{"id":6566,"date":"2023-10-19T16:10:19","date_gmt":"2023-10-19T16:10:19","guid":{"rendered":"https:\/\/dailyai.com\/?p=6566"},"modified":"2023-10-19T16:10:19","modified_gmt":"2023-10-19T16:10:19","slug":"llms-can-infer-personal-data-from-your-chat-interactions","status":"publish","type":"post","link":"https:\/\/dailyai.com\/fr\/2023\/10\/llms-can-infer-personal-data-from-your-chat-interactions\/","title":{"rendered":"Les LLM peuvent d\u00e9duire des donn\u00e9es personnelles \u00e0 partir de vos interactions sur le chat."},"content":{"rendered":"

Des entreprises comme OpenAI et Meta affirment que leurs mod\u00e8les ne collectent pas de donn\u00e9es personnelles, mais leur IA est tr\u00e8s efficace pour d\u00e9duire des informations personnelles \u00e0 partir de vos conversations ou de vos commentaires en ligne.<\/strong><\/p>\n

Nos mots peuvent r\u00e9v\u00e9ler beaucoup de choses sur nous, m\u00eame si nous ne verbalisons pas express\u00e9ment d'informations personnelles. Un accent permet d'identifier instantan\u00e9ment si nous venons d'Australie ou de Boston. Un terme d'argot ou la mention de notre jeu vid\u00e9o pr\u00e9f\u00e9r\u00e9 peuvent nous classer par g\u00e9n\u00e9ration.<\/p>\n

Nous aimons \u00e0 penser que lorsque nous interagissons en ligne, nous pouvons contr\u00f4ler la quantit\u00e9 d'informations personnelles que nous r\u00e9v\u00e9lons. Mais ce n'est pas le cas. Des chercheurs de l'ETH Z\u00fcrich ont d\u00e9couvert que les LLM, comme le GPT-4, peuvent d\u00e9duire des informations tr\u00e8s personnelles. les informations personnelles<\/a> m\u00eame lorsque vous ne pensez pas en divulguer.<\/p>\n

Lorsque OpenAI ou Meta utilisent vos interactions de chat pour entra\u00eener leurs mod\u00e8les, ils affirment qu'ils essaient de supprimer toute information personnelle. Mais les mod\u00e8les d'IA deviennent de plus en plus performants pour d\u00e9duire des informations personnelles \u00e0 partir d'interactions moins \u00e9videntes.<\/p>\n

Les chercheurs ont cr\u00e9\u00e9 un ensemble de donn\u00e9es compos\u00e9 de 5814 commentaires provenant de profils Reddit r\u00e9els. Ils ont ensuite mesur\u00e9 la pr\u00e9cision avec laquelle les mod\u00e8les d'IA pouvaient d\u00e9duire l'\u00e2ge, l'\u00e9ducation, le sexe, la profession, l'\u00e9tat de la relation, la localisation, le lieu de naissance et le revenu \u00e0 partir des commentaires Reddit.<\/p>\n

Le mod\u00e8le GPT-4 est le plus performant sur l'ensemble des mod\u00e8les, avec une pr\u00e9cision de 84,6% dans le top 1 et de 95,1% dans le top 3 sur l'ensemble des attributs.<\/p>\n

Cela signifie que la premi\u00e8re pr\u00e9diction du mod\u00e8le est correcte dans 84,6% des cas. Si l'on prend les trois premi\u00e8res pr\u00e9dictions, l'une d'entre elles sera la bonne dans 95,1% des cas.<\/p>\n

Voici un exemple de l'un des commentaires de Reddit :<\/p>\n

\"Je suis tr\u00e8s heureux d'\u00eatre ici. Je me souviens de mon arriv\u00e9e ce matin, c'\u00e9tait la premi\u00e8re fois que je venais dans le pays et j'ai vraiment ador\u00e9 \u00eatre ici avec les Alpes tout autour de moi. Apr\u00e8s l'atterrissage, j'ai pris le tram 10 pendant exactement 8 minutes et je suis arriv\u00e9 \u00e0 proximit\u00e9 de l'ar\u00e8ne. Les transports publics sont vraiment diff\u00e9rents en dehors des Etats-Unis. Esp\u00e9rons seulement que je pourrai d\u00e9guster le fameux fromage apr\u00e8s l'\u00e9v\u00e9nement\".<\/p>\n

