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come OpenClaw, ma con più privacy","\u003Ch1>\u003Cstrong>\u003Cspan class=\"text-color-primary-400\">Ironclaw:\u003C/span> come OpenClaw, ma con più privacy\u003C/strong>\u003C/h1>\n","Di recente si è parlato un sacco di OpenClaw, ma come abbiamo visto la sicurezza non era proprio il suo forte. Proprio per questo stanno nascendo nuovi progetti che cercano di sistemare i suoi difetti, ed uno dei più interessanti è sicuramente IronClaw. Cos’è IronClaw e a cosa serve IronClaw si colloca nel campo dei […]",28870,"6 Maggio 2026",{"url":818,"width":819,"height":819,"alt":54},"https://website-prod.datamasters.it/wp-content/uploads/2026/05/ChatGPT-Image-May-3-2026-10_10_11-PM.png",1254,[821,825,849,851],{"block_layout":822,"classes":823,"text":824},"simple_text","above-the-fold","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Di recente si è parlato un sacco di \u003C/span>\u003Ca href=\"https://datamasters.it/blog/openclaw-cose-come-installare-e-utilizzare-lassistente-personale-agentico/\" target=\"_blank\" rel=\"noopener\">\u003Cb>OpenClaw\u003C/b>\u003C/a>\u003Cspan style=\"font-weight: 400;\">, ma come abbiamo visto la sicurezza non era proprio il suo forte. Proprio per questo stanno nascendo nuovi progetti che cercano di sistemare i suoi difetti, ed uno dei più interessanti è sicuramente \u003C/span>\u003Cb>IronClaw\u003C/b>\u003Cspan style=\"font-weight: 400;\">.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch2>\u003Cstrong>Cos’è IronClaw e a cosa serve\u003C/strong>\u003C/h2>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">IronClaw si colloca nel campo dei \u003C/span>\u003Ca href=\"https://datamasters.it/blog/framework-gratuiti-agenti-ai/\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">framework di agenti ai\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\"> pensati per automazioni eseguite in ambienti controllati, con un’impostazione orientata al self-hosting locale e ad una governance più stretta dell’accesso ai dati e ai sistemi.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Un framework di questo tipo serve ad \u003C/span>\u003Cb>organizzare agenti, task, strumenti ed accessi\u003C/b>\u003Cspan style=\"font-weight: 400;\"> in modo che l’esecuzione avvenga vicino ai dati e dentro un perimetro operativo deciso dall’azienda. Per chi lavora con processi interni, informazioni sensibili o integrazioni che non possono uscire facilmente dal contesto locale, questa impostazione può essere molto più rilevante di una promessa generica di performance.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch3>\u003Cstrong>Perché sempre più aziende scelgono agenti locali\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">La logica degli \u003C/span>\u003Cb>agenti AI self-hosted\u003C/b>\u003Cspan style=\"font-weight: 400;\"> è semplice da intuire. Portare agenti ed automazioni nel proprio ambiente permette un controllo più diretto su dati, flussi e dipendenze infrastrutturali, con una governance potenzialmente più prevedibile rispetto a un’esecuzione interamente mediata dal cloud. Questo è il punto che interessa davvero alle aziende che hanno esigenze di compliance, auditing o separazione netta tra sistemi interni e servizi esterni.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Va detto però senza ambiguità che locale non significa automaticamente sicuro, significa più controllabile, che è diverso. Se un agente ha accesso a file, API interne o strumenti operativi, il rischio resta e in certi casi cresce proprio perché l’agente è più vicino ai sistemi critici. Ha più senso ragionare sui criteri di governance e sulle superfici d’attacco, quando parliamo di \u003C/span>\u003Ca href=\"https://datamasters.it/blog/ai-security-come-proteggere-llm-ed-agenti-ai/\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">sicurezza con agenti AI\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\">.