{"id":13860,"date":"2024-08-15T09:35:30","date_gmt":"2024-08-15T09:35:30","guid":{"rendered":"https:\/\/dailyai.com\/?p=13860"},"modified":"2024-08-18T12:14:41","modified_gmt":"2024-08-18T12:14:41","slug":"study-challenges-the-narrative-of-ai-posing-an-existential-threat","status":"publish","type":"post","link":"https:\/\/dailyai.com\/it\/2024\/08\/study-challenges-the-narrative-of-ai-posing-an-existential-threat\/","title":{"rendered":"Uno studio mette in discussione la narrativa che vede l'IA come una \"minaccia esistenziale\"."},"content":{"rendered":"

L'IA \u00e8 rischiosa o no? \u00c8 un dibattito che continua a infuriare senza risposte definitive.<\/strong><\/p>\n

Per contribuire a questo dibattito, i ricercatori dell'Universit\u00e0 di Bath e dell'Universit\u00e0 Tecnica di Darmstadt hanno avviato uno studio per valutare i rischi dell'IA nel contesto degli attuali modelli linguistici come ChatGPT.\u00a0<\/span><\/p>\n

Il <\/span>risultati<\/span><\/a>pubblicato nell'ambito del 62\u00b0 Meeting annuale dell'Association for Computational Linguistics (ACL 2024), mette in discussione l'idea che l'IA, in particolare i modelli linguistici di grandi dimensioni (LLM) come ChatGPT, possa evolvere al di l\u00e0 del controllo umano e rappresentare una minaccia esistenziale per l'umanit\u00e0.<\/span><\/p>\n

Ci\u00f2 si scontra con i timori espressi da alcuni dei pi\u00f9 importanti ricercatori di IA del mondo, tra cui Geoffrey Hinton e Yoshua Bengio, due dei \"padrini dell'IA\" che hanno espresso preoccupazione per i potenziali pericoli dell'IA avanzata.\u00a0<\/span><\/p>\n

Yann LeCun, il terzo \"padrino dell'IA\" e capo scienziato dell'IA di Meta, insieme al Dr. Gary Marcus e altri, sostiene la tesi opposta, ovvero che i rischi dell'IA sono <\/span>semplicemente esagerato<\/span><\/a>.\u00a0<\/span><\/p>\n

Questa divergenza di opinioni tra le figure pi\u00f9 influenti del campo ha <\/span>ha alimentato un acceso dibattito<\/span><\/a> sulla natura e la gravit\u00e0 dei rischi posti dai sistemi avanzati di intelligenza artificiale.<\/span><\/p>\n

Questo nuovo studio analizza le \"abilit\u00e0 emergenti\" dei LLM, che si riferiscono alla capacit\u00e0 di un modello di eseguire compiti per i quali non \u00e8 stato esplicitamente addestrato.\u00a0<\/span><\/p>\n

I rischi dell'IA sono molteplici, ma almeno alcuni riguardano i modelli che sviluppano obiettivi propri che potrebbero danneggiare gli esseri umani, come l'arresto dei sistemi informatici o la fuga di dati. <\/span><\/p>\n

Il problema che si sta esaminando \u00e8 se un LLM possa o meno sviluppare spontaneamente queste abilit\u00e0 senza istruzioni o controllo.\u00a0<\/span><\/p>\n

Per indagare su questo aspetto, il team di ricerca ha condotto una serie di esperimenti:<\/span><\/p>\n

    \n
  1. I ricercatori hanno esaminato i meccanismi alla base dell'\"apprendimento in contesto\" (ICL) nei LLM, che consente ai modelli di generare risposte sulla base di esempi forniti durante le interazioni. Come si legge nello studio, \"la capacit\u00e0 di seguire le istruzioni non implica la presenza di abilit\u00e0 di ragionamento e, soprattutto, non implica la possibilit\u00e0 di abilit\u00e0 latenti e potenzialmente pericolose\".<\/span><\/li>\n
  2. Hanno valutato le reali capacit\u00e0 e i limiti dei laureati magistrali valutando le loro prestazioni su una serie di compiti, compresi quelli che richiedono capacit\u00e0 di ragionamento e di risoluzione di problemi complessi. I ricercatori sostengono che i LLM non sono in grado di sviluppare autonomamente nuove competenze.<\/span><\/li>\n
  3. Hanno analizzato la relazione tra le dimensioni del modello, i dati di addestramento e le abilit\u00e0 emergenti per determinare se l'aumento della complessit\u00e0 del modello porta l'IA a sviluppare abilit\u00e0 pericolose. Lo studio afferma: \"Queste osservazioni implicano che i nostri risultati sono validi per qualsiasi modello che mostri una propensione all'allucinazione o che richieda una pronta ingegnerizzazione, compresi quelli con una maggiore complessit\u00e0, indipendentemente dalla scala o dal numero di modalit\u00e0, come il GPT-4\".<\/span><\/li>\n<\/ol>\n

