{"id":4312,"date":"2019-05-21T00:00:00","date_gmt":"2019-05-20T22:00:00","guid":{"rendered":"https:\/\/www.tool4staffing.com\/2019\/05\/21\/recrutements-lia-sera-t-elle-aussi-raciste-et-sexiste-que-nous\/"},"modified":"2025-10-29T16:53:58","modified_gmt":"2025-10-29T15:53:58","slug":"recrutements-lia-sera-t-elle-aussi-raciste-et-sexiste-que-nous","status":"publish","type":"post","link":"https:\/\/staging.tool4staffing.com\/?p=4312","title":{"rendered":"Recrutement : l\u2019IA sera-t-elle aussi raciste et sexiste que nous ?"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"> En 2016, \u00e0 peine lanc\u00e9e, le chatbot Tay de Microsoft <a rel=\"noreferrer noopener\" aria-label=\" (s\u2019ouvre dans un nouvel onglet)\" href=\"https:\/\/www.lepoint.fr\/high-tech-internet\/meme-les-robots-peuvent-devenir-racistes-et-antisemites-25-03-2016-2027867_47.php\" target=\"_blank\">d\u00e9rapait&nbsp;sur Twitter<\/a> : propos n\u00e9gationnistes, apologie d\u2019 Hitler\u2026ses cr\u00e9ateurs l\u2019ont d\u00e9branch\u00e9 apr\u00e8s seulement 24h. En 2017, un an plus tard, ce fut le tour d\u2019une autre intelligence artificielle, nomm\u00e9e Glove, de <a href=\"https:\/\/www.lemonde.fr\/pixels\/article\/2017\/04\/15\/quand-l-intelligence-artificielle-reproduit-le-sexisme-et-le-racisme-des-humains_5111646_4408996.html\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (s\u2019ouvre dans un nouvel onglet)\">reproduire des st\u00e9r\u00e9otypes grossiers<\/a>&nbsp;: les femmes associ\u00e9es aux arts, les hommes aux professions scientifiques\u2026<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Pourquoi certaines Intelligences Artificielles, que l\u2019on nous pr\u00e9sente comme le progr\u00e8s absolu, finissent par reproduire les discours de Tonton Fernand apr\u00e8s 3 verres de vin rouge&nbsp;? Pour comprendre il faut se pencher sur le mode de fonctionnement &nbsp;de ce que la plupart des scientifiques refusent d\u2019appeler \u00ab&nbsp;Intelligence&nbsp;\u00bb Artificielle. Beaucoup lui refusent cet honneur, et pr\u00e9f\u00e8re utiliser le terme \u201cApprentissage R\u00e9cursif\u201d. Explication.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Lorsque les machines gagnent aux \u00e9checs ou au jeu de go, cr\u00e9ent de la musique classique ou des vid\u00e9os criantes de v\u00e9rit\u00e9, elles ne font appel \u00e0 aucun type de r\u00e9flexion. Elles r\u00e9alisent simplement un nombre consid\u00e9rable de \u201ctests\/erreurs\u201d qui leur permet finalement de proposer un comportement adapt\u00e9.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u00c0 titre de comparaison&nbsp;: si vous mettez une grenouille face \u00e0 un piano minuscule, et que vous lui envoyez une d\u00e9charge chaque fois qu\u2019elle fait une fausse note, elle finira par savoir jouer du Chopin. Probl\u00e8me&nbsp;: \u00e0 raison de 100 fausses notes par jours il lui faudra sans doute quelques centaines d\u2019ann\u00e9es. Une IA, elle, peut r\u00e9aliser plusieurs millions de tests\/erreurs par seconde. Elle battra donc la grenouille \u00e0 plate couture dans l\u2019apprentissage du piano, mais n\u2019aura pas une r\u00e9flexion bien sup\u00e9rieure. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Pour apprendre les machines ont donc besoin de distinguer ce qu\u2019est une erreur (une fausse note) de ce qui n\u2019en est pas (une note juste). Les algorithmes des chatbots, pour r\u00e9aliser leur apprentissage tests\/erreurs, ont donc besoin d\u2019une base de donn\u00e9es gigantesques de \u00ab&nbsp;r\u00e9ponses&nbsp;\u00bb qui sonnent justes. Pour certaines, notamment Tay de Microsoft, ce fut Twitter. Elle a donc explor\u00e9 les r\u00e9ponses donn\u00e9es \u00e0 des milliards de questions sur ce r\u00e9seau social, et en a d\u00e9duit une trame de discussion la plus humaine possible.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tout l\u2019apprentissage des machines et donc bas\u00e9 sur la reproduction du comportement qu\u2019elle a appris, sans r\u00e9flexion ni analyse de ce dernier. Il est donc normal que ces \u00ab&nbsp;Intelligences&nbsp;\u00bb reproduisent les biais et st\u00e9r\u00e9otypes v\u00e9hicul\u00e9s sur ces derniers. Y compris pour les th\u00e9ories les plus violentes&nbsp;: ces th\u00e9ories sont en g\u00e9n\u00e9ral plus activement d\u00e9fendue par leurs partisans que la recette de la courge \u00e0 la tomate.