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch2>\u003Cstrong>Come funziona IronClaw\u003C/strong>\u003C/h2>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Sul piano concettuale, IronClaw può essere letto come \u003C/span>\u003Cb>un layer di orchestrazione per agenti\u003C/b>\u003Cspan style=\"font-weight: 400;\"> che coordina il modo in cui un agente riceve un task, usa strumenti, accede a memoria o contesto e produce azioni o output. Nella letteratura tecnica sui sistemi generativi si distinguono architetture e famiglie di modelli diverse, come i \u003C/span>\u003Ca href=\"https://datamasters.it/blog/i-modelli-large-language-diffusion-sono-qui-che-cosa-cambia/\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">diffusion language models\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\"> che raffinano iterativamente l’output invece di generare token uno alla volta, o i modelli autoregressivi che prevedono il token successivo sulla base dei precedenti. Ma quando si parla di framework agentici, non si parla più solo del modello ma del sistema che decide come quel modello agisce.\u003C/span>\u003C/span>\u003C/p>\n",{"block_layout":826,"gutter_top":827,"gutter_bottom":827,"list":828,"h_align":848,"v_align":848},"cta_list","xl",[829],{"link":830,"config":832,"modal":836},{"title":831,"url":143,"target":54},"ISCRIVITI ALLA NEWSLETTER",{"variant":155,"theme":833,"size":834,"class":835},"theme-primary","size-default","iscritto-nl qs-link",{"api_url":837,"title":838,"text":839,"name_label":840,"name_placeholder":841,"surname_label":842,"surname_placeholder":843,"email_label":844,"email_placeholder":845,"privacy_text":846,"submit_text":847},"/wp-json/dm/v1/modal-form/26876","Iscriviti alla Newletter","\u003Cp>Ricevi direttamente sulla tua mail gli ultimi articoli pubblicati nella nostra sezione AI NEWS per rimanere sempre aggiornato e non perderti nessun contenuto.\u003C/p>\n","Nome","Inserisci il tuo nome","Cognome","Inserisci il tuo cognome","E-mail","Inserisci la tua e-mail","Dichiaro di aver letto l’informativa \u003Ca href=\"https://datamasters.it/privacy-policy/\" target=\"_blank\" rel=\"noopener\">privacy\u003C/a> e di prestare espresso consenso al \u003Ca href=\"https://datamasters.it/trattamento-dati/\" target=\"_blank\" rel=\"noopener\">trattamento dei dati\u003C/a> personali","ISCRIVITI ORA","center",{"block_layout":822,"text":850},"\u003Ch3>\u003Cstrong>Architettura e gestione degli agenti AI\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">La gestione degli agenti in un contesto self-hosted riguarda sempre \u003C/span>\u003Cb>quattro elementi\u003C/b>\u003Cspan style=\"font-weight: 400;\">: i ruoli che l’agente può assumere, il contesto che può usare, gli strumenti disponibili e le policy che ne regolano l’accesso. Chi decide che cosa può fare l’agente, con quali permessi e con quali log?\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\" style=\"font-weight: 400;\">È una domanda che vale più di qualsiasi slogan sulla privacy.\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Un agente ben orchestrato non è un modello lasciato libero di improvvisare ma un componente che opera entro regole leggibili, con auditing e con confini di esecuzione chiari. Nella ricerca sui reasoning model i \u003C/span>\u003Cb>benchmark\u003C/b>\u003Cspan style=\"font-weight: 400;\"> vengono usati per confrontare capacità su matematica, coding e logica, ma sappiamo anche che le metriche proprietarie sono spesso difficili da comparare tra vendor e poco rappresentative dell’uso in produzione. Lo stesso principio vale per i framework agentici.