{"id":14305,"date":"2025-11-11T05:08:57","date_gmt":"2025-11-11T05:08:57","guid":{"rendered":"https:\/\/www.viasky.it\/?p=14305"},"modified":"2025-11-26T07:17:59","modified_gmt":"2025-11-26T07:17:59","slug":"bias-e-ai","status":"publish","type":"post","link":"https:\/\/www.viasky.it\/en\/bias-e-ai\/","title":{"rendered":"AI and Bias"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"14305\" class=\"elementor elementor-14305\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4e518554 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4e518554\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-44394ad1\" data-id=\"44394ad1\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f0e7c24 elementor-widget elementor-widget-text-editor\" data-id=\"f0e7c24\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"translation-block\">We live in an era where artificial intelligence shapes more and more aspects of our daily lives: from online searches to product recommendations, from hiring systems to banking services. AI is no longer an abstract concept but a set of technologies that make decisions on our behalf. Yet, behind the promise of objectivity and precision lies a more complex truth: even machines can be biased. When algorithms learn from data that reflect the inequalities of the real world, they end up reproducing them. This is the core issue of bias in artificial intelligence.<\/p><p class=\"translation-block\">This is a significant problem, because nowadays we are delegating important decisions to AI, for example in the insurance or banking sectors, so such distortions could have a concrete and negative impact on the lives of certain people, harmed simply by the fact of belonging to a certain user cluster, victims of the biases of artificial intelligence.<\/p><h3><strong>Come si addestra un\u2019intelligenza artificiale<\/strong><\/h3><p class=\"translation-block\">Artificial intelligence is not born intelligent. It learns, much like a child, by observing and identifying patterns within large amounts of data. During this \u201ctraining\u201d phase, the model receives millions of examples \u2014 images, texts, voices, human behaviors. The goal is for the AI, through repetition and computation, to identify statistical rules that allow it to predict or classify future events. However, AI doesn\u2019t truly understand what it sees: it recognizes correlations, not causes.<\/p><p class=\"translation-block\">The process is as powerful as it is fragile. If the input data contain distortions, omissions, or unbalanced representations, the model will learn those same imperfections, embedding them into its own logic.<\/p><h3><strong>Perch\u00e9 i dati in ingresso possono influenzare un\u2019AI<\/strong><\/h3><p>I dati sono la linfa vitale di qualsiasi sistema di intelligenza artificiale. Ma non tutti i dati sono uguali. Immaginiamo di addestrare un algoritmo per selezionare candidati a un lavoro, usando informazioni storiche di assunzioni aziendali. Se in passato l\u2019azienda ha assunto in prevalenza uomini, l\u2019AI tender\u00e0 a considerare il genere maschile come un indicatore di successo. Non perch\u00e9 lo \u201cpensi\u201d, ma perch\u00e9 lo \u201cvede\u201d nei numeri.<\/p><p class=\"translation-block\">This effect is known as data bias: a form of prejudice that originates within the data itself, caused by unrepresentative sampling, labeling errors, or a lack of diversity in data sources. AI, in the end, is a magnifying mirror \u2014 it doesn\u2019t create inequality, it reflects and amplifies it.<\/p><h3><strong>Human bias becomes part of the code<\/strong><\/h3><p>Ogni algoritmo \u00e8 il risultato di una serie di decisioni umane: quali dati utilizzare, come bilanciare le categorie, quali metriche di successo adottare. Dietro ogni riga di codice ci sono valori, priorit\u00e0 e, inevitabilmente, pregiudizi. Quando queste scelte vengono fatte senza consapevolezza critica, il rischio \u00e8 che il bias umano diventi parte integrante dell\u2019architettura digitale.<\/p><p>Un sistema di riconoscimento vocale, per esempio, potrebbe funzionare meglio con accenti anglosassoni perch\u00e9 gli sviluppatori che lo hanno progettato ne usano uno simile. Cos\u00ec, un limite culturale o linguistico si trasforma in un difetto tecnico. \u00c8 la dimostrazione che l\u2019AI non \u00e8 autonoma, ma profondamente plasmata da chi la costruisce.