{"id":8900,"date":"2024-01-05T10:10:26","date_gmt":"2024-01-05T10:10:26","guid":{"rendered":"https:\/\/dailyai.com\/?p=8900"},"modified":"2024-01-05T10:10:26","modified_gmt":"2024-01-05T10:10:26","slug":"we-judge-white-ai-faces-as-real-more-often-than-human-faces","status":"publish","type":"post","link":"https:\/\/dailyai.com\/fr\/2024\/01\/we-judge-white-ai-faces-as-real-more-often-than-human-faces\/","title":{"rendered":"Les visages blancs de l'IA sont plus souvent jug\u00e9s r\u00e9els que les visages humains"},"content":{"rendered":"

Les chercheurs ont constat\u00e9 que les gens sont g\u00e9n\u00e9ralement incapables d'identifier les visages r\u00e9els et ceux qui sont g\u00e9n\u00e9r\u00e9s par l'IA. Les visages hyperr\u00e9alistes g\u00e9n\u00e9r\u00e9s par l'IA sont plus souvent jug\u00e9s r\u00e9els que les visages humains.<\/strong><\/p>\n

L'\u00e9tude<\/a>dirig\u00e9e par l'universit\u00e9 nationale australienne, comprenait des exp\u00e9riences visant \u00e0 d\u00e9terminer si les gens pouvaient faire la diff\u00e9rence entre les visages humains et les visages g\u00e9n\u00e9r\u00e9s par l'IA, et quelles caract\u00e9ristiques conduisaient aux choix des gens.<\/p>\n

Des \u00e9tudes ant\u00e9rieures ont montr\u00e9 que les participants pouvaient rep\u00e9rer un visage d'IA non blanc dans environ 50% des cas. Dans cette \u00e9tude plus r\u00e9cente, on a montr\u00e9 \u00e0 un groupe de 124 adultes un m\u00e9lange de 100 visages d'IA et de 100 vrais visages blancs et on leur a demand\u00e9 d'identifier s'il s'agissait de visages r\u00e9els ou non.<\/p>\n

Les Visages g\u00e9n\u00e9r\u00e9s par l'IA<\/a> ont \u00e9t\u00e9 mal identifi\u00e9s comme humains dans 65,9% des cas, tandis que les visages humains n'ont \u00e9t\u00e9 jug\u00e9s humains que dans 51,1% des cas.<\/p>\n

Eva Krumhuber, coauteur de l'\u00e9tude, a d\u00e9clar\u00e9 : \"L'intelligence artificielle a atteint un niveau de r\u00e9alisme \u00e9tonnant, et nous constatons ici qu'elle peut parfois sembler plus r\u00e9elle que la r\u00e9alit\u00e9 - hyperr\u00e9alisme - de sorte que nous pouvons tr\u00e8s facilement \u00eatre amen\u00e9s \u00e0 penser qu'un visage g\u00e9n\u00e9r\u00e9 par l'IA est r\u00e9el\".<\/p>\n

Les participants ont \u00e9galement \u00e9t\u00e9 interrog\u00e9s sur le degr\u00e9 de certitude de leur \u00e9valuation. Dans un exemple classique de l'effet Dunning-Kruger, les participants qui ont fait le plus d'erreurs \u00e9taient les plus confiants dans la justesse de leur jugement.<\/p>\n

Elizabeth Miller, co-auteur de l'\u00e9tude et candidate au doctorat \u00e0 l'Australian National University, a d\u00e9clar\u00e9 : \"Il est inqui\u00e9tant de constater que les personnes qui pensaient le plus souvent que les visages de l'IA \u00e9taient r\u00e9els \u00e9taient paradoxalement les plus confiantes dans la justesse de leur jugement.\"<\/p>\n

Comment vous en seriez-vous sorti ? Lesquels sont r\u00e9els et lesquels sont g\u00e9n\u00e9r\u00e9s par l'IA ? Nous vous tiendrons au courant de vos r\u00e9sultats plus bas.<\/p>\n

\"\"
Visages les plus souvent class\u00e9s comme humains ou IA. Source : Sage Journals : Sage Journals<\/figcaption><\/figure>\n

Les chercheurs ont conclu que les visages g\u00e9n\u00e9r\u00e9s par l'IA ne sont pas seulement impossibles \u00e0 distinguer des visages humains, mais qu'ils pr\u00e9sentent des caract\u00e9ristiques qui les rendent encore plus r\u00e9els \u00e0 nos yeux. Ils ont appel\u00e9 cette caract\u00e9ristique des visages g\u00e9n\u00e9r\u00e9s par l'IA l'hyperr\u00e9alisme.<\/p>\n

Les chercheurs ont utilis\u00e9 StyleGAN2, un r\u00e9seau accusatoire g\u00e9n\u00e9ratif (GAN), pour g\u00e9n\u00e9rer les visages de l'IA. StyleGAN2 a \u00e9t\u00e9 entra\u00een\u00e9 sur un vaste ensemble de donn\u00e9es de visages humains, dont environ 69% pour les Blancs et 31% pour toutes les autres races combin\u00e9es.<\/p>\n

Les chercheurs ont conclu que la surrepr\u00e9sentation des visages blancs permettait au mod\u00e8le de g\u00e9n\u00e9rer des visages repr\u00e9sentant la moyenne de toutes ces caract\u00e9ristiques d'une mani\u00e8re qui les rendait plus humains qu'humains.<\/p>\n

L'article conclut que ce biais dans les ensembles de donn\u00e9es de formation soul\u00e8ve des questions importantes. Si les visages de l'IA semblent plus r\u00e9alistes pour les visages blancs que pour les autres groupes, leur utilisation confondra les perceptions de la race avec les perceptions d'\u00eatre \"humain\"\", note l'article.<\/p>\n

