IA<\/a>), les deepfakes apparaissent comme l\u2019une des applications les plus discut\u00e9es et controvers\u00e9es. Mais que sont exactement les deepfakes ? Ce sont des vid\u00e9os manipul\u00e9es via des algorithmes d\u2019IA pour les rendre extr\u00eamement r\u00e9alistes. L'objectif est de combiner ou de superposer des images et des vid\u00e9os existantes avec des artefacts cr\u00e9\u00e9s num\u00e9riquement. Par exemple, vous pouvez modifier le visage d'une personne dans une vid\u00e9o, changer ce qu'elle dit et m\u00eame synchroniser les mots avec les mouvements de son visage.<\/p>\nLe terme \u00ab deepfake \u00bb vient de la fusion de deux mots : \u00ab fake \u00bb, qui signifie faux, et \u00ab deep learning \u00bb, la technique d\u2019IA utilis\u00e9e pour g\u00e9n\u00e9rer ces vid\u00e9os. L'une des approches les plus courantes pour les cr\u00e9er utilise les r\u00e9seaux contradictoires g\u00e9n\u00e9ratifs (GAN), des r\u00e9seaux de neurones qui \u00ab se font concurrence \u00bb pour minimiser les erreurs et produire des r\u00e9sultats de plus en plus pr\u00e9cis.<\/p>\n
![\"\"](\"https:\/\/sendapp.live\/wp-content\/uploads\/2023\/09\/deep-fake_-intelligenza-artificiale_5.jpg\")
Comment fonctionnent les Deepfakes\u00a0: la technologie derri\u00e8re la magie<\/h2>\n
Cr\u00e9er un deepfake est un processus fascinant mais complexe. La m\u00e9thode la plus r\u00e9pandue repose sur les r\u00e9seaux de neurones qui utilisent la technique du \u00ab face swapping \u00bb. C\u2019est l\u00e0 qu\u2019intervient un algorithme appel\u00e9 autoencoder. Ce programme analyse un clip vid\u00e9o ou une photographie, \u00e9tudie l'apparence de l'individu sous diff\u00e9rents angles, puis mappe ces informations sur un autre individu. Cet \u00e9change de visage est r\u00e9alis\u00e9 de mani\u00e8re si sophistiqu\u00e9e qu\u2019il est presque impossible de le distinguer d\u2019une vraie vid\u00e9o.<\/p>\n
Risques associ\u00e9s aux Deepfakes\u00a0: au-del\u00e0 de la technologie<\/h2>\n
Malgr\u00e9 des applications potentiellement positives, les deepfakes pr\u00e9sentent des risques importants, surtout s\u2019ils sont mal utilis\u00e9s. Ces risques vont de la diffusion de fausses nouvelles \u00e0 la cr\u00e9ation de vid\u00e9os compromettantes \u00e0 des fins de vengeance personnelle ou de vengeance pornographique. En fait, les deepfakes ont une histoire qui remonte \u00e0 1997, lorsque le programme \u00ab Video Rewrite \u00bb a \u00e9t\u00e9 utilis\u00e9 pour la premi\u00e8re fois pour \u00e9diter des vid\u00e9os en ajoutant des d\u00e9tails qui n'\u00e9taient pas pr\u00e9sents dans la s\u00e9quence originale.<\/p>\n
Avec la puissance de calcul croissante disponible aujourd\u2019hui, la qualit\u00e9 des deepfakes s\u2019est consid\u00e9rablement am\u00e9lior\u00e9e. Cela les rend de plus en plus difficiles \u00e0 distinguer des vid\u00e9os authentiques, intensifiant ainsi les risques associ\u00e9s \u00e0 la d\u00e9sinformation et \u00e0 la manipulation des m\u00e9dias.<\/p>\n
![\"\"](\"https:\/\/sendapp.live\/wp-content\/uploads\/2023\/09\/deepfake-video-open-source.jpg\")
Protection de l'identit\u00e9 et de la vie priv\u00e9e\u00a0: mesures prises<\/h2>\n
Compte tenu de la gravit\u00e9 potentielle du vol d\u2019identit\u00e9 par le biais des deepfakes, plusieurs agences de protection de la vie priv\u00e9e publient des lignes directrices pour sensibiliser les citoyens \u00e0 l\u2019utilisation abusive de cette technologie. Toute personne repr\u00e9sent\u00e9e dans un deepfake sans son consentement perd non seulement le contr\u00f4le de son image, mais risque \u00e9galement de voir ses id\u00e9es et ses opinions d\u00e9form\u00e9es. Dans certains cas, des personnes peuvent \u00eatre pr\u00e9sent\u00e9es dans des situations ou des lieux qui peuvent \u00eatre compromettants et constituer une menace s\u00e9rieuse pour leur vie priv\u00e9e et leur dignit\u00e9.<\/p>\n
En conclusion, les deepfakes sont une double arme : si le potentiel en termes de cr\u00e9ation de contenu est immense, les risques associ\u00e9s sont tout aussi importants. La sensibilisation et l\u2019\u00e9ducation du public sont essentielles pour att\u00e9nuer les impacts n\u00e9gatifs de cette technologie \u00e9mergente.<\/p>","protected":false},"excerpt":{"rendered":"
Deepfakes\u00a0: manipulation vid\u00e9o gr\u00e2ce \u00e0 l'intelligence artificielle. Dans le monde en constante \u00e9volution de l'intelligence artificielle (IA), les deepfakes apparaissent comme l'une des applications les plus discut\u00e9es et controvers\u00e9es. Mais de quoi s'agit-il\u2026<\/p>","protected":false},"author":22,"featured_media":27094,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_daim_seo_power":"","_daim_enable_ail":"","footnotes":""},"categories":[2538],"tags":[2954,3696,3784,3785,3686,3788,872,3787,3786,3707,3791,3790,3789],"class_list":{"0":"post-27093","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-news","8":"tag-tecnologia","9":"tag-deepfake","10":"tag-deeplearning","11":"tag-eticaia","12":"tag-fakenews","13":"tag-furtodiidentita","14":"tag-privacy","15":"tag-retineurali","16":"tag-revengeporn","17":"tag-riconoscimentofacciale","18":"tag-scambiodivolti","19":"tag-verificadeifatti","20":"tag-videomanipolati"},"yoast_head":"\n
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