<\/p><h3><strong>Analyzing distortions in machine learning models<\/strong><\/h3><p class=\"translation-block\">Distortions in machine learning models can manifest in subtle yet damaging ways. They can alter a customer\u2019s credit score, penalize a r\u00e9sum\u00e9 for irrelevant attributes, or misidentify a face in a surveillance context. Researchers distinguish several types of bias: those in the data (data bias), those in the model itself (algorithmic bias), and systemic ones, rooted in the social and economic structures that the systems end up reproducing.<\/p><p>Analizzare e mitigare queste distorsioni richiede un approccio multidisciplinare: servono ingegneri, ma anche sociologi, eticisti e designer. \u00c8 qui che la tecnologia incontra la responsabilit\u00e0. Un algoritmo pu\u00f2 essere raffinato, ma resta sempre una traduzione statistica della realt\u00e0, e ogni traduzione comporta una perdita di significato.<\/p><h3><strong>\u00c8 possibile raggiungere la neutralit\u00e0?<\/strong><\/h3><p class=\"translation-block\">Absolute neutrality, in truth, is an illusion. Every decision \u2014 even an automated one \u2014 reflects a set of choices and perspectives. Rather than eliminating bias entirely, the realistic goal is to recognize it, measure it, and reduce its effects. Transparency and model auditing, diversity in development teams, and dataset traceability form the pillars of fair and trustworthy AI.<\/p><p>Un\u2019AI \u201cgiusta\u201d non \u00e8 quella che pretende di essere neutrale, ma quella che sa dichiarare la propria parzialit\u00e0 e costruire processi di correzione continui. In fondo, rendere l\u2019intelligenza artificiale pi\u00f9 umana significa proprio questo: accettare i limiti della perfezione e scegliere, consapevolmente, di migliorare.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t<div class=\"elementor-element elementor-element-8e1ce77 e-flex e-con-boxed e-con e-parent\" data-id=\"8e1ce77\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>\u00c8 molto importante comprendere che l&#8217;AI non \u00e8 oggettiva, bens\u00ec rispecchia le distorsioni umane con cui viene addestrata. Capiamo cosa sono i Bias.<\/p>","protected":false},"author":9,"featured_media":14579,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[44,38,43],"tags":[],"class_list":["post-14305","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-highlights","category-innovation","category-news"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Bias e AI - Viasky<\/title>\n<meta name=\"description\" content=\"L&#039;intelligenza artificiale si nutre dei nostri bias, ossia dei nostri pregiudizi, e li ripropone nelle decisioni che le deleghiamo.\" \/>\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.viasky.it\/en\/bias-e-ai\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Bias e AI - Viasky\" \/>\n<meta property=\"og:description\" content=\"L&#039;intelligenza artificiale si nutre dei nostri bias, ossia dei nostri pregiudizi, e li ripropone nelle decisioni che le deleghiamo.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.viasky.it\/en\/bias-e-ai\/\" \/>\n<meta property=\"og:site_name\" content=\"Viasky\" \/>\n<meta property=\"article:published_time\" content=\"2025-11-11T05:08:57+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-11-26T07:17:59+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.viasky.it\/wp-content\/uploads\/2025\/11\/bias-1.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"600\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Alessandro Chiarato\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Alessandro Chiarato\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimated reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.viasky.it\\\/bias-e-ai\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.viasky.it\\\/bias-e-ai\\\/\"},\"author\":{\"name\":\"Alessandro Chiarato\",\"@id\":\"https:\\\/\\\/www.viasky.it\\\/#\\\/schema\\\/person\\\/dd7e843380f8c017d874141c471d05a3\"},\"headline\":\"Bias e AI\",\"datePublished\":\"2025-11-11T05:08:57+00:00\",\"dateModified\":\"2025-11-26T07:17:59+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.viasky.it\\\/bias-e-ai\\\/\"},\"wordCount\":753,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/www.viasky.it\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.viasky.it\\\/bias-e-ai\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.viasky.it\\\/wp-content\\\/uploads\\\/2025\\\/11\\\/bias-1.png\",\"articleSection\":[\"Highlights\",\"Innovation\",\"News\"],\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.viasky.it\\\/bias-e-ai\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.viasky.it\\\/bias-e-ai\\\/\",\"url\":\"https:\\\/\\\/www.viasky.it\\\/bias-e-ai\\\/\",\"name\":\"Bias e AI - 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