{"id":110984,"date":"2025-11-07T13:58:16","date_gmt":"2025-11-07T13:58:16","guid":{"rendered":"https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/?p=110984"},"modified":"2025-11-07T14:00:55","modified_gmt":"2025-11-07T14:00:55","slug":"qualita-dei-dati-e-modelli-di-qualita-del-sw-dellia-iagoves2020","status":"publish","type":"post","link":"https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/qualita-dei-dati-e-modelli-di-qualita-del-sw-dellia-iagoves2020\/","title":{"rendered":"Qualit\u00e0 dei dati e modelli di qualit\u00e0 del sw dell\u2019IA &#8211; IAGOVES2020"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"617\" src=\"https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2025\/10\/IAGOVE2020-1024x617.jpg\" alt=\"IAGOVE2020\" class=\"wp-image-110549\" srcset=\"https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2025\/10\/IAGOVE2020-1024x617.jpg 1024w, https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2025\/10\/IAGOVE2020-300x181.jpg 300w, https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2025\/10\/IAGOVE2020-768x463.jpg 768w, https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2025\/10\/IAGOVE2020-1536x925.jpg 1536w, https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2025\/10\/IAGOVE2020-2048x1234.jpg 2048w, https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2025\/10\/IAGOVE2020-696x419.jpg 696w, https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2025\/10\/IAGOVE2020-1068x643.jpg 1068w, https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2025\/10\/IAGOVE2020-1920x1157.jpg 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Di <a href=\"https:\/\/web.archive.org\/web\/20210724073938\/https:\/\/intelligenzartificiale.unisal.it\/author\/domenico\/\">Domenico Natale<\/a> &#8211;\u00a013 Luglio 2020<\/p>\n\n\n\n<iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/4pjbycRCgBo?si=BPxkXfKzdZD4ZyM8\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/web.archive.org\/web\/20210724073938\/https:\/\/www.digg.com\/submit?url=https:\/\/intelligenzartificiale.unisal.it\/qualita-dei-dati-e-modelli-di-qualita-dellia\/\"><\/a><em>I sottotitoli\u00a0italiano, inglese, francese, spagnolo, portoghese, tedesco, giapponese, coreano, cinese e indiano\u00a0sono tradotti in automatico (seleziona impostazioni video)<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">La qualit\u00e0 dei dati \u00e8 definita in ambito ISO da quindici caratteristiche la cui osservanza garantisce che i dati siano: accurati, attuali, coerenti, completi, credibili, accessibili, comprensibili, conformi alle regole, efficienti, precisi, riservati, tracciabili, disponibili, portabili e ripristinabili [modello ISO\/IEC 25012 [6.1].&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Poich\u00e9 gli algoritmi di intelligenza artificiale sono principalmente tarati, e in grado di apprendere, partendo da esperienze inerenti le realt\u00e0 interessate, sar\u00e0 vantaggioso in tutti i settori disporre di&nbsp;dati di qualit\u00e0.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Nello standard si definisce il dato come \u201crappresentazione re-interpretabile di una informazione in un modo formalizzato utile per la comunicazione, l\u2019interpretazione o l\u2019elaborazione\u201d.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Le quindici caratteristiche di qualit\u00e0 [6.2], inerenti i dati e dipendenti dal sistema che li elabora:<br>a) cinque caratteristiche \u201cinerenti\u201d il dato, cio\u00e8 connesse al valore intrinseco del dato;<br>b) sette caratteristiche che dipendono sia dal dato stesso che dal sistema;&nbsp;<br>c) tre caratteristiche esclusive del sistema che trattano il dato senza entrare nel merito del suo contenuto.&nbsp;<br>Ad esempio, limitandoci alle prime cinque caratteristiche \u201cinerenti\u201d, il dato&nbsp;\u00e8 di qualit\u00e0 se soddisfa:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>accuratezza, intesa come perfetta rispondenza con il mondo reale che rappresenta;<\/li>\n\n\n\n<li>attualit\u00e0, cio\u00e8 del giusto tempo in cui il dato \u00e8 utilizzato;<\/li>\n\n\n\n<li>coerenza, quindi un dato non \u00e8 contraddittorio con altri dati;<\/li>\n\n\n\n<li>completezza, \u00e8 presente per tutti gli attributi necessari;<\/li>\n\n\n\n<li>credibilit\u00e0, il dato proviene da fonte certa.