{"id":12408,"date":"2024-05-20T15:19:13","date_gmt":"2024-05-20T15:19:13","guid":{"rendered":"https:\/\/dailyai.com\/?p=12408"},"modified":"2024-05-20T15:19:13","modified_gmt":"2024-05-20T15:19:13","slug":"googles-frontier-safety-framework-mitigates-severe-ai-risks","status":"publish","type":"post","link":"https:\/\/dailyai.com\/it\/2024\/05\/googles-frontier-safety-framework-mitigates-severe-ai-risks\/","title":{"rendered":"Il Frontier Safety Framework di Google attenua i \"gravi\" rischi dell'intelligenza artificiale"},"content":{"rendered":"<p><strong>Google ha pubblicato la prima versione del suo Frontier Safety Framework, una serie di protocolli che mirano ad affrontare i gravi rischi che i potenti modelli di AI di frontiera del futuro potrebbero presentare.<\/strong><\/p>\n<p>Il framework definisce i livelli di capacit\u00e0 critica (CCL), che sono soglie alle quali i modelli possono rappresentare un rischio maggiore senza ulteriori mitigazioni.<\/p>\n<p>La relazione illustra poi diversi livelli di mitigazione per affrontare i modelli che violano questi CCL. Le mitigazioni rientrano in due categorie principali:<\/p>\n<ul>\n<li><strong>Attenuazioni della sicurezza<\/strong> - Prevenzione dell'esposizione dei pesi di un modello che raggiunge i CCL<\/li>\n<li><strong>Attenuazione della distribuzione<\/strong> - Prevenzione dell'uso improprio di un modello distribuito che raggiunge i CCL<\/li>\n<\/ul>\n<p>Il rilascio del framework di Google arriva nella stessa settimana in cui <a href=\"https:\/\/dailyai.com\/it\/2024\/05\/openais-superalignment-meltdown-can-the-company-salvage-any-trust\/\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\">OpenAI<\/span><\/span><\/span>Le squadre di sicurezza del superallineamento sono andate in frantumi.<\/a>.<\/p>\n<p>Google sembra prendere sul serio i potenziali rischi dell'IA e ha dichiarato: \"Le nostre analisi preliminari dei domini di ricerca e sviluppo Autonomia, Biosicurezza, Cybersicurezza e Machine Learning. Le nostre ricerche iniziali indicano che le potenti capacit\u00e0 dei modelli futuri sembrano avere maggiori probabilit\u00e0 di porre rischi in questi domini\".<\/p>\n<p>I CCL che il framework affronta sono:<\/p>\n<ul>\n<li><strong>Autonomia<\/strong> - Un modello che pu\u00f2 espandere le proprie capacit\u00e0 \"acquisendo autonomamente risorse e utilizzandole per eseguire e sostenere copie aggiuntive di se stesso su hardware che affitta\".<\/li>\n<li><strong>Biosicurezza<\/strong> - Un modello in grado di consentire in modo significativo a un esperto o a un non esperto di sviluppare minacce biologiche note o nuove.<\/li>\n<li><strong>Sicurezza informatica<\/strong> - Un modello in grado di automatizzare completamente gli attacchi informatici o di consentire a un dilettante di effettuare attacchi sofisticati e gravi.<\/li>\n<li><strong>R&amp;S sull'apprendimento automatico<\/strong> - Un modello che potrebbe accelerare o automatizzare in modo significativo la ricerca sull'intelligenza artificiale in un laboratorio all'avanguardia.<\/li>\n<\/ul>\n<p>Il CCL sull'autonomia \u00e8 particolarmente preoccupante. Abbiamo visto tutti i film di fantascienza in cui l'intelligenza artificiale prende il sopravvento, ma ora \u00e8 Google a dire che \u00e8 necessario un lavoro futuro per proteggere \"dal rischio che i sistemi agiscano in modo avverso contro gli esseri umani\".<\/p>\n<p>L'approccio di Google consiste nel rivedere periodicamente i propri modelli utilizzando una serie di \"valutazioni di allarme\" che segnalano un modello che potrebbe avvicinarsi ai CCL.<\/p>\n<p>Quando un modello mostra i primi segni di queste capacit\u00e0 critiche, vengono applicate le misure di mitigazione.