{"id":13064,"date":"2022-05-31T14:38:08","date_gmt":"2022-05-31T12:38:08","guid":{"rendered":"https:\/\/www.m-q.ch\/?p=16397"},"modified":"2022-07-28T15:30:52","modified_gmt":"2022-07-28T13:30:52","slug":"unabhaengige-ki-pruefung-bescheinigt-best-practice-fuer-betrugspraeventionsloesung","status":"publish","type":"post","link":"https:\/\/www.organisator.ch\/it\/operational-excellence\/2022-05-31\/unabhaengige-ki-pruefung-bescheinigt-best-practice-fuer-betrugspraeventionsloesung\/","title":{"rendered":"Un audit indipendente sull'intelligenza artificiale certifica le migliori pratiche per la soluzione di prevenzione delle frodi"},"content":{"rendered":"<figure id=\"attachment_16398\" class=\"wp-caption alignnone\" style=\"width: 680px\" aria-describedby=\"caption-attachment-16398\"><img class=\"alignnone wp-image-16398 size-full\" src=\"https:\/\/www.m-q.ch\/wp-content\/uploads\/2022\/05\/Unabhaengige-KI-Pruefung-bescheinigt-Best-Practice-fuer-Betrugspraeventionsloesung_MQ.jpg\" alt=\"Esame AI\" width=\"680\" height=\"453\" \/><figcaption id=\"caption-attachment-16398\" class=\"wp-caption-text\">Verifica dell'intelligenza artificiale: una verifica da parte del Fraunhofer IPA (seconda fase del grafico) conferma che la componente di ML per la soluzione di rilevamento delle frodi di Experian \u00e8 stata sviluppata correttamente e produce risultati comprensibili. (Fonte: Experian)<\/figcaption><\/figure>\r\nL'apprendimento automatico (ML) \u00e8 il metodo di intelligenza artificiale (AI) pi\u00f9 utilizzato. I sistemi ML imparano a riconoscere determinati schemi o leggi in modo largamente indipendente sulla base di esempi. Tuttavia, le relazioni causa-effetto in un modello addestrato non sono sempre aperte, cio\u00e8 la logica di come un risultato \u00e8 derivato dalle informazioni iniziali \u00e8 spesso poco evidente. Ecco perch\u00e9 la metafora della scatola nera viene spesso utilizzata nelle discussioni pubbliche. Ci\u00f2 va di pari passo con il fatto che i sistemi di ML non sono valutati solo positivamente, ma anche criticamente, il che costituisce un ulteriore ostacolo per un uso pi\u00f9 ampio della tecnologia.\r\n<h3>Analisi dettagliata della soluzione ML<\/h3>\r\nCome avviene in generale per qualsiasi utilizzo di modelli, la gestione responsabile e conforme alle regole \u00e8 particolarmente necessaria con i sistemi di ML. Come spesso accade, i progressi tecnici spingono le autorit\u00e0 di regolamentazione ad agire: la Commissione europea, ad esempio, sta attualmente lavorando a un progetto di legge per regolamentare l'uso dell'IA. Per garantire che i clienti siano al sicuro quando utilizzano la soluzione di prevenzione delle frodi AI:drian, il fornitore di servizi informativi Experian, che ha anche una filiale in Svizzera, ha incaricato l'IPA Fraunhofer di valutare se il componente ML Transaction Miner \u00e8 stato sviluppato in conformit\u00e0 con tutte le best practice e i requisiti legali e fornisce risultati comprensibili. Oltre alla bozza dell'UE, la revisione si \u00e8 basata su un libro bianco del T\u00dcV Austria e su un catalogo di test sull'intelligenza artificiale del Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, che indicano la strada per i futuri standard di mercato. Al termine di una fase di revisione molto dettagliata durata quattro mesi, questo esame ha raggiunto un risultato positivo.\r\n<h3>Certificare la conformit\u00e0 legale con un audit AI indipendente<\/h3>\r\n\"Stiamo assistendo all'utilizzo di un numero sempre maggiore di sistemi di ML in aree che la Commissione UE ha definito critiche, ad esempio nelle auto a guida autonoma o, come in questo caso, nella verifica delle intenzioni di frode e dell'affidabilit\u00e0 creditizia dei consumatori\", spiega il professor Marco Huber, responsabile del dipartimento Cyber Cognitive Intelligence (CCI) del Fraunhofer IPA. \"Non tutti i dettagli della prossima legislazione europea sono gi\u00e0 noti. Tuttavia, l'aspetto degli algoritmi che devono fornire risultati equi, spiegabili e comprensibili non \u00e8 banale, ma non \u00e8 nemmeno una stregoneria. La revisione del Transaction Miner di Experian ci ha dato l'opportunit\u00e0 di guardare sotto il cofano di un prodotto che \u00e8 gi\u00e0 in uso pratico e di lavorare su un processo standardizzato che sar\u00e0 utilizzabile una volta che la legislazione UE diventer\u00e0 legge.