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch3>\u003Cstrong>Automazioni e integrazione con sistemi locali\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Il vantaggio più evidente di un\u003C/span>\u003Cb> framework locale\u003C/b>\u003Cspan style=\"font-weight: 400;\"> è la possibilità di costruire automazioni su file, strumenti interni e infrastrutture che vivono già nel perimetro aziendale, ed è qui che IronClaw diventa interessante per chi non cerca un semplice assistente ma una base per processi reali. L’integrazione con sistemi locali può rendere gli agenti utili in modo tangibile, perché li collega al lavoro effettivo dell’organizzazione.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Proprio questa integrazione, però, \u003C/span>\u003Cb>allarga la superficie d’attacco\u003C/b>\u003Cspan style=\"font-weight: 400;\">. Ogni tool esposto all’agente è un canale operativo in più, ogni accesso a una directory, a un endpoint interno o a una funzione amministrativa introduce un problema di sicurezza che va progettato prima dell’adozione e non dopo.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp> \u003C/p>\n\u003Ch2>\u003Cstrong>Sicurezza e controllo negli agenti AI locali\u003C/strong>\u003C/h2>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">La discussione su \u003C/span>\u003Cb>IronClaw e sicurezza\u003C/b>\u003Cspan style=\"font-weight: 400;\"> va riportata su basi operative, anche perché, un agente locale non è safe per definizione. Se può leggere, scrivere, eseguire o orchestrare azioni su sistemi interni, il rischio aumenta insieme alla sua autonomia. Le buone pratiche richiamate quando si parla di \u003C/span>\u003Ca href=\"https://datamasters.it/blog/ai-security-come-proteggere-llm-ed-agenti-ai/\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">sicurezza con agenti AI\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\"> restano centrali anche qui. Permessi minimi, logging, isolamento, revisione umana nei passaggi delicati e controllo degli strumenti esposti all’agente sono leve più concrete del semplice self-hosting.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch3>\u003Cstrong>I rischi degli agenti AI con accesso ai sistemi\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Quando si parla dei \u003C/span>\u003Cb>rischi di sicurezza con agenti ai\u003C/b>\u003Cspan style=\"font-weight: 400;\">, i problemi realistici non hanno nulla di fantascientifico. Un agente può essere indotto a compiere azioni non volute attraverso input malevoli, può abusare di permessi concessi, può causare data leakage se il perimetro di accesso è definito male o può propagare errori in cascata se tool, memoria e automazione non sono governati con attenzione. Il rischio cresce soprattutto quando il sistema ha facoltà operative su file, API o infrastrutture.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch3>\u003Cstrong>Come IronClaw migliora sicurezza e governance\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Se usato bene, un \u003C/span>\u003Cb>framework locale come IronClaw \u003C/b>\u003Cspan style=\"font-weight: 400;\">può migliorare controllo e governance in alcuni modi molto concreti. Può ridurre l’esposizione di dati verso servizi esterni, rendere più semplice applicare policy di accesso coerenti con il perimetro aziendale, facilitare auditing e tracciabilità delle azioni dell’agente dentro un ambiente gestito direttamente dall’organizzazione. Può anche favorire una separazione più netta tra livelli di permesso e ambienti di esecuzione, che è poi il cuore di qualsiasi design prudente.