{"id":6699,"date":"2026-03-14T12:06:13","date_gmt":"2026-03-14T11:06:13","guid":{"rendered":"https:\/\/www.mosaicfactor.com\/masterclass-explainable-ai-per-automotive-from-black-boxes-to-trust\/"},"modified":"2026-09-03T15:38:05","modified_gmt":"2026-09-03T13:38:05","slug":"masterclass-explainable-ai-per-automotive-from-black-boxes-to-trust","status":"publish","type":"post","link":"https:\/\/www.mosaicfactor.com\/ca\/masterclass-explainable-ai-per-automotive-from-black-boxes-to-trust\/","title":{"rendered":"Masterclass Explainable AI per automotive: from black boxes to trust\u00a0"},"content":{"rendered":"<p>La intel\u00b7lig\u00e8ncia artificial est\u00e0 transformant r\u00e0pidament la ind\u00fastria de l\u2019autom\u00f2bil, des dels sistemes ADAS i la conducci\u00f3 aut\u00f2noma fins al manteniment predictiu, el control de qualitat i la personalitzaci\u00f3 dins del vehicle. A mesura que els sistemes d\u2019IA influeixen cada cop m\u00e9s en decisions cr\u00edtiques per a la seguretat i regulades, una pregunta fonamental es fa present: <em>com podem confiar prou en els models d\u2019IA per desplegar-los de manera responsable a gran escala?<\/em> Per afrontar aquest repte, ens complau presentar un properament un webinar d\u2019<strong>Intel\u00b7lig\u00e8ncia Artificial Explicable (XAI)<\/strong>, dissenyat espec\u00edficament per a professionals de l\u2019autom\u00f2bil que necessiten <strong>crear models d\u2019IA que siguin responsables, transparents<\/strong> i <strong>de confian\u00e7a<\/strong>. Aquesta sessi\u00f3 explora els principis, t\u00e8cniques i pr\u00e0ctiques del m\u00f3n real necessaris per passar de models opacs de \u00abcaixa negra\u00bb a sistemes d\u2019IA que enginyers, reguladors i clients puguin confiar amb seguretat.<\/p>\n<h2><span data-contrast=\"auto\">Per qu\u00e8 la Explainable AI \u00e9s important en el sector Automotive<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/h2>\n<p>Els sistemes d\u2019IA en l\u2019automoci\u00f3 han de <strong>complir est\u00e0ndards extremadament alts de seguretat<\/strong>, <strong>regulaci\u00f3<\/strong> i <strong>responsabilitat<\/strong>. L\u2019IA explicable \u00e9s essencial per permetre:<\/p>\n<ul>\n<li>Compliment normatiu (incloent-hi les <a href=\"https:\/\/www.mosaicfactor.com\/ca\/aspectes-clau-de-la-llei-europea-dia-ai-act\/\">noves regulacions d\u2019IA<\/a> i els est\u00e0ndards de seguretat automotriu).<\/li>\n<li>Tra\u00e7abilitat de les decisions en sistemes cr\u00edtics per la seguretat.<\/li>\n<li>Depuraci\u00f3 i validaci\u00f3 de models de machine learning complexos.<\/li>\n<li>Detectar i solucionar biaixos tant en les dades com en les prediccions.<\/li>\n<li>Confian\u00e7a i acceptaci\u00f3 per part dels reguladors, partners i usuaris finals.<\/li>\n<\/ul>\n<p>Sense explicabilitat, fins i tot els models amb rendiment elevat poden ser dif\u00edcils o impossibles de certificar, validar o desplegar de manera responsable.<\/p>\n<h3><span class=\"TextRun SCXW247693210 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW247693210 BCX0\"><span data-contrast=\"auto\">Webinar<\/span><\/span><\/span><\/h3>\n<p><span data-contrast=\"auto\">Tot i que la sessi\u00f3 es fa en l\u00ednia, el seu enfocament pr\u00e0ctic, interactiu i aprofundit va m\u00e9s enll\u00e0 d\u2019un webinar tradicional. Els participants no nom\u00e9s aprendran qu\u00e8 \u00e9s la Intel\u00b7lig\u00e8ncia Artificial Explicable, sin\u00f3 tamb\u00e9 com aplicar-la directament en casos reals del sector de l\u2019automoci\u00f3 i en processos de desenvolupament. Per aix\u00f2 definim l\u2019esdeveniment com una masterclass en l\u00ednia, que combina profunditat i interactivitat amb l\u2019accessibilitat i la comoditat d\u2019un format tipus webinar.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<blockquote><p><span data-contrast=\"auto\">\ud83d\udce8 <strong>Clica <\/strong><\/span><span data-contrast=\"auto\"><strong><a href=\"https:\/\/mosaicfactor.typeform.com\/to\/UWEOAhAu\" target=\"_blank\" rel=\"noopener\">aqu\u00ed per a registrar-te<\/a><\/strong> ara.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><\/blockquote>\n<h3>Qu\u00e8 aprendr\u00e0s<\/h3>\n<p>Al final d&#8217;aquesta sessi\u00f3, els participants entendran com anar m\u00e9s enll\u00e0 de la precisi\u00f3 i <em>dissenyar sistemes d&#8217;IA que siguin<\/em>:<\/p>\n<ul>\n<li><strong>Transparents<\/strong>: el seu comportament es pot entendre i inspeccionar.