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Ce genre d\u2019incidents nous interroge sur l\u2019utilisation de l\u2019IA, \u00e0 l\u2019heure o\u00f9 nous lui confions de plus en plus d\u2019\u00e9l\u00e9ments de d\u00e9cisions. Quelle est la limite \u00e9thique de la d\u00e9marche&nbsp;? Si on peut pardonner Tonton Fernand, voire se dire qu\u2019il changera, qu\u2019en est-il d\u2019une machine&nbsp;? <\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a rel=\"noreferrer noopener\" aria-label=\" (s\u2019ouvre dans un nouvel onglet)\" href=\"https:\/\/www.linkedin.com\/in\/valerietouraine\/?originalSubdomain=fr\" target=\"_blank\">Val\u00e9rie Touraine<\/a>, CEO du chatbot RH <a href=\"https:\/\/www.hellojai.com\/\">JAI <\/a>&#8211; <a href=\"https:\/\/www.lemondeinformatique.fr\/actualites\/lire-jobijoba-croque-jai-specialise-dans-les-chatbots-rh-74184.html\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (s\u2019ouvre dans un nouvel onglet)\">r\u00e9cemment acquis par JobiJoba<\/a>, nuance : \u201cUn chatbot peut reposer sur une v\u00e9ritable IA ou de simples arbres de discussions. Chez JAI, pour une exp\u00e9rience candidat unique, nous utilisons les deux. D&rsquo;une part, notre brique d&rsquo;Intelligence Artificielle (aussi appel\u00e9 NLU) est entra\u00een\u00e9e sur l&rsquo;ensemble des discussions avec les candidats par une \u00e9quipe de datascientists qui ma\u00eetrise son apprentissage. Ainsi on \u00e9vite l\u2019effet bo\u00eete noire. Cela nous permet de comprendre les questions des candidats afin d&rsquo;y r\u00e9pondre au mieux. D&rsquo;autre part, nous avons des sc\u00e9narios guid\u00e9s pour accompagner le candidat dans sa d\u00e9couverte de l&rsquo;entreprise et de ses offres.\u00a0\u00bb<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Et surtout, pr\u00e9cise-t-elle, \u201ctoute la qualit\u00e9 d\u2019une IA vient du choix de la base d\u2019entra\u00eenement, s\u00e9lectionn\u00e9e et optimis\u00e9e par les data scientists\u201d. Quand on voit l\u2019agressivit\u00e9 bien connue des \u00e9changes sur Twitter, on peut se demander comment ceux de Microsoft ont pu esp\u00e9rer un r\u00e9sultat diff\u00e9rent ?<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Une certitude : ces notions de \u201cqualit\u00e9 d\u2019IA\u201d vont se poser de plus en plus, et un peu plus de transparence sera de mise. Dans notre article \u00ab\u00a0<a href=\"https:\/\/tool4staffing.com\/blog\/codification-de-base-candidats-comment-eviter-leffet-pole-emploi\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (s\u2019ouvre dans un nouvel onglet)\">L&rsquo;effet p\u00f4le emploi<\/a>\u00bb , nous pointions d\u00e9j\u00e0 du doigt les limitations d&rsquo;une qualification trop rigide la base. Algorithmes de matching, recherche s\u00e9mantique\u2026tous ces outils doivent \u00eatre au service de l\u2019utilisateur et non pas ent\u00e9riner des biais contre lesquels il faut lutter. Chez Tool4staffing nous s\u00e9lectionnons avec soin nos outils d\u2019Intelligence Artificielle. Ils sont en outre pens\u00e9s pour proposer une puissante aide \u00e0 la d\u00e9cision, mais en aucun cas s\u2019y substituer. Le temps gagn\u00e9 est notable, la base candidats infiniment mieux qualifi\u00e9e, et le dernier regard lui, reste humain. C\u2019est pour nous un engagement fort, dans un domaine o\u00f9 la discrimination est, on le sait, encore tr\u00e8s pr\u00e9sente.<\/p>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\"> <strong><a rel=\"noreferrer noopener\" aria-label=\" (s\u2019ouvre dans un nouvel onglet)\" href=\"https:\/\/tool4staffing.com\/demonstration-gratuite\/\" target=\"_blank\">>> DEMANDEZ UNE D\u00c9MO GRATUITE &lt;&lt;\u00a0<\/a><\/strong><a rel=\"noreferrer noopener\" aria-label=\" (s\u2019ouvre dans un nouvel onglet)\" href=\"https:\/\/tool4staffing.com\/demonstration-gratuite\/\" target=\"_blank\"> <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>En 2016, \u00e0 peine lanc\u00e9e, le chatbot Tay de Microsoft d\u00e9rapait&nbsp;sur Twitter : propos n\u00e9gationnistes, apologie d\u2019 Hitler\u2026ses cr\u00e9ateurs l\u2019ont d\u00e9branch\u00e9 apr\u00e8s seulement 24h. En 2017, un an plus tard, ce fut le tour d\u2019une autre intelligence artificielle, nomm\u00e9e Glove, de reproduire des st\u00e9r\u00e9otypes grossiers&nbsp;: les femmes associ\u00e9es aux arts, les hommes aux professions scientifiques\u2026 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":4313,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[20],"tags":[],"class_list":["post-4312","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-carte-blanche"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Recrutement : l&#039;IA est-elle aussi raciste et sexiste que nous? 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