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DIDATTICO","\u003Ch1 class=\"fw-semibold text-uppercase\"> \u003Cspan class=\"text-color-primary-400\">AI Governance\u003C/span> e Implementazione Responsabile\u003C/h1>\n","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">Introduzione approfondita dell’AI Governance, evidenziando l’importanza di gestire l’implementazione dell’intelligenza artificiale in modo etico e responsabile.\u003C/span>\u003C/p>\n","\u003Ch2>Descrizione\u003C/h2>\n\u003Cp class=\"font-size-body-1\">Questo modulo si concentra sull’AI Governance, evidenziando l’importanza di implementare l’intelligenza artificiale in modo etico e responsabile. Vengono esplorati i principi etici chiave, come beneficenza e spiegabilità, e presentati framework innovativi di governance che pongono l’elemento umano e la sicurezza al centro della gestione dei sistemi di IA. Infine, il modulo affronta la valutazione e la mitigazione dei rischi, dalle sfide della privacy agli abusi etici, discutendo gli standard emergenti in questo ambito.\u003C/p>\n",{"title":789,"list":790,"link":783},"DOMANDE FREQUENTI",[791,794,797,800,803],{"title":792,"text":793},"Quali competenze sono necessarie per seguire il modulo AI Governance e Implementazione Responsabile?","\u003Cp>\u003Cspan class=\"text-color-grey-800\">Per seguire questo modulo non sono necessarie competenze preliminari specifiche.\u003C/span>\u003C/p>\n",{"title":795,"text":796},"Quali sono i principali argomenti trattati nel modulo AI Governance e Implementazione Responsabile?","\u003Cp>\u003Cspan class=\"text-color-grey-800\">Il modulo AI Governance e Implementazione Responsabile copre i seguenti argomenti principali: Introduzione all’AI Governance, Valutazione e gestione del rischio, Implementazione pratica dell’AI Governance.\u003C/span>\u003C/p>\n",{"title":798,"text":799},"Al termine del modulo sono previsti un esame finale e una certificazione?","\u003Cp>\u003Cspan class=\"text-color-grey-800\" data-sheets-root=\"1\" data-sheets-value=\"{"1":2,"2":"Sì, al termine del modulo DB Documentali - NoSQL sono previsti un esame finale e una certificazione."}\" data-sheets-userformat=\"{"2":4480,"10":2,"11":4,"15":"Arial"}\">L’esame finale e la certificazione sono previsti per i corsi Data Masters, non per i singoli moduli.\u003C/span>\u003C/p>\n",{"title":801,"text":802},"Il materiale del modulo è scaricabile? Posso rivedere le lezioni?","\u003Cp>\u003Cspan class=\"text-color-grey-800\">Tutti i materiali (slide, materiale per esercitazioni, ecc.) sono scaricabili, mentre tutte le lezioni possono essere riviste in qualsiasi momento.\u003C/span>\u003C/p>\n",{"title":804,"text":805},"In caso di dubbi e domande, è disponibile assistenza da parte dei docenti?","\u003Cp>\u003Cspan class=\"text-color-grey-800\" data-sheets-root=\"1\" data-sheets-value=\"{"1":2,"2":"Certamente, durante il modulo DB Documentali - NoSQL è disponibile assistenza continua da parte dei nostri docenti per qualsiasi dubbio o domanda."}\" data-sheets-userformat=\"{"2":4480,"10":2,"11":4,"15":"Arial"}\">Certamente, durante il modulo AI Governance e Implementazione Responsabile è disponibile assistenza continua da parte dei nostri docenti per qualsiasi dubbio o domanda.\u003C/span>\u003C/p>\n",[807,810,814,817],{"icon":808,"caption":71,"text":809},"icon-level","Da Beginner ad Advanced",{"icon":811,"caption":812,"text":813},"icon-round-check","PREREQUISITI","Nessun Prerequisito",{"icon":815,"caption":70,"text":816},"icon-calendar","2 ore",{"icon":818,"caption":819,"text":820},"icon-lessons","LEZIONI","100% on demand",[822,838,845,852],{"title":823,"items":824},"Introduzione all'AI Governance",[825,828,830,832,834,836],{"title":826,"text":827},"Introduzione alla Governance delle Intelligenze Artificiali: Caratteristiche e Differenze","\u003Cp>\u003Cspan class=\"text-color-grey-700\">Nessun dettaglio\u003C/span>\u003C/p>\n",{"title":829,"text":827},"AI e Software Tradizionali: Una Differenza di Governance e Responsabilità",{"title":831,"text":827},"L'importanza dell'Etica e della Spiegabilità nei Sistemi di AI",{"title":833,"text":827},"Framework di Governance per l'AI: Il Modello a Clessidra",{"title":835,"text":827},"Il Modello di Governance AI di Schneiderman: Focus sull'Umano e sulla Sicurezza",{"title":837,"text":827},"Intelligenza Artificiale e Governance: I Quattro Punti Chiave",{"title":839,"items":840},"Valutazione e gestione del rischio",[841,843],{"title":842,"text":827},"AI Risk: Sfide e Opportunità nell'Intelligenza Artificiale",{"title":844,"text":827},"Governance e Standard per l'AI: Affrontare i Rischi Etici e Operazionali",{"title":846,"items":847},"Case Studies",[848,850],{"title":849,"text":827},"Governance dell'AI nel Controllo Aereo: Sfide e Successi",{"title":851,"text":827},"Il Lato Oscuro dei Modelli di Linguaggio: Allucinazioni e Privacy",{"title":853,"items":854},"Implementazione pratica dell'AI Governance",[855,857,859,861],{"title":856,"text":827},"Il Valore dell'Informazione nella Gestione dei Rischi AI",{"title":858,"text":827},"Strategie di mitigazione e trasferimento dei rischi AI",{"title":860,"text":827},"Come Creare un Framework di Gestione del Rischio per l'AI",{"title":862,"text":827},"Conclusioni",1777976836081]