<\/p>\n<figure id=\"attachment_12416\" aria-describedby=\"caption-attachment-12416\" style=\"width: 1022px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-12416 size-full\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/05\/Googles-Frontier-Safety-Framework.png\" alt=\"\" width=\"1022\" height=\"468\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/05\/Googles-Frontier-Safety-Framework.png 1022w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/05\/Googles-Frontier-Safety-Framework-300x137.png 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/05\/Googles-Frontier-Safety-Framework-768x352.png 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/05\/Googles-Frontier-Safety-Framework-18x8.png 18w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/05\/Googles-Frontier-Safety-Framework-60x27.png 60w\" sizes=\"auto, (max-width: 1022px) 100vw, 1022px\" \/><figcaption id=\"caption-attachment-12416\" class=\"wp-caption-text\">La relazione tra i diversi componenti del Framework. Fonte: Google<\/figcaption><\/figure>\n<p>Un commento interessante nel framework \u00e8 che Google dice: \"Un modello pu\u00f2 raggiungere soglie di valutazione prima che siano pronte le mitigazioni a livelli appropriati\".<\/p>\n<p>Quindi, un modello in fase di sviluppo potrebbe mostrare funzionalit\u00e0 critiche che potrebbero essere utilizzate in modo improprio e Google potrebbe non avere ancora un modo per impedirlo. In questo caso, Google afferma che lo sviluppo del modello sar\u00e0 sospeso.<\/p>\n<p>Possiamo forse trarre conforto dal fatto che Google sembra prendere sul serio i rischi dell'IA. Si tratta di un'eccessiva cautela o i potenziali rischi elencati dal framework meritano di essere presi in considerazione?<\/p>\n<p>Speriamo di non scoprirlo troppo tardi. Google afferma: \"Puntiamo a implementare questo quadro iniziale entro l'inizio del 2025, il che, secondo le nostre previsioni, dovrebbe avvenire ben prima che questi rischi si concretizzino\".<\/p>\n<p>Se siete gi\u00e0 preoccupati per i rischi dell'IA, <a href=\"https:\/\/deepmind.google\/discover\/blog\/introducing-the-frontier-safety-framework\/\" target=\"_blank\" rel=\"noopener\">lettura del quadro di riferimento<\/a> non far\u00e0 altro che aumentare queste paure.<\/p>\n<p>Il documento rileva che il quadro di riferimento \"si evolver\u00e0 sostanzialmente man mano che migliorer\u00e0 la nostra comprensione dei rischi e dei benefici dei modelli di frontiera\" e che \"c'\u00e8 un significativo margine di miglioramento nella comprensione dei rischi posti dai modelli in diversi ambiti\".<\/p>","protected":false},"excerpt":{"rendered":"<p>Google ha pubblicato la prima versione del suo Frontier Safety Framework, una serie di protocolli che mirano ad affrontare i gravi rischi che i potenti modelli di AI di frontiera del futuro potrebbero presentare. Il quadro definisce i livelli di capacit\u00e0 critica (CCL), ossia le soglie alle quali i modelli possono rappresentare un rischio elevato senza ulteriori mitigazioni. Quindi stabilisce diversi livelli di mitigazione per affrontare i modelli che violano questi CCL. Le mitigazioni rientrano in due categorie principali: Attenuazione della sicurezza - Prevenire l'esposizione dei pesi di un modello che raggiunge i CCL Attenuazione della distribuzione - Prevenire l'uso improprio di un modello distribuito che raggiunge i CCL.<\/p>","protected":false},"author":6,"featured_media":12417,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[163,102],"class_list":["post-12408","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-ai-risks","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\u2019s Frontier Safety Framework mitigates \u201csevere\u201d AI risks | 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\/2024\/05\/googles-frontier-safety-framework-mitigates-severe-ai-risks\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Google\u2019s Frontier Safety Framework mitigates \u201csevere\u201d AI risks | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Google has published the first version of its Frontier Safety Framework, a set of protocols that aim to address severe risks that powerful frontier AI models of the future might present. The framework defines Critical Capability Levels (CCLs), which are thresholds at which models may pose heightened risk without additional mitigation. It then lays out different levels of mitigations to address models that breach these CCLs. 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