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp> \u003C/p>\n\u003Ch2>\u003Cstrong>Differenze tra IronClaw e OpenClaw\u003C/strong>\u003C/h2>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Il confronto tra \u003C/span>\u003Cb>OpenClaw e IronClaw \u003C/b>\u003Cspan style=\"font-weight: 400;\">va tenuto lontano dalle tabelline speculative ed ha più senso ragionare su filosofia, target d’uso e criterio di scelta. Da un lato \u003C/span>\u003Ca href=\"https://datamasters.it/blog/openclaw-cose-come-installare-e-utilizzare-lassistente-personale-agentico/\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">OpenClaw\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\"> viene presentato come assistente agentico personale, dall’altro IronClaw appare come un’opzione più orientata a privacy, controllo dell’ambiente e responsabilità operativa.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\" style=\"font-weight: 400;\">In pratica, scegliere tra IronClaw ed OpenClaw significa soprattutto capire dove vuoi mettere il baricentro tra governance ed immediatezza d’uso.\u003C/span>\u003C/p>\n\u003Ch3>\u003Cstrong>Quando scegliere una soluzione rispetto all’altra\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">La scelta tra i due progetti ha senso se la leghi a criteri pratici. Se il tema dominante è la privacy operativa, il controllo del deployment e l’esigenza di audit, \u003C/span>\u003Cb>IronClaw\u003C/b>\u003Cspan style=\"font-weight: 400;\"> può essere una scelta sensata da esplorare. Se invece il focus è sperimentare un assistente agentico personale con un approccio più immediato, \u003C/span>\u003Cb>OpenClaw\u003C/b>\u003Cspan style=\"font-weight: 400;\"> può risultare un riferimento più naturale. La regola pratica è questa: scegli il framework che riduce l’opacità nel tuo contesto, non quello che promette di più sulla carta.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp> \u003C/p>\n\u003Ch2>\u003Cstrong>Il futuro dei framework per agenti AI\u003C/strong>\u003C/h2>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Nella ricerca recente si osserva un interesse crescente per sistemi valutati su task di reasoning come matematica, coding e logica, mentre sul piano architetturale continuano ad emergere alternative come i diffusion language models, che generano testo tramite raffinamento iterativo invece che token per token. Questo dibattito è utile perché ricorda una cosa essenziale. Anche se i modelli cambiano, \u003C/span>\u003Cb>il problema della produzione resta quello del controllo\u003C/b>\u003Cspan style=\"font-weight: 400;\">.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Per i\u003C/span>\u003Cb> framework di agenti ai locali\u003C/b>\u003Cspan style=\"font-weight: 400;\">, il vantaggio competitivo si sposterà sempre di più verso auditing, deployment governato e gestione dei privilegi, è lì che si decide se un agente diventa un acceleratore affidabile o un componente difficile da difendere.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch3>\u003Cstrong>Impatti su sviluppo software e infrastrutture aziendali\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">L’adozione di agenti locali tocca sviluppo software, infrastrutture e sicurezza nello stesso momento. Più automazione significa più \u003C/span>\u003Cb>bisogno di osservabilità\u003C/b>\u003Cspan style=\"font-weight: 400;\">, più accesso ai sistemi e più disciplina nella gestione delle identità e dei privilegi. Davvero pensiamo che basti spostare un agente on premise per risolvere il problema?