{"id":4804,"date":"2023-08-30T08:57:03","date_gmt":"2023-08-30T08:57:03","guid":{"rendered":"https:\/\/dailyai.com\/?p=4804"},"modified":"2023-08-30T09:00:50","modified_gmt":"2023-08-30T09:00:50","slug":"google-trials-a-digital-watermark-to-identify-ai-images","status":"publish","type":"post","link":"https:\/\/dailyai.com\/it\/2023\/08\/google-trials-a-digital-watermark-to-identify-ai-images\/","title":{"rendered":"Google sperimenta una filigrana digitale per identificare le immagini di IA"},"content":{"rendered":"<p><strong>Il laboratorio di ricerca DeepMind di Google ha presentato una versione beta di SynthID, il suo nuovo strumento per il watermarking e l'identificazione delle immagini generate dall'intelligenza artificiale.<\/strong><\/p>\n<p><span style=\"font-weight: 400;\">La preoccupazione per i deepfake e per il potenziale dell'IA nel promuovere la disinformazione ha evidenziato la necessit\u00e0 di un modo per rilevare le immagini generate dall'IA.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Le filigrane convenzionali aggiunte alle immagini per motivi di copyright possono essere facilmente rimosse ritagliando, aggiungendo filtri o modificando. Anche i metadati possono essere eliminati dalle immagini.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">SynthID inserisce la filigrana digitale direttamente nei pixel dell'immagine. Il numero di pixel modificati \u00e8 cos\u00ec piccolo che la filigrana \u00e8 impercettibile all'occhio umano. Il ridimensionamento, il ritaglio o la riduzione della risoluzione dell'immagine non rimuovono la filigrana.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Se si sapesse dove si trova la filigrana, si potrebbe tecnicamente rimuoverla, ma si danneggerebbe l'immagine.<\/span><\/p>\n<p><iframe loading=\"lazy\" title=\"SynthID: un nuovo strumento per il watermarking e l&#039;identificazione dei contenuti generati dall&#039;IA\" width=\"1080\" height=\"608\" src=\"https:\/\/www.youtube.com\/embed\/fs9iKpaMfvY?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Google sta mettendo SynthID a disposizione di alcuni dei suoi clienti che utilizzano il suo generatore di immagini, Imagen, sulla piattaforma Vertex AI di Google.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Gli utenti che creano un'immagine con Imagen possono aggiungere il watermark o utilizzare SynthID per rilevare se un'immagine \u00e8 stata creata con Imagen. Non si tratta per\u00f2 di un metodo infallibile, in quanto il <\/span><a href=\"https:\/\/www.deepmind.com\/synthid\"><span style=\"font-weight: 400;\">post su DeepMind riconosciuto<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\"Lo strumento fornisce tre livelli di confidenza per interpretare i risultati dell'identificazione della filigrana. Se viene rilevata una filigrana digitale, \u00e8 probabile che parte dell'immagine sia stata generata da Imagen\".<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Il <\/span><a href=\"https:\/\/www.deepmind.com\/blog\/identifying-ai-generated-images-with-synthid\"><span style=\"font-weight: 400;\">Post sul blog di DeepMind<\/span><\/a><span style=\"font-weight: 400;\"> ha anche detto che \"SynthID non \u00e8 infallibile contro le manipolazioni estreme delle immagini\".<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">SynthID far\u00e0 la differenza?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Google non promuove lo strumento come una panacea per le immagini false, ma \u00e8 un inizio. Se il metodo si dimostrer\u00e0 efficace e si diffonder\u00e0 con altri generatori di immagini AI, potrebbe rendere pi\u00f9 facile individuare un falso.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Anche se venisse sviluppato un metodo infallibile basato su qualcosa come SynthID, come si farebbe a farlo rispettare? Ci sono cos\u00ec tanti generatori di immagini AI che si trovano al di fuori di qualsiasi tipo di regolamentazione.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Se non si pu\u00f2 impedire alle persone di usare <a href=\"https:\/\/dailyai.com\/it\/2023\/06\/pedophiles-are-using-ai-image-generators-to-generate-images-of-child-abuse\/\">L'intelligenza artificiale genera immagini di abusi su minori<\/a>Come si fa a costringerli ad aggiungere un watermark alle immagini false?<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Un'altra sfida per aziende come Google \u00e8 che, per promuovere la fiducia, uno strumento deve essere infallibile. Se si dice alle persone che un'immagine a sfondo politico ha una probabilit\u00e0 75% di essere falsa, non si eliminano le discussioni sulla sua autenticit\u00e0.<\/span><\/p>\n<p>Aggiungere un watermark come SynthID a un'immagine falsa sembra un'ottima idea, ma cosa impedisce a qualcuno di aggiungere un watermark simile a un'immagine autentica?<\/p>\n<p><span style=\"font-weight: 400;\">Il pensiero critico e una sana dose di scetticismo potrebbero essere la nostra migliore difesa contro i falsi dell'intelligenza artificiale ancora per un po'. <\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Il laboratorio di ricerca DeepMind di Google ha presentato la versione beta di SynthID, il suo nuovo strumento per il watermarking e l'identificazione delle immagini generate dall'intelligenza artificiale. La preoccupazione per i deepfake e per il potenziale di disinformazione dell'IA ha evidenziato la necessit\u00e0 di un modo per individuare le immagini generate dall'IA.  Le filigrane convenzionali aggiunte alle immagini per motivi di copyright possono essere facilmente rimosse ritagliando, aggiungendo filtri o modificando. Anche i metadati possono essere eliminati dalle immagini. SynthID incorpora la filigrana digitale direttamente nei pixel dell'immagine. Il numero di pixel modificati \u00e8 cos\u00ec piccolo che la filigrana \u00e8 impercettibile all'occhio umano. Ridimensionamento, ritaglio o riduzione<\/p>","protected":false},"author":6,"featured_media":2205,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[163,94,147,107,102],"class_list":["post-4804","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-ai-risks","tag-deep-fakes","tag-deepmind","tag-generative-ai","tag-google"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Google trials a digital watermark to identify AI images | 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\/it\/2023\/08\/google-trials-a-digital-watermark-to-identify-ai-images\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Google trials a digital watermark to identify AI images | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Google\u2019s DeepMind research lab has unveiled a beta version of SynthID, its new tool for watermarking and identifying AI-generated images. Concern over deepfakes and the potential for AI to promote disinformation has highlighted the need for a way to detect AI-generated images.\u00a0 Conventional watermarks added to images for copyright purposes can be easily removed by cropping, adding filters, or editing. Even metadata can be stripped from images. SynthID embeds the digital watermark directly into the pixels of the image. The number of edited pixels is so small that the watermark is imperceptible to the human eye. 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