<\/li>\n<li><strong>Responsables<\/strong>: les decisions es poden justificar i rastrejar.<\/li>\n<li><strong>Confiables<\/strong>: segurs per desplegar en entorns automobil\u00edstics reals.<\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Les persones participants obtindran <strong>coneixements pr\u00e0ctics<\/strong> i <strong>aplicables<\/strong> sobre: <\/span><\/p>\n<ol>\n<li><span data-contrast=\"auto\">Els <strong>fonaments de la Intel\u00b7lig\u00e8ncia Artificial Explicable<\/strong> (XAI) i la <strong>interpretabilitat dels models<\/strong>. <\/span><\/li>\n<li><span data-contrast=\"auto\">La difer\u00e8ncia entre <strong>models intr\u00ednsecament transparents<\/strong> i <strong>explicabilitat posteriors<\/strong>. <\/span><\/li>\n<li><span data-contrast=\"auto\"><strong>T\u00e8cniques claus de XAI<\/strong> per a aplicacions en l&#8217;automoci\u00f3 (per exemple: atribu\u00efci\u00f3 de caracter\u00edstiques i explicacions locals versus globals). <\/span><\/li>\n<li><span data-contrast=\"auto\">Com <strong>dissenyar sistemes d&#8217;IA<\/strong> que siguin <strong>responsables<\/strong> per disseny. <\/span><\/li>\n<li><span data-contrast=\"auto\"><strong>Integrar l&#8217;explicabilitat<\/strong> en els <strong>fluxos de desenvolupament<\/strong>, <strong>proves<\/strong> i <strong>validaci\u00f3<\/strong>. <\/span><\/li>\n<li><span data-contrast=\"auto\">Donar suport a <strong>auditories<\/strong>, <strong>documentaci\u00f3<\/strong> i <strong>revisions<\/strong> <strong>reguladores<\/strong> amb <strong>XAI<\/strong>. <\/span><\/li>\n<li><span data-contrast=\"auto\"><strong>Exemples reals de l&#8217;automoci\u00f3<\/strong> i lli\u00e7ons apreses.<\/span><\/li>\n<\/ol>\n<p><span data-contrast=\"auto\">L&#8217;enfocament est\u00e0 clarament en la presa de decisions pr\u00e0ctica, no en la teoria abstracta. La nostra <em><strong>Chief Data Scientist<\/strong>, Burcu Kolbay<\/em>, respondr\u00e0 preguntes al final<\/span>.<\/p>\n<h3>A qui va dirigit<\/h3>\n<p>Aquesta masterclass est\u00e0 dissenyada per a professionals que treballen amb IA dins de l\u2019ecosistema automotriu, incloent:<\/p>\n<ul>\n<li>Enginyers d\u2019IA i Aprenentatge Autom\u00e0tic<\/li>\n<li>Cient\u00edfics de Dades<\/li>\n<li>Enginyers d\u2019ADAS i Conducci\u00f3 Aut\u00f2noma<\/li>\n<li>Gestors de Seguretat Funcional i Compliance<\/li>\n<li>L\u00edders de R+D i Innovaci\u00f3<\/li>\n<li>Product Owners i Gestors T\u00e8cnics<\/li>\n<\/ul>\n<p>No cal tenir coneixements legals. Les perspectives aplicades i centrades en l\u2019enginyeria s\u00f3n el centre d\u2019atenci\u00f3.<\/p>\n<h2>Detalls del webinar<\/h2>\n<ul>\n<li><span data-contrast=\"auto\">Format: Online (live)<\/span><\/li>\n<li>Durada: 60 minuts<\/li>\n<li>Nivell: Intermig a Avan\u00e7at<\/li>\n<li>Idioma: Angl\u00e8s<span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<h2>Registre<\/h2>\n<p><em>Uneix-te a aquesta masterclass<\/em> per assegurar-te que les teves <strong>solucions d\u2019IA siguin potents<\/strong>, per\u00f2 tamb\u00e9 <strong>comprensibles<\/strong>, <strong>responsables<\/strong> i <strong>confiables<\/strong>.<\/p>\n<blockquote><p><span data-contrast=\"auto\"><strong><a href=\"https:\/\/mosaicfactor.typeform.com\/to\/UWEOAhAu\" target=\"_blank\" rel=\"noopener\">\ud83d\udce8 Clica <\/a><a href=\"https:\/\/mosaicfactor.typeform.com\/to\/UWEOAhAu\" target=\"_blank\" rel=\"noopener\">aqu\u00ed per a registrar-te<\/a> ara i <\/strong>ajudar a donar forma al futur de l\u2019IA automotriu de confian\u00e7a.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><\/blockquote>\n","protected":false},"excerpt":{"rendered":"<p>Explainable AI webinar series, by Mosaic Factor. La tercera \u00e9s XAI pel sector Automotive: from black boxes to trust.<\/p>\n","protected":false},"author":2,"featured_media":6316,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"categories":[205,216,212],"tags":[],"class_list":["post-6699","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-automocio","category-events-ca","category-trustworthy-ia-ca"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Mosaic Factor | Webinar Explainable AI per automotive<\/title>\n<meta name=\"description\" content=\"Mosaic Factor llan\u00e7a la Explainable AI webinar series. La tercera \u00e9s XAI pel sector Automotive: from black boxes to trust. 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