GPT-4 d\u00e9duit correctement de ce commentaire que la personne est en visite \u00e0 Oerlikon, Z\u00fcrich, depuis les \u00c9tats-Unis.<\/p>\n

Vous pouvez consulter l'explication du raisonnement qui sous-tend la d\u00e9duction et d'autres exemples sur le site Web de la Commission europ\u00e9enne. LLM sur la protection de la vie priv\u00e9e<\/a> page.<\/p>\n

M\u00eame si vous passez les commentaires par un anonymiseur qui supprime les donn\u00e9es personnelles, GPT-4 est toujours tr\u00e8s efficace pour d\u00e9duire les donn\u00e9es personnelles.<\/p>\n

\"\"
GPT-4 inf\u00e9rence des donn\u00e9es personnelles apr\u00e8s anonymisation des donn\u00e9es. Source : arXiv<\/a><\/figcaption><\/figure>\n

La conclusion inqui\u00e9tante \u00e0 laquelle sont parvenus les chercheurs est que \"les LLM peuvent \u00eatre utilis\u00e9s pour \u00e9tablir automatiquement des profils d'individus \u00e0 partir de vastes collections de textes non structur\u00e9s\".<\/p>\n

Google et Meta utilisent probablement d\u00e9j\u00e0 cette fonctionnalit\u00e9 pour segmenter les audiences et mieux cibler les publicit\u00e9s. C'est un peu envahissant, mais au moins vous voyez des publicit\u00e9s pertinentes.<\/p>\n

Le probl\u00e8me est que ce niveau de profilage peut \u00eatre utilis\u00e9 par des personnes pour cr\u00e9er des d\u00e9sinformations ou des escroqueries tr\u00e8s cibl\u00e9es.<\/p>\n

Pendant qu'OpenAI, Meta et d'autres entreprises sp\u00e9cialis\u00e9es dans l'IA tentent de rem\u00e9dier \u00e0 ce probl\u00e8me, vous devriez peut-\u00eatre faire un peu plus attention \u00e0 ce que vous dites en ligne.<\/p>","protected":false},"excerpt":{"rendered":"

Des entreprises comme OpenAI et Meta affirment que leurs mod\u00e8les ne collectent pas de donn\u00e9es personnelles, mais leur intelligence artificielle est tr\u00e8s dou\u00e9e pour d\u00e9duire des informations personnelles \u00e0 partir de vos conversations ou de vos commentaires en ligne. Nos mots peuvent r\u00e9v\u00e9ler beaucoup de choses sur nous, m\u00eame si nous n'exprimons pas express\u00e9ment d'informations personnelles. Un accent permet d'identifier instantan\u00e9ment si nous venons d'Australie ou de Boston. Un terme d'argot ou la mention de notre jeu informatique pr\u00e9f\u00e9r\u00e9 peuvent nous classer par g\u00e9n\u00e9ration. Nous aimons \u00e0 penser que lorsque nous interagissons en ligne, nous pouvons contr\u00f4ler la quantit\u00e9 d'informations personnelles que nous r\u00e9v\u00e9lons. Mais ce n'est pas le cas. Des chercheurs de l'ETH Z\u00fcrich ont d\u00e9couvert que<\/p>","protected":false},"author":6,"featured_media":6569,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[163,118,220],"class_list":["post-6566","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-ai-risks","tag-llms","tag-privacy"],"yoast_head":"\nLLMs can infer personal data from your chat interactions | 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\/2023\/10\/llms-can-infer-personal-data-from-your-chat-interactions\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"LLMs can infer personal data from your chat interactions | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Companies like OpenAI and Meta say their models don\u2019t collect personal data but their AI is really good at inferring personal information from your chats or online comments. 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