des actions co-construites en partenariat avec des entreprises et des institutions toujours plus nombreuses.<\/p>\n

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L’intelligence artificielleentretientdes st\u00e9r\u00e9otypesbien r\u00e9els.Lancer l’alerte sur les biais sexistes des intelligences artificielles (IA) est le but de cette campagne propos\u00e9e par le mouvement #JamaisSansElles et l\u2019agence Havas Paris \u00e0 l\u2019occasion de la journ\u00e9e internationale des droits des femmes\u00a0du 8 mars. Le mouvement f\u00e9ministe et humaniste #JamaisSansElles est un do tank qui propose des actions concr\u00e8tes […]<\/p>\n","protected":false},"author":2,"featured_media":212,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"795","footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-19","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"\nL\u2019intelligence artificielle entretient des st\u00e9r\u00e9otypes bien r\u00e9els - IA - #JamaisSansElles<\/title>\n<meta name=\"description\" content=\"Lancer l\u2019alerte sur les biais sexistes des intelligences artificielles est le but de cette campagne propos\u00e9e par le mouvement #JamaisSansElles et l\u2019agence Havas Paris \u00e0 l\u2019occasion de la journ\u00e9e internationale des droits des femmes du 8 mars.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.jamaissanselles.fr\/biais-intelligence-artificielle\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"L\u2019intelligence artificielle entretient des st\u00e9r\u00e9otypes bien r\u00e9els\" \/>\n<meta property=\"og:description\" content=\"Lancer l\u2019alerte sur les biais sexistes des intelligences artificielles est le but de cette campagne propos\u00e9e par le mouvement #JamaisSansElles et l\u2019agence Havas Paris \u00e0 l\u2019occasion de la journ\u00e9e internationale des droits des femmes du 8 mars.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.jamaissanselles.fr\/biais-intelligence-artificielle\/\" \/>\n<meta property=\"og:site_name\" content=\"L\u2019intelligence artificielle entretient des st\u00e9r\u00e9otypes bien r\u00e9els - 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