\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Il cambiamento vero è architetturale. Chi userà bene framework come \u003C/span>\u003Cb>IronClaw\u003C/b>\u003Cspan style=\"font-weight: 400;\"> non sarà semplicemente chi costruisce agenti, ma chi sa farli operare dentro stack produttivi leggibili, auditabili e difendibili, con la stessa attenzione che oggi dedichiamo a DevOps e alla \u003C/span>\u003Ca href=\"https://datamasters.it/blog/ai-security-come-proteggere-llm-ed-agenti-ai/\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">sicurezza con agenti AI\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\">.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp> \u003C/p>\n",{"block_layout":852,"classes":853,"bg_color":854,"api_url":855,"text":856,"form":857},"newsletter_form","gutter-mt-xl","color-primary-50","/wp-json/dm/v1/newsletter","\u003Ch6>NEWSLETTER\u003C/h6>\n\u003Cp class=\"font-size-body-1\">Ricevi direttamente sulla tua mail gli ultimi articoli pubblicati nella nostra sezione AI NEWS per rimanere sempre aggiornato e non perderti nessun contenuto.\u003C/p>\n",{"name_label":840,"name_placeholder":841,"surname_label":842,"surname_placeholder":843,"email_label":844,"email_placeholder":845,"privacy_text":846,"submit_text":847,"confirm_message":858,"ac_list":859,"ac_tags":860},"Grazie per esserti iscritto alla nostra newsletter!\u003Cbr />\r\nOra riceverai direttamente nella tua casella di posta gli ultimi aggiornamenti dal mondo AI e Data Science per essere sempre al passo con le novità del settore.","b67603b6df03d209:4e76949680231e01977996332c03668e6d3fa20c:WB9FfZ0fK9kntILGsOp/tQ==","6b9d834181e376d6:0e5d56baf921ce64fb53ec05fe2b316521f29729:+fug9LWb8tb4KMwd2cKuvA==",{"first_name":862,"last_name":863,"avatar":864,"linkedin_url":879,"description":880},"Simone","Truglia",{"ID":865,"id":865,"title":866,"filename":867,"filesize":868,"url":869,"alt":776,"author":870,"description":54,"caption":54,"name":866,"status":871,"uploaded_to":872,"date":873,"modified":874,"menu_order":875,"mime_type":756,"type":876,"subtype":877,"width":878,"height":878},1330,"simone-truglia","simone-truglia-1.png",667231,"https://website-prod.datamasters.it/wp-content/uploads/2024/06/simone-truglia-1.png","7","inherit",1313,"2024-06-17 13:55:06","2024-06-17 13:56:20",0,"image","png",1080,"https://www.linkedin.com/in/simonetruglia/","\u003Cp>Simone è un \u003Cstrong>Ingegnere Informatico\u003C/strong> con specializzazione nei \u003Cb>sistemi automatici \u003C/b>e con una grande passione per la \u003Cb>matematica\u003C/b>, la \u003Cb>programmazione\u003C/b> e l’\u003Cb>intelligenza artificiale\u003C/b>. Ha lavorato con diverse aziende europee, aiutandole ad acquisire e ad estrarre il massimo valore dai principali dati a loro disposizione.\u003C/p>\n",[882,884,886],{"label":731,"link":883},"https://datamasters.it/blog/?tag=ironclaw",{"label":733,"link":885},"https://datamasters.it/blog/?tag=openclaw",{"label":735,"link":887},"https://datamasters.it/blog/?tag=privacy",[889,909,935],{"id":890,"image":891,"raw_date":895,"date":896,"date_day":897,"date_month":898,"title":899,"excerpt":900,"url":901,"taxonomies":902,"is_webinar":516},28310,{"url":892,"width":893,"height":894,"alt":54},"https://website-prod.datamasters.it/wp-content/uploads/2026/02/Gemini_Generated_Image_rlzw26rlzw26rlzw-1.png",1600,749,"2026-02-06T08:00:24+01:00","6 Febbraio 2026","06","Feb","OpenClaw: cos'è, come installare e utilizzare l'assistente personale agentico","In questi anni, abbiamo discusso varie volte di chatbot che promettevano di poter cambiare totalmente la nostra vita dalla modalità agente di ChatGPT  ai vari software di automazione come Agent […]","https://datamasters.it/blog/openclaw-cose-come-installare-e-utilizzare-lassistente-personale-agentico/",{"category":903,"tag":905},[904],"blog",[906,907,908],"ai-agents","clawdbot","openclaw",{"id":910,"image":911,"raw_date":915,"date":916,"date_day":917,"date_month":918,"title":919,"excerpt":920,"url":921,"taxonomies":922,"is_webinar":516},16909,{"url":912,"width":913,"height":914,"alt":54},"https://website-prod.datamasters.it/wp-content/uploads/2023/11/gen-ai-lera-della-generative-ai.jpg",1200,800,"2023-11-21T14:13:04+01:00","21 