\"\r\n<h3>Il lavoro \u00e8 stato facilitato di oltre il 95 per cento<\/h3>\r\nIl Transaction Miner, testato dal Fraunhofer IPA, \u00e8 il componente centrale della soluzione di prevenzione delle frodi AI:drian, che Experian ha recentemente lanciato nella regione DACH. Grazie agli algoritmi di ML utilizzati, AI:drian \u00e8 in grado di rilevare i tentativi di frode online in modo pi\u00f9 affidabile rispetto ai sistemi precedenti. Per un cliente pilota del settore dell'e-commerce, il 99,9% delle transazioni che il transaction miner ha identificato come legittime sulla base della sua formazione non erano fraudolente e non sono state respinte di conseguenza. Invece di circa 7.000 richieste d'ordine al mese, solo 300 dovevano essere controllate manualmente: una riduzione del carico di lavoro di oltre il 95%. \"Nuovi sviluppi come l'apprendimento automatico vengono osservati criticamente dal pubblico\", commenta Martina Neumayr, Senior Vice President Credit Risk &amp; Fraud Services di Experian DACH. \"Ci sono anche esempi di sistemi di ML che forniscono risultati discutibili. Con il Transaction Miner abbiamo sviluppato un componente di ML particolarmente potente che pu\u00f2 essere utilizzato anche nei casi in cui la Commissione Europea vede una forte necessit\u00e0 di regolamentazione, ad esempio nel settore finanziario. Proprio per questo era particolarmente importante per noi agire in modo trasparente e far verificare la tecnologia in modo indipendente. Riteniamo che l'uso di nuove tecnologie possa essere accettato solo in presenza di controlli indipendenti come quelli effettuati dal Fraunhofer IPA. Tanto meglio se con questo risultato pionieristico abbiamo aperto la strada a una futura procedura standardizzata\".\r\n<h3>Un'ampia gamma di offerte intorno a \"IA affidabile<\/h3>\r\nGli audit come quello descritto sono una delle offerte principali del dipartimento CCI del Fraunhofer IPA. Uno dei temi di ricerca \u00e8 l'IA affidabile. In questo contesto, gli esperti dell'IPA sviluppano, tra l'altro, metodi per spiegare e salvaguardare i sistemi di intelligenza artificiale. Ci\u00f2 include anche la conduzione di audit e la convalida o qualificazione dei sistemi di IA come indipendenti e legalmente conformi. I servizi offerti sono indipendenti dal settore e sono adatti alle aziende, dalle start-up alle societ\u00e0.\r\n\r\n<em>Fonte: <a href=\"http:\/\/www.ipa.fraunhofer.de\/\">Fraunhofer IPA<\/a>. Ulteriori informazioni sul prodotto citato: <a href=\"https:\/\/www.experian.ch\/\">www.experian.ch<\/a><\/em>\n<p class=\"syndicated-attribution\">Questo articolo \u00e8 apparso originariamente su m-q.ch - <a href=\"https:\/\/www.m-q.ch\/de\/unabhaengige-ki-pruefung-bescheinigt-best-practice-fuer-betrugspraeventionsloesung\/\" target=\"_blank\">https:\/\/www.m-q.ch\/de\/unabhaengige-ki-pruefung-bescheinigt-best-practice-fuer-betrugspraeventionsloesung\/<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>Maschinelles Lernen (ML) ist die meistgenutzte Methode der K\u00fcnstlichen Intelligenz (KI). ML-Systeme lernen anhand von Beispielen weitgehend selbstst\u00e4ndig, bestimmte Muster oder Gesetzm\u00e4ssigkeiten zu erkennen. Die Wirkzusammenh\u00e4nge in einem trainierten Modell liegen allerdings nicht in jedem Fall offen, d.h., die Logik, wie aus den Ausgangsinformationen ein Ergebnis abgeleitet wird, ist oft kaum ersichtlich. Darum wird in [\u2026]<\/p>\n","protected":false},"author":8,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_focuskw":"KI-Pr\u00fcfung","_yoast_wpseo_metadesc":"Das Fraunhofer IPA hat die Machine-Learning-Komponente \u00bbTransaction Miner\u00ab des Informationsdienstleisters Experian einem Audit unterzogen.","articlekey":"","footnotes":""},"categories":[582],"tags":[3129],"class_list":["post-13064","post","type-post","status-publish","format-standard","hentry","category-operational-excellence","tag-ki-pruefung"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Unabh\u00e4ngige KI-Pr\u00fcfung bescheinigt Best Practice f\u00fcr Betrugspr\u00e4ventionsl\u00f6sung - Organisator<\/title>\n<meta name=\"description\" content=\"Das Fraunhofer IPA hat die Machine-Learning-Komponente \u00bbTransaction Miner\u00ab des Informationsdienstleisters Experian einem Audit unterzogen.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.m-q.ch\/de\/unabhaengige-ki-pruefung-bescheinigt-best-practice-fuer-betrugspraeventionsloesung\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Unabh\u00e4ngige KI-Pr\u00fcfung bescheinigt Best Practice f\u00fcr Betrugspr\u00e4ventionsl\u00f6sung - 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