{"id":11426,"date":"2024-04-08T17:45:24","date_gmt":"2024-04-08T17:45:24","guid":{"rendered":"https:\/\/dailyai.com\/?p=11426"},"modified":"2024-04-09T08:28:17","modified_gmt":"2024-04-09T08:28:17","slug":"inside-big-techs-tussle-over-ai-training-data","status":"publish","type":"post","link":"https:\/\/dailyai.com\/it\/2024\/04\/inside-big-techs-tussle-over-ai-training-data\/","title":{"rendered":"La lotta delle Big Tech per i dati di addestramento dell'IA"},"content":{"rendered":"

Nella frenetica ricerca di dati per l'addestramento dell'IA, i giganti tecnologici OpenAI, Google e Meta avrebbero aggirato le politiche aziendali, alterato le regole e discusso di aggirare le leggi sul copyright.\u00a0<\/b><\/p>\n

A <\/span>Inchiesta del New York Times<\/span><\/a> rivela quanto queste aziende si siano spinte a raccogliere informazioni online per alimentare i loro sistemi di intelligenza artificiale affamati di dati.<\/span><\/p>\n

Alla fine del 2021, i ricercatori di OpenAI hanno sviluppato uno strumento di riconoscimento vocale chiamato Whisper per trascrivere i video di YouTube in caso di carenza di dati testuali affidabili in lingua inglese.\u00a0<\/span><\/p>\n

Nonostante le discussioni interne sulla potenziale violazione delle regole di YouTube, che vietano di utilizzare i suoi video per applicazioni \"indipendenti\",\u00a0<\/span><\/p>\n

Il NYT ha scoperto che OpenAI ha trascritto oltre un milione di ore di contenuti di YouTube. Greg Brockman, presidente di OpenAI, ha assistito personalmente alla raccolta dei video. Il testo trascritto \u00e8 stato quindi inserito nel GPT-4.<\/span><\/p>\n

Google avrebbe anche trascritto i video di YouTube per raccogliere il testo per i suoi modelli di intelligenza artificiale, violando potenzialmente i diritti d'autore dei creatori di video. <\/span><\/p>\n

Questo avviene pochi giorni dopo che l'amministratore delegato di YouTube ha dichiarato che tale attivit\u00e0 violerebbe il diritto di copyright. <\/span>termini di servizio dell'azienda<\/span><\/a> e minare i creatori.\u00a0<\/span><\/p>\n

Nel giugno 2023, l'ufficio legale di Google ha richiesto di modificare le norme sulla privacy dell'azienda, consentendo la pubblicazione dei contenuti di Google Docs e di altre applicazioni di Google per una pi\u00f9 ampia gamma di prodotti di intelligenza artificiale.\u00a0<\/span><\/p>\n

Meta, alle prese con la propria carenza di dati, ha preso in considerazione varie opzioni per acquisire pi\u00f9 dati di addestramento.\u00a0<\/span><\/p>\n

I dirigenti hanno discusso del pagamento dei diritti di licenza dei libri, dell'acquisto della casa editrice Simon & Schuster e persino dell'estrazione di materiale protetto da copyright da Internet senza autorizzazione, rischiando potenziali cause legali.\u00a0<\/span><\/p>\n

Gli avvocati di Meta hanno sostenuto che l'uso dei dati per addestrare i sistemi di intelligenza artificiale dovrebbe rientrare nel \"fair use\", citando una decisione del tribunale del 2015 relativa al progetto di scansione dei libri di Google.<\/span><\/p>\n

Problemi etici e il futuro dei dati di addestramento dell'IA<\/h2>\n

Le azioni collettive di queste aziende tecnologiche evidenziano l'importanza critica dei dati online nel settore dell'IA in piena espansione.<\/span><\/p>\n

Queste pratiche hanno sollevato preoccupazioni sulla violazione del copyright e sull'equo compenso dei creatori.\u00a0<\/span><\/p>\n

Una regista e autrice, Justine Bateman, ha dichiarato all'Ufficio per il diritto d'autore che i modelli di intelligenza artificiale si appropriavano di contenuti - compresi i suoi scritti e i suoi film - senza autorizzazione o pagamento. <\/span><\/p>\n