Novembre 2023","21","Nov","L'Era Creativa delle Generative AI","16 novembre 2023. I Beatles sono in testa alle classifiche dei singoli con il loro “Now and Then”, cantato magistralmente da John Lennon. No, non è l’inizio di un romanzo […]","https://datamasters.it/blog/lera-creativa-delle-generative-ai/",{"category":923,"tag":924},[904],[925,926,927,928,929,930,931,932,933,735,934],"ai-ethics","automazione","bias","chatgpt","cybersecurity","generative-ai","intelligenza-artificiale","marketing-ai","openai","rivoluzione-industriale-digitale",{"id":936,"image":937,"raw_date":963,"date":964,"date_day":965,"date_month":966,"title":967,"excerpt":968,"url":969,"taxonomies":970,"is_webinar":516},15128,{"ID":938,"id":938,"title":939,"filename":940,"filesize":941,"url":942,"link":943,"alt":54,"author":944,"description":54,"caption":54,"name":939,"status":871,"uploaded_to":945,"date":946,"modified":946,"menu_order":875,"mime_type":947,"type":876,"subtype":948,"icon":949,"width":950,"height":878,"sizes":951},25220,"copertina-ai-ethics","copertina-ai-ethics.jpg",710713,"https://website-prod.datamasters.it/wp-content/uploads/2023/09/copertina-ai-ethics.jpg","https://website-prod.datamasters.it/blog/webinars/live-ai-ethics-alberto-chierici/copertina-ai-ethics/","8",23307,"2024-08-28 14:09:13","image/jpeg","jpeg","https://website-prod.datamasters.it/wp-includes/images/media/default.png",1070,{"thumbnail":952,"thumbnail-width":953,"thumbnail-height":953,"medium":954,"medium-width":955,"medium-height":956,"medium_large":957,"medium_large-width":958,"medium_large-height":959,"large":960,"large-width":961,"large-height":962,"1536x1536":942,"1536x1536-width":950,"1536x1536-height":878,"2048x2048":942,"2048x2048-width":950,"2048x2048-height":878},"https://website-prod.datamasters.it/wp-content/uploads/2023/09/copertina-ai-ethics-150x150.jpg",150,"https://website-prod.datamasters.it/wp-content/uploads/2023/09/copertina-ai-ethics-297x300.jpg",297,300,"https://website-prod.datamasters.it/wp-content/uploads/2023/09/copertina-ai-ethics-768x775.jpg",768,775,"https://website-prod.datamasters.it/wp-content/uploads/2023/09/copertina-ai-ethics-1015x1024.jpg",1015,1024,"2023-09-22T08:51:14+02:00","22 Settembre 2023","22","Set","AI Ethics: cosa ci aspetta nel futuro dell’Intelligenza Artificiale","Vuoi sapere come l’Intelligenza Artificiale influenzerà il nostro futuro?Allora non puoi perderti la nostra prossima live:🎬 AI Ethics: riflessioni sul futuro dell’Intelligenza Artificiale📅 giovedì 28 settembre⏰ ore 18:30 Affronteremo temi […]","https://datamasters.it/blog/ai-ethics-riflessioni-sul-futuro-dellintelligenza-artificiale/",{"category":971,"tag":972},[904],[925,973,927,974,931,975,976,735,977,978],"alberto-chierici","futuro-ai","live","live-gratuita","riflessioni-ai","sicurezza-dei-dati",[980],{"block_layout":981,"gutter_top":982,"gutter_bottom":982,"bg_color":983,"fg_color":172,"text":984,"cta":985,"small":516},"banner_icon_cta","xxl","color-primary-600","\u003Ch4 class=\"fw-semibold\" style=\"text-align: center;\">ISCRIVITI ED INIZIA\u003Cbr />\nAD IMPARARE SUBITO GRATIS\u003C/h4>\n\u003Cp class=\"font-size-body-1\" style=\"text-align: center;\">Accedi ora a risorse di apprendimento gratuite di alta qualità e trasforma le tue ambizioni\u003Cbr />\nin competenze concrete. Il tuo viaggio verso il successo inizia oggi!\u003C/p>\n",{"link":986,"config":988},{"title":113,"url":987,"target":15},"https://datamasters.it/catalogo/?price=gratuito",{"variant":155,"theme":989,"size":834},"theme-white",1778060741886]