{"id":4823,"date":"2022-12-04T19:32:25","date_gmt":"2022-12-05T00:32:25","guid":{"rendered":"http:\/\/skimai.com\/?p=4823"},"modified":"2024-04-29T17:27:40","modified_gmt":"2024-04-29T22:27:40","slug":"blog-ce-qui-rend-lai-explicable","status":"publish","type":"post","link":"https:\/\/skimai.com\/fr\/blog-what-makes-ai-explainable\/","title":{"rendered":"Qu'est-ce qui rend l'IA explicable ?"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_1 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table des mati\u00e8res<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table des mati\u00e8res\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/skimai.com\/fr\/blog-what-makes-ai-explainable\/#What_Makes_AI_Explainable\" >Qu'est-ce qui rend l'IA explicable ?<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/skimai.com\/fr\/blog-what-makes-ai-explainable\/#What_Exactly_is_Explainable_AI\" >Qu'est-ce que l'IA explicable ?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/skimai.com\/fr\/blog-what-makes-ai-explainable\/#The_Basic_Principles_of_Explainable_AI\" >Les principes de base de l'IA explicable<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/skimai.com\/fr\/blog-what-makes-ai-explainable\/#Examples_of_Explainable_AI\" >Exemples d'IA explicable<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/skimai.com\/fr\/blog-what-makes-ai-explainable\/#XAI_In_Healthcare\" >L'IAO dans les soins de sant\u00e9<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/skimai.com\/fr\/blog-what-makes-ai-explainable\/#XAI_In_Insurance\" >XAI dans l'assurance<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/skimai.com\/fr\/blog-what-makes-ai-explainable\/#XAI_In_Financial_Services\" >L'IAO dans les services financiers<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/skimai.com\/fr\/blog-what-makes-ai-explainable\/#Conclusion\" >Conclusion<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h1><span class=\"ez-toc-section\" id=\"What_Makes_AI_Explainable\"><\/span>Qu'est-ce qui rend l'IA explicable ?<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<p>Les applications de l'intelligence artificielle (IA) ont explos\u00e9 gr\u00e2ce au succ\u00e8s de l'apprentissage automatique. Les d\u00e9veloppements futurs devraient aboutir \u00e0 des syst\u00e8mes autonomes capables de percevoir, d'apprendre, de prendre des d\u00e9cisions et d'agir. Cependant, l'incapacit\u00e9 des machines de ces syst\u00e8mes \u00e0 justifier leurs choix et leurs comportements aupr\u00e8s des utilisateurs humains limite leur utilit\u00e9. Il faut donc d\u00e9velopper des syst\u00e8mes intelligents, autonomes et symbiotiques pour r\u00e9pondre aux enjeux auxquels nous sommes confront\u00e9s.<\/p>\n<p>L'IA est aujourd'hui appliqu\u00e9e dans de nombreux secteurs, y compris ceux qui ont une incidence directe sur la vie des gens, comme les soins de sant\u00e9, les services bancaires et la sant\u00e9 publique. <a href=\"https:\/\/www.unesco.org\/en\/artificial-intelligence\/rule-law\/mooc-judges#:~:text=The%20potential%20of%20AI%20is,%2Ffacilitating%20decision%2Dmaking%20processes\">m\u00eame la justice<\/a>. Nous leur demandons de justifier leurs actions et les facteurs qui ont conduit \u00e0 leurs d\u00e9cisions si nous pouvons faire confiance aux d\u00e9cisions informatiques dans ces secteurs.<\/p>\n<p>Ce billet traite de l'intelligence artificielle explicable (XAI), de ses techniques et principes cl\u00e9s, et de la mani\u00e8re dont nous pouvons les appliquer pour faire progresser les entreprises.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"What_Exactly_is_Explainable_AI\"><\/span>Qu'est-ce que l'IA explicable ?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Les organisations utilisent l'IA explicable, \u00e9galement connue sous le nom de XAI, comme un ensemble d'outils et de strat\u00e9gies permettant aux humains de comprendre plus facilement comment et pourquoi les mod\u00e8les se comportent comme ils le font.<\/p>\n<p>XAI est :<br \/>\nUn ensemble de techniques id\u00e9ales :<br \/>\nAider les autres \u00e0 comprendre comment un mod\u00e8le est form\u00e9. Il utilise certaines des meilleures pratiques et des lignes directrices que les scientifiques des donn\u00e9es utilisent depuis des ann\u00e9es.<br \/>\nComprendre le processus de formation et les donn\u00e9es utilis\u00e9es pour construire un mod\u00e8le peut nous aider \u00e0 d\u00e9cider de l'utiliser ou non.<br \/>\nIl met \u00e9galement en lumi\u00e8re les \u00e9ventuels biais que le mod\u00e8le a pu rencontrer.<br \/>\nUn ensemble de lignes directrices en mati\u00e8re de conception :<br \/>\nLes chercheurs se concentrent davantage sur la rationalisation du d\u00e9veloppement des syst\u00e8mes d'IA afin qu'ils soient intrins\u00e8quement plus simples \u00e0 comprendre.<br \/>\nUn ensemble d'outils :<br \/>\nEn incorporant ces enseignements dans les mod\u00e8les de formation au fur et \u00e0 mesure que les syst\u00e8mes deviennent plus clairs et en mettant ces enseignements \u00e0 la disposition des autres pour qu'ils les adoptent dans leurs mod\u00e8les. Les mod\u00e8les de formation peuvent encore \u00eatre am\u00e9lior\u00e9s.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"The_Basic_Principles_of_Explainable_AI\"><\/span>Les principes de base de l'IA explicable<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>L'Institut national des normes (NIST) \u00e9tablit <a href=\"https:\/\/www.nist.gov\/system\/files\/documents\/2020\/08\/17\/NIST%20Explainable%20AI%20Draft%20NISTIR8312%20%281%29.pdf\">quatre principes de l'intelligence artificielle explicable<\/a> pour clarifier davantage ce qu'est le XAI :<\/p>\n<p>Le besoin de \"preuves, de soutien ou de logique pour chaque r\u00e9sultat\" devrait \u00eatre satisfait par un syst\u00e8me d'IA.<br \/>\nUn syst\u00e8me d'IA doit offrir \u00e0 ses utilisateurs des explications qu'ils peuvent suivre.<br \/>\nPr\u00e9cision de l'explication. La m\u00e9thode suivie par le syst\u00e8me d'IA pour produire le r\u00e9sultat doit \u00eatre refl\u00e9t\u00e9e avec pr\u00e9cision dans l'explication.<br \/>\nLimites de la connaissance. Un syst\u00e8me d'IA ne doit fonctionner que dans les circonstances pour lesquelles il a \u00e9t\u00e9 con\u00e7u et doit s'abstenir de produire un r\u00e9sultat s'il n'est pas suffisamment s\u00fbr de lui.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Examples_of_Explainable_AI\"><\/span>Exemples d'IA explicable<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>De nombreux secteurs et fonctions professionnelles tirent profit de l'IAO. Voici quelques avantages pour certaines t\u00e2ches cl\u00e9s et certains secteurs d'activit\u00e9 qui utilisent l'XAI pour am\u00e9liorer leurs syst\u00e8mes d'IA.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"XAI_In_Healthcare\"><\/span>L'IAO dans les soins de sant\u00e9<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>L'utilisation de l'IA et de l'apprentissage automatique dans le secteur de la sant\u00e9 est tr\u00e8s r\u00e9pandue.  Cependant, les professionnels de la sant\u00e9 ne peuvent pas expliquer pourquoi des jugements ou des pr\u00e9visions sp\u00e9cifiques sont faits. Cela impose des restrictions sur le type de situations dans lesquelles la technologie de l'IA peut \u00eatre utilis\u00e9e.<\/p>\n<p>Avec l'aide de l'XAI, les professionnels de la sant\u00e9 peuvent d\u00e9terminer quels patients sont les plus susceptibles de n\u00e9cessiter une hospitalisation et quel type de soins serait le plus efficace. Gr\u00e2ce \u00e0 l'augmentation des informations, les m\u00e9decins sont d\u00e9sormais en mesure de prendre des d\u00e9cisions.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"XAI_In_Insurance\"><\/span>XAI dans l'assurance<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Le secteur de l'assurance ayant une influence consid\u00e9rable, les assureurs doivent faire confiance \u00e0 leurs syst\u00e8mes d'IA, les comprendre et les auditer afin d'en maximiser le potentiel. Gr\u00e2ce au XAI, les assureurs b\u00e9n\u00e9ficient d'une meilleure conversion des devis et d'une meilleure acquisition de clients, d'une productivit\u00e9 accrue, d'une baisse des taux de sinistres et d'une efficacit\u00e9 accrue.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"XAI_In_Financial_Services\"><\/span>L'IAO dans les services financiers<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Les entreprises du secteur financier utilisent activement le XAI. Elles visent \u00e0 offrir \u00e0 leurs clients une s\u00e9curit\u00e9 financi\u00e8re, une sensibilisation aux questions d'argent et une gestion de leur argent.<\/p>\n<p>Les services financiers utilisent l'XAI pour fournir des r\u00e9sultats \u00e9quitables, impartiaux et compr\u00e9hensibles \u00e0 leurs clients et \u00e0 leurs fournisseurs de services. En outre, elle permet aux organisations financi\u00e8res de maintenir leur adh\u00e9sion \u00e0 des principes moraux et justes tout en garantissant le respect de diverses obligations r\u00e9glementaires.<\/p>\n<p>L'IAO aide le secteur financier de plusieurs mani\u00e8res, notamment en am\u00e9liorant les pr\u00e9visions de march\u00e9, en garantissant l'\u00e9quit\u00e9 dans l'\u00e9valuation du cr\u00e9dit, en identifiant les caract\u00e9ristiques li\u00e9es au vol pour \u00e9viter les faux positifs et en r\u00e9duisant les d\u00e9penses possibles dues aux biais ou aux erreurs de l'IA.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span>Conclusion<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Les consommateurs et les d\u00e9cideurs doivent comprendre comment les mod\u00e8les g\u00e9n\u00e8rent des jugements en utilisant l'analyse pr\u00e9dictive aliment\u00e9e par l'apprentissage automatique. De m\u00eame, les organisations doivent comprendre comment l'IA prend des d\u00e9cisions afin d'\u00e9viter de s'appuyer aveugl\u00e9ment sur des mod\u00e8les \u00e0 bo\u00eete noire. L'IA explicable peut contribuer \u00e0 la compr\u00e9hension humaine et \u00e0 l'explication de l'apprentissage profond, des r\u00e9seaux neuronaux et des algorithmes d'apprentissage automatique. C'est l'une des conditions n\u00e9cessaires \u00e0 la mise en place d'une IA \u00e9thique et responsable.<\/p>","protected":false},"excerpt":{"rendered":"<p>What Makes AI Explainable? Artificial intelligence (AI) applications have exploded due to machine learning&#8217;s success. Future developments should result in autonomous systems that can perceive, learn, make decisions, and act. However, the incapacity of these systems&#8217; machines to justify their choices and behaviors to human users limits their usefulness. Therefore, we must develop intelligent, autonomous, [&hellip;]<\/p>\n","protected":false},"author":1003,"featured_media":4824,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"single-custom-post-template.php","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[125],"tags":[],"class_list":["post-4823","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-enterprise-ai-blog"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What Makes AI Explainable? - Skim AI<\/title>\n<meta name=\"description\" content=\"Artificial intelligence (AI) applications have exploded due to machine learning\u2019s success, but what exactly makes AI Explainable?\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/skimai.com\/fr\/blog-ce-qui-rend-lai-explicable\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What Makes AI Explainable? 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