\"Si tratta del pi\u00f9 grande furto negli Stati Uniti, punto e basta\", ha dichiarato in un'intervista.<\/span><\/p>\n

Nelle arti visive, il MidJourney e altri modelli di immagine sono stati <\/span>che si \u00e8 dimostrato in grado di generare diritti d'autore<\/span><\/a> contenuti, come le scene dei film Marvel.\u00a0<\/span><\/p>\n

Poich\u00e9 alcuni esperti prevedono che i dati online di alta qualit\u00e0 potrebbero esaurirsi entro il 2026, le aziende stanno esplorando metodi alternativi, come la generazione di dati sintetici utilizzando modelli di intelligenza artificiale.\u00a0<\/span>Tuttavia, i dati sintetici per l'addestramento comportano rischi e sfide proprie e potrebbero avere ripercussioni negative sulla qualit\u00e0 dell'addestramento. <\/span>impatto sulla qualit\u00e0 dei modelli<\/span><\/a>.\u00a0<\/span><\/p>\n

Lo stesso Sam Altman, CEO di OpenAI, ha riconosciuto la natura limitata dei dati online in un discorso tenuto a una conferenza tecnologica nel maggio 2023: \"Si esauriranno\", ha detto.<\/span><\/p>\n

Anche Sy Damle, un avvocato che rappresenta Andreessen Horowitz, una societ\u00e0 di venture capital della Silicon Valley, ha parlato della sfida: \"L'unico modo pratico per far esistere questi strumenti \u00e8 che possano essere addestrati su enormi quantit\u00e0 di dati senza doverli concedere in licenza. I dati necessari sono cos\u00ec massicci che anche le licenze collettive non possono funzionare\".<\/span><\/p>\n

Il NYT e OpenAI sono impegnati in una aspra causa per il diritto d'autore<\/a>Il Times ha chiesto un risarcimento danni probabilmente milionario.<\/p>\n

OpenAI ha ribattuto accusando il Times di hacking\" dei loro modelli<\/a> per trovare esempi di violazione del copyright.<\/p>\n

Per \"hacking\" si intende il jailbreak o il red-teaming, che consiste nel colpire il modello con messaggi appositamente formulati per manipolare i risultati.<\/p>\n

Secondo il NYT, non sarebbe necessario ricorrere al jailbreak dei modelli se le aziende di AI fossero trasparenti sui dati utilizzati.<\/p>\n

Senza dubbio, questa indagine interna dipinge ulteriormente il furto di dati di Big Tech come inaccettabile dal punto di vista etico e legale.<\/p>\n

Con le cause legali che si accumulano,<\/span>\u00a0il panorama legale che circonda l'uso dei dati online per l'addestramento dell'IA \u00e8 estremamente precario.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Nella frenetica ricerca di dati per l'addestramento dell'IA, i giganti tecnologici OpenAI, Google e Meta avrebbero aggirato le politiche aziendali, alterato le regole e discusso di aggirare le leggi sul copyright. Un'inchiesta del New York Times rivela quanto queste aziende si siano spinte a raccogliere informazioni online per alimentare i loro sistemi di IA affamati di dati. Alla fine del 2021, i ricercatori di OpenAI hanno sviluppato uno strumento di riconoscimento vocale chiamato Whisper per trascrivere i video di YouTube in caso di carenza di dati testuali affidabili in lingua inglese. Nonostante le discussioni interne sulla potenziale violazione delle regole di YouTube, che vietano l'uso dei suoi video per applicazioni \"indipendenti\", il NYT ha scoperto che OpenAI ha trascritto oltre un milione di ore di video.<\/p>","protected":false},"author":2,"featured_media":11427,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[197],"class_list":["post-11426","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-copyright"],"yoast_head":"\nInside Big Tech\u2019s tussle over AI training data | 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\/04\/inside-big-techs-tussle-over-ai-training-data\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Inside Big Tech\u2019s tussle over AI training data | DailyAI\" \/>\n<meta property=\"og:description\" content=\"In the frantic pursuit of AI training data, tech giants OpenAI, Google, and Meta have reportedly bypassed corporate policies, altered their rules, and discussed circumventing copyright law.\u00a0 A New York Times investigation reveals the lengths these companies have gone to harvest online information to feed their data-hungry AI systems. 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