    I ricercatori concludono che \"la narrativa prevalente secondo cui questo tipo di IA \u00e8 una minaccia per l'umanit\u00e0 impedisce l'adozione e lo sviluppo diffuso di queste tecnologie e distoglie l'attenzione dai problemi reali che richiedono la nostra attenzione\".<\/span><\/p>\n

    Ci\u00f2 \u00e8 fortemente in linea con LeCun e altri che ritengono che i rischi dell'IA siano eccessivamente pubblicizzati.<\/span><\/p>\n

    Tuttavia, mentre la valutazione dei rischi posti dagli attuali modelli di IA \u00e8 ovviamente essenziale, fare i conti con il futuro \u00e8 un compito pi\u00f9 difficile.\u00a0<\/span><\/p>\n

    Ogni generazione di modelli \u00e8 dotata di nuove capacit\u00e0 e, quindi, di nuovi rischi, come dimostrano alcuni strani comportamenti documentati in\u00a0Scheda di prova GPT-4o<\/a>.\u00a0<\/span><\/p>\n

    In un'esercitazione di red teaming (progettata per identificare i comportamenti imprevedibili dell'intelligenza artificiale), la funzione vocale di GPT-4o ha inaspettatamente clonato la voce di un utente e ha iniziato a parlargli con la propria voce.\u00a0<\/span><\/p>\n

    \u00c8 fondamentale tenere traccia dei rischi legati all'IA nel momento in cui emergono, poich\u00e9 gli obiettivi cambiano continuamente.\u00a0<\/span><\/p>\n

    Lo studio sottolinea che alcuni rischi non esistenziali dell'IA stanno gi\u00e0 bussando alla porta: \"La ricerca futura dovrebbe quindi concentrarsi su altri rischi posti dai modelli, come il loro potenziale utilizzo per generare fake news\".<\/span><\/p>\n

    Come ammettono gli autori, il fatto che l'intelligenza artificiale non rappresenti una minaccia su larga scala non significa che la sicurezza non sia un problema.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    L'IA \u00e8 rischiosa o no? \u00c8 un dibattito che continua a infuriare senza risposte definitive. Per dare un ulteriore contributo a questo dibattito, i ricercatori dell'Universit\u00e0 di Bath e dell'Universit\u00e0 Tecnica di Darmstadt hanno avviato uno studio per valutare i rischi dell'IA nel contesto degli attuali modelli linguistici come ChatGPT. I risultati, pubblicati nell'ambito del 62\u00b0 Meeting annuale dell'Association for Computational Linguistics (ACL 2024), mettono in discussione l'opinione che l'IA, in particolare i modelli linguistici di grandi dimensioni (LLM) come ChatGPT, possa evolversi al di l\u00e0 del controllo umano e rappresentare una minaccia esistenziale per l'umanit\u00e0. Questo affronta i timori espressi da alcuni dei pi\u00f9 importanti scienziati del mondo.<\/p>","protected":false},"author":2,"featured_media":13867,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[163,105],"class_list":["post-13860","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-ai-risks","tag-machine-learning"],"yoast_head":"\nStudy challenges the narrative of AI posing an 'existential threat' | 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\/08\/study-challenges-the-narrative-of-ai-posing-an-existential-threat\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Study challenges the narrative of AI posing an 'existential threat' | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Is AI risky or not? It\u2019s the debate that just keeps raging on without definitive answers. Contributing more evidence to this debate, University of Bath and the Technical University of Darmstadt researchers launched a study to evaluate AI risks in the context of current language models like ChatGPT.\u00a0 The findings, published as part of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), challenge views that AI, particularly large language models (LLMs) like ChatGPT, could evolve beyond human control and pose an existential threat to humanity. 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