{"id":835,"date":"2026-04-11T23:02:48","date_gmt":"2026-04-11T23:02:48","guid":{"rendered":"https:\/\/caisi.local\/research_project\/ia-diagnostic-medical-precoce\/"},"modified":"2026-04-20T23:42:22","modified_gmt":"2026-04-20T23:42:22","slug":"ia-diagnostic-medical-precoce","status":"publish","type":"research_project","link":"https:\/\/aisafety.ca\/fr\/research_project\/ia-diagnostic-medical-precoce\/","title":{"rendered":"Cadre statistique unifi\u00e9 pour \u00e9valuer les risques de d\u00e9faillances rares des mod\u00e8les de langage"},"content":{"rendered":"

L\u2019un des principaux d\u00e9fis de l\u2019alignement de l\u2019IA consiste \u00e0 mesurer des taux de d\u00e9faillance extr\u00eamement faibles, \u00e0 savoir des probabilit\u00e9s si minimes qu\u2019aucun test ordinaire ne peut les d\u00e9tecter. Les d\u00e9faillances dites \u00ab de longue tra\u00eene \u00bb, comme les d\u00e9bridages (jailbreaks), le contournement des politiques ou des manquements subtils aux r\u00e8gles de s\u00e9curit\u00e9, sont parmi les moins bien surveill\u00e9es. Cette lacune rend impossible toute comparaison entre les mod\u00e8les, l\u2019\u00e9tablissement de normes de s\u00e9curit\u00e9 et l\u2019\u00e9valuation de la r\u00e9gression des mod\u00e8les. La titulaire de chaire en IA Canada-CIFAR Bei Jiang propose de r\u00e9soudre ce probl\u00e8me en recourant \u00e0 des outils statistiques \u00e9prouv\u00e9s pour l\u2019analyse d\u2019\u00e9v\u00e9nements rares, des m\u00e9thodes actuellement sous-utilis\u00e9es dans l\u2019\u00e9valuation des grands mod\u00e8les de langage.<\/p>\n","protected":false},"excerpt":{"rendered":"

Proc\u00e9der \u00e0 l\u2019analyse quantitative d\u2019\u00e9v\u00e9nements rares \u00e0 l\u2019aide d\u2019outils statistiques \u00e9prouv\u00e9s pour mieux comparer les mod\u00e8les, \u00e9tablir des normes de s\u00e9curit\u00e9 et mesurer la r\u00e9gression des mod\u00e8les.<\/p>\n","protected":false},"featured_media":650,"template":"","ai-safety-technique":[62,63],"application-area":[76],"project-type":[84],"research-theme":[92],"class_list":["post-835","research_project","type-research_project","status-publish","has-post-thumbnail","hentry","ai-safety-technique-analyse-des-risques-emergents","ai-safety-technique-evaluation-et-analyse-comparative","application-area-grands-modeles-de-langage","project-type-projet-sur-lalignement-de-lia","research-theme-ia-fiable-et-interpretable"],"acf":[],"yoast_head":"\nCadre statistique unifi\u00e9 pour \u00e9valuer les risques de d\u00e9faillances rares des mod\u00e8les de langage<\/title>\n<meta name=\"description\" content=\"Proc\u00e9der 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