Si l'id\u00e9e qu'un mod\u00e8le d'IA se fait d'un visage humain est une moyenne non naturelle des traits du visage des Blancs, comment pourrait-il faire la distinction entre un v\u00e9ritable \u00eatre humain d'origine ethnique diff\u00e9rente et un faux mod\u00e8le d'IA si on lui demandait de le faire ?<\/p>\n

Amy Dawel, auteur principal de l'\u00e9tude, a d\u00e9clar\u00e9 : \"Si les visages blancs de l'IA sont syst\u00e9matiquement per\u00e7us comme plus r\u00e9alistes, cette technologie pourrait avoir de graves cons\u00e9quences pour les personnes de couleur en renfor\u00e7ant finalement les pr\u00e9jug\u00e9s raciaux en ligne.\"<\/p>\n

Quelles sont les caract\u00e9ristiques qui ont conduit \u00e0 ces erreurs ?<\/h2>\n

Il doit y avoir des caract\u00e9ristiques sp\u00e9cifiques d'un visage d'IA qui nous font penser qu'il est plus humain qu'un vrai visage humain. Dans la seconde exp\u00e9rience, 610 participants ont \u00e9t\u00e9 invit\u00e9s \u00e0 \u00e9valuer les visages d'IA et les visages humains sur une s\u00e9rie de 14 attributs, dont des caract\u00e9ristiques telles que l'attractivit\u00e9, le contact visuel et l'expressivit\u00e9.<\/p>\n

\"\"
Visages les plus souvent class\u00e9s comme humains ou IA, avec la classification correcte. Le pourcentage indique la proportion de participants ayant effectu\u00e9 cette classification. Source : Sage Journals : Sage Journals<\/figcaption><\/figure>\n

En combinant ces donn\u00e9es avec celles de la premi\u00e8re exp\u00e9rience, les chercheurs ont pu d\u00e9terminer ce qui rendait les gens plus susceptibles d'identifier un visage comme \u00e9tant g\u00e9n\u00e9r\u00e9 par l'IA ou comme \u00e9tant r\u00e9el.<\/p>\n

Ils ont constat\u00e9 que l'hyperr\u00e9alisme des visages de l'IA pouvait \u00eatre attribu\u00e9 au fait qu'ils sont \"significativement plus moyens (moins distinctifs), familiers et attrayants, et moins m\u00e9morables que les visages humains\".<\/p>\n

Le fait que nous soyons si prompts \u00e0 accepter qu'un visage d'IA soit r\u00e9el montre \u00e0 quel point il est important de disposer d'outils de d\u00e9tection de faux dans l'IA.<\/p>\n

Les chercheurs ont utilis\u00e9 les donn\u00e9es relatives aux attributs per\u00e7us par l'homme et \u00e0 la mani\u00e8re dont ils \u00e9taient utilis\u00e9s correctement et incorrectement lors de l'identification erron\u00e9e de visages d'IA, et ont cr\u00e9\u00e9 un mod\u00e8le d'apprentissage automatique pour rep\u00e9rer les visages d'IA. Le mod\u00e8le a \u00e9t\u00e9 en mesure de classer avec pr\u00e9cision le type de visage avec une exactitude de 94%.<\/p>\n

Il est peu probable que nous soumettions un visage \u00e0 un v\u00e9rificateur d'IA chaque fois que nous en voyons un en ligne. Et les g\u00e9n\u00e9rateurs de visages ne feront que s'am\u00e9liorer pour d\u00e9jouer les d\u00e9tecteurs de faux.<\/p>\n

Le Dr Dawel a r\u00e9sum\u00e9 la meilleure option face \u00e0 cette situation : \"\u00c9duquer les gens sur le r\u00e9alisme per\u00e7u des visages d'IA pourrait aider \u00e0 rendre le public raisonnablement sceptique quant aux images qu'il voit en ligne.\"<\/p>\n

Si nous nous rappelons que nous sommes vraiment mauvais pour rep\u00e9rer les faux, nous serons peut-\u00eatre moins enclins \u00e0 nous laisser berner par eux.<\/p>","protected":false},"excerpt":{"rendered":"

Les chercheurs ont constat\u00e9 que les gens sont g\u00e9n\u00e9ralement incapables d'identifier les visages r\u00e9els et ceux qui sont g\u00e9n\u00e9r\u00e9s par l'IA. Les visages hyperr\u00e9alistes g\u00e9n\u00e9r\u00e9s par l'IA sont plus souvent jug\u00e9s r\u00e9els que les visages humains. L'\u00e9tude, men\u00e9e par l'universit\u00e9 nationale australienne, comprenait des exp\u00e9riences visant \u00e0 d\u00e9terminer si les gens pouvaient faire la diff\u00e9rence entre les visages humains et les visages g\u00e9n\u00e9r\u00e9s par l'IA, et quelles caract\u00e9ristiques conduisaient aux choix des participants. Des \u00e9tudes ant\u00e9rieures ont montr\u00e9 que les participants pouvaient rep\u00e9rer un visage d'IA non blanc dans environ 50% des cas. Dans cette \u00e9tude plus r\u00e9cente, un groupe de 124 adultes s'est vu pr\u00e9senter un m\u00e9lange de 100 visages g\u00e9n\u00e9r\u00e9s par l'IA et de 100 vrais visages blancs<\/p>","protected":false},"author":6,"featured_media":8903,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[163,94,165],"class_list":["post-8900","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-ai-risks","tag-deep-fakes","tag-image-generation"],"yoast_head":"\nWe judge White AI faces as real more often than human faces | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/fr\/2024\/01\/we-judge-white-ai-faces-as-real-more-often-than-human-faces\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"We judge White AI faces as real more often than human faces | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers found that people are generally bad at identifying which faces are real and which are generated by AI. 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