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">I modelli di qualit\u00e0 sintetizzano ulteriori caratteristiche valide anche per il software e i servizi. A sua volta quindi il software che elabora i dati deve soddisfare le caratteristiche di&nbsp;specifici&nbsp;<a href=\"https:\/\/web.archive.org\/web\/20210724073938\/https:\/\/intelligenzartificiale.unisal.it\/modelli-di-qualita-per-lintelligenza-artificiale\/\">modelli di qualit\u00e0<\/a>[6.3, 6.4] che prevedono: idoneit\u00e0 funzionale, usabilit\u00e0, compatibilit\u00e0, affidabilit\u00e0, sicurezza, performance, portabilit\u00e0, manutenibilit\u00e0. Inoltre i sistemi basati sull\u2019Intelligenza artificiale hanno alcune caratteristiche uniche che favoriscono particolari elaborazioni di dati e che non sono contenute nel modello di qualit\u00e0 citato:&nbsp;&nbsp;flessibilit\u00e0, adattabilit\u00e0, autonomia, evoluzione, distorsione, trasparenza \/ interpretabilit\u00e0 \/ esplicabilit\u00e0, complessit\u00e0 e non determinismo [1.4]. L\u2019intera serie di caratteristiche di qualit\u00e0 per i sistemi basati su AI potrebbe essere utilizzata come base per una lista di controllo utilizzata durante la pianificazione dei test per l\u2019identificazione dei rischi che devono essere mitigati dai test, similmente ai test tradizionali [6.5].&nbsp;<br>I modelli devono essere utilizzati a priori per una completa progettazione di nuove applicazioni e a posteriori per le attivit\u00e0 di test e come filtri di ci\u00f2 che \u00e8 errato nei dati o nel software, anche in manutenzione, con analisi adattate al mondo reale, e comprovando di continuo l\u2019affidabilit\u00e0 dei modelli predittivi dell\u2019IA.<br>Conformarsi ai modelli di qualit\u00e0 dei dati, del software e dell\u2019IA non vuol dire aderire a filosofie tipo il \u201cDataismo\u201d che sembra possa dare priorit\u00e0 dei dati rispetto all\u2019interpretazione umana. E\u2019 semmai il contrario: l\u2019uomo che definisce i modelli di orientamento vuole garantire nei limiti del possibile la credibilit\u00e0 dei dati e delle appropriate elaborazioni a fini di studio, ricerca e di ci\u00f2 che \u00e8 vero nei fenomeni. Anche i dati, come l\u2019IA stessa, sono elementi di base \u201cdonati\u201d alla Governance umana, rispondenti ai principi etici trasparenti che la sostengono.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Glossario a cura di\u00a0<a href=\"https:\/\/www.linkedin.com\/in\/domenico-natale-a9b99812\/?originalSubdomain=it\" target=\"_blank\" rel=\"noreferrer noopener\">Domenico NATALE<\/a>\u00a0e Videoglossario a\u00a0cura di\u00a0<a href=\"https:\/\/www.linkedin.com\/in\/maria-chiara-lorenzelli-8364671b2\/?originalSubdomain=it\" target=\"_blank\" rel=\"noreferrer noopener\">Maria Chiara LORENZELLI<\/a><\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">__________<br><em>Riferimenti bibliografici<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">[6.1] ISO\/IEC 25012: 2008 \u2013 Software engineering \u2014 Software product Quality Requirements and Evaluation (SQuaRE) \u2014 Data quality model<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">[6.2] Voce a cura di D. Natale cit. in Dizionario di Scienze e Tecniche \u201cLa Comunicazione\u201d Facolt\u00e0 di Scienze della Comunicazione dell\u2019Universit\u00e0 Pontificia Salesiana a cura di Franco Lever, Pier Cesare Rivoltella, Adriano Zanacchi<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">[6.3] ISO\/IEC 25010:2011 \u2013 Systems and Software engineering \u2013 Systems and Software product Quality Requirements and Evaluation (SQuaRE) \u2014 System and software quality models<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">[6.4] D. Natale \u201c<a href=\"https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/orientamenti-sul-modello-di-qualita-dellintelligenza-artificiale-iagoves2020\/\" target=\"_blank\" rel=\"noreferrer noopener\">Orientamenti sul modello di qualit\u00