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DIDATTICO","\u003Ch1 class=\"fw-semibold text-uppercase\">AI Act in Azienda\u003C/h1>\n","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">Il introduttivo di un’ora per orientarti sull’AI Act dal punto di vista di chi costruisce o integra sistemi AI: dalla classificazione del rischio al monitoraggio post-release, una mappa pratica per capire cosa cambia e da dove iniziare.\u003C/span>\u003C/p>\n","\u003Ch2>Descrizione\u003C/h2>\n\u003Cp class=\"font-size-body-1\">Con questo corso non resti fermo davanti a un regolamento di 100 articoli: impari a leggere l’AI Act dal punto di vista di chi costruisce o integra sistemi AI, mettendo a fuoco solo i concetti che impattano davvero il lavoro tecnico. In circa 60 minuti affronterai la classificazione del rischio con un framework a 2 domande, la logica del logging compatibile AI Act e GDPR, gli 8 gate minimi di go-live, le 5 dimensioni di vendor due diligence sui provider GPAI e i segnali da monitorare post-release. È la mappa iniziale per inquadrare il tema in azienda e capire dove servirà approfondire dopo.\u003C/p>\n",{"title":798,"list":799,"link":792},"DOMANDE FREQUENTI",[800,803,806,809,812,815,818,821,824,827,830],{"title":801,"text":802},"Cos'è l'AI Act e quando entra in vigore?","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">L’AI Act è il Regolamento Europeo sull’Intelligenza Artificiale, la prima normativa organica al mondo che disciplina lo sviluppo e l’uso di sistemi AI. Gli obblighi si applicano progressivamente: dal febbraio 2025 è in vigore l’obbligo di AI literacy (articolo 4), dal 2 agosto 2025 gli obblighi per i provider di General Purpose AI, dal 2 agosto 2026 la maggior parte degli obblighi generali inclusi i sistemi high-risk, e dal 2 agosto 2027 i requisiti per i sistemi high-risk collegati a prodotti già regolati.\u003C/span>\u003C/p>\n",{"title":804,"text":805},"A chi è rivolto questo corso sull'AI Act?","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-primary-800 text-color-grey-800\">Il corso è pensato come \u003Cstrong>primer introduttivo\u003C/strong> per team tecnici (engineering, DevOps, MLOps), product owner, compliance officer, CTO, CIO e responsabili di progetto che integrano o supervisionano sistemi AI in azienda. Non è un corso giuridico per avvocati né un corso operativo di approfondimento: è un’ora di orientamento per inquadrare velocemente cosa l’AI Act comporta dal punto di vista di chi costruisce i sistemi.\u003C/span>\u003C/p>\n",{"title":807,"text":808},"Serve un background legale per seguire il corso?","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">No. Il corso non richiede competenze giuridiche. Servono conoscenze base di intelligenza artificiale (cosa sono modelli, training, inferenza) e familiarità con i processi aziendali di sviluppo software o gestione prodotto. Il tono è tecnico-accessibile: ogni termine specialistico viene spiegato al primo utilizzo.\u003C/span>\u003C/p>\n",{"title":810,"text":811},"Che differenza c'è tra questo corso e i corsi legali sull'AI Act?","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">I corsi giuridici spiegano la norma: articoli, sanzioni, interpretazioni. Questo corso parte dalla norma e la racconta con gli occhi di chi costruisce o integra sistemi AI: quali sono i concetti chiave che un team tecnico deve avere in mente, classificazione dei casi d’uso, logging, go-live, vendor, monitoraggio post-release, senza la pretesa di esaurirli. L’output non è un parere legale né una guida all’implementazione: è una mappa iniziale per capire dove approfondire dopo.\u003C/span>\u003C/p>\n",{"title":813,"text":814},"Quanto dura il corso e come è strutturato?","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">Il corso è \u003Cstrong>introduttivo\u003C/strong> e dura \u003Cstrong>circa un’ora\u003C/strong>: 8 brevi video-lezioni organizzate in un percorso progressivo, dal concetto di sistema AI (non solo modello), alla classificazione del rischio con le 4 zone e il framework a 2 domande, fino alla shared responsibility con i vendor GPAI, al logging a strati, al monitoraggio post-release e alla checklist finale. È on-demand e si segue al proprio ritmo: pensato per dare una panoramica veloce e completa, non un approfondimento operativo.\u003C/span>\u003C/p>\n",{"title":816,"text":817},"Cosa si intende per classificazione del rischio AI Act?","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">L’AI Act classifica i sistemi AI in 4 zone di rischio: pratiche vietate (come social scoring invasivo o manipolazione subliminale), alto rischio (sistemi che operano in contesti come lavoro, istruzione, credito, giustizia), obblighi di trasparenza (ad esempio chatbot che devono dichiarare la loro natura AI) e rischio basso. Il corso insegna a classificare il rischio non in base al modello usato, ma in base al ruolo che il sistema ha nel processo reale.\u003C/span>\u003C/p>\n",{"title":819,"text":820},"Il corso copre anche gli aspetti GDPR legati all'AI?","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">Sì, in particolare nella lezione sul logging a strati. Il corso affronta il punto di incontro tra AI Act e GDPR: come loggare abbastanza per dimostrare la compliance senza violare la minimizzazione dei dati personali, con pattern concreti di retention differenziata, accesso ristretto e masking dei dati sensibili nei debug log.\u003C/span>\u003C/p>\n",{"title":822,"text":823},"In cosa si differenzia dai corsi AI Act disponibili su altre piattaforme?","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">La maggior parte dei corsi disponibili online si concentra sulla spiegazione giuridica della normativa o sulla certificazione teorica. Questo è un corso \u003Cstrong>introduttivo\u003C/strong> pensato dal punto di vista di chi costruisce sistemi AI: in un’ora dà una panoramica dei concetti che contano per un team tecnico, risk triage a 2 domande, logica del logging a 3 strati, 8 gate di go-live, 5 dimensioni di vendor review, segnali di drift post-release, spiegati con 8 micro-animazioni tecniche.\u003C/span>\u003C/p>\n",{"title":825,"text":826},"Il corso è aggiornato rispetto alle scadenze dell'AI Act?","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">Sì. Il corso integra la timeline completa degli obblighi progressivi dal 2025 al 2027, con attenzione specifica alle scadenze che impattano i team tecnici: obblighi AI literacy già in vigore, obblighi GPAI da agosto 2025, requisiti high-risk da agosto 2026. I contenuti riflettono lo stato normativo aggiornato.\u003C/span>\u003C/p>\n",{"title":828,"text":829},"Cosa posso fare concretamente dopo aver completato il corso?","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">Trattandosi di un corso introduttivo, l’obiettivo non è rendersi autonomi nell’implementazione completa, ma \u003Cstrong>avere chiari i prossimi passi\u003C/strong>. Il corso si chiude con una checklist di 4 attività iniziali da poter portare al team: avviare un inventario dei casi d’uso AI con owner, una prima bozza di risk classification, una ricognizione sui sistemi più vicini alla produzione, e una vendor review di alto livello per le dipendenze GPAI critiche. Da lì in poi, ogni area merita un approfondimento dedicato.\u003C/span>\u003C/p>\n",{"title":831,"text":832},"L'AI Act si applica anche se uso modelli AI di terze parti via API?","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">Sì, e questo è uno dei punti chiave del corso. Quando integri un General Purpose AI tramite API, il provider copre il modello nel suo perimetro (addestramento, infrastruttura, documentazione), ma tutto il resto, dati nei prompt, guardrail, interfaccia utente, logging, escalation, monitoraggio, resta in carico a te come integratore. La responsabilità non si scarica completamente sul fornitore.\u003C/span>\u003C/p>\n",[834,837,841,844],{"icon":835,"caption":71,"text":836},"icon-level","Da Beginner ad Advanced",{"icon":838,"caption":839,"text":840},"icon-round-check","PREREQUISITI","Nessun Prerequisito",{"icon":842,"caption":70,"text":843},"icon-calendar","49 minuti",{"icon":845,"caption":846,"text":847},"icon-lessons","LEZIONI","100% on demand",[849],{"title":754,"items":850},[851,854,856,858,860,862,864],{"title":852,"text":853},"AI Act e Governance","\u003Cp>\u003Cspan class=\"text-color-grey-700\">Nessun dettaglio\u003C/span>\u003C/p>\n",{"title":855,"text":853},"Il semaforo del rischio",{"title":857,"text":853},"I primi passi operativi",{"title":859,"text":853},"Logging a strati",{"title":861,"text":853},"Loop post go-live",{"title":863,"text":853},"AI Literacy in azienda",{"title":865,"text":853},"Compliance e Governance come standard di qualità",1781256543279]