{"id":845,"date":"2026-04-11T23:02:48","date_gmt":"2026-04-11T23:02:48","guid":{"rendered":"https:\/\/caisi.local\/research_project\/analyse-sentiment-langues-rares\/"},"modified":"2026-04-20T23:37:56","modified_gmt":"2026-04-20T23:37:56","slug":"analyse-sentiment-langues-rares","status":"publish","type":"research_project","link":"https:\/\/aisafety.ca\/fr\/research_project\/analyse-sentiment-langues-rares\/","title":{"rendered":"\u00c9chantillonnage d\u2019explications latentes \u00e0 partir de GML au profit d\u2019un raisonnement s\u00fbr et interpr\u00e9table"},"content":{"rendered":"

S\u2019assurer que les GML produisent des r\u00e9sultats fiables et interpr\u00e9tables constitue un objectif majeur de la communaut\u00e9 de recherche sur la s\u00e9curit\u00e9 de l\u2019IA. Le titulaire de chaire en IA Canada-CIFAR Yoshua Bengio veillera \u00e0 ce que les GML fournissent des explications plus fiables en d\u00e9ployant des r\u00e9seaux de flot g\u00e9n\u00e9ratif d\u2019une mani\u00e8re novatrice. Il se consacre \u00e0 entra\u00eener l\u2019IA \u00e0 expliquer ce que disent les humains, en examinant les raisons cach\u00e9es qui sous-tendent les d\u00e9cisions de l\u2019IA et en \u00e9valuant leur pr\u00e9cision afin de d\u00e9m\u00ealer les causes sous-jacentes de ce que l\u2019IA produit. En fin de compte, ce projet vise \u00e0 \u00e9tablir un garde-fou de surveillance pour les agents d\u2019IA qui peut mener \u00e0 un d\u00e9ploiement plus s\u00e9curitaire de l\u2019IA dans de nombreuses applications.<\/p>\n","protected":false},"excerpt":{"rendered":"

Concevoir un m\u00e9canisme de surveillance des agents d\u2019IA visant \u00e0 assurer un d\u00e9ploiement plus s\u00fbr dans de nombreuses applications.<\/p>\n","protected":false},"featured_media":645,"template":"","ai-safety-technique":[64,66],"application-area":[76],"project-type":[85],"research-theme":[92],"class_list":["post-845","research_project","type-research_project","status-publish","has-post-thumbnail","hentry","ai-safety-technique-interpretabilite-et-explicabilite","ai-safety-technique-securite-integree-des-la-conception","application-area-grands-modeles-de-langage","project-type-projet-catalyseur","research-theme-ia-fiable-et-interpretable"],"acf":[],"yoast_head":"\n\u00c9chantillonnage d\u2019explications latentes \u00e0 partir de GML au profit d\u2019un raisonnement s\u00fbr et interpr\u00e9table<\/title>\n<meta name=\"description\" content=\"Concevoir un m\u00e9canisme de surveillance des agents d\u2019IA visant \u00e0 assurer un d\u00e9ploiement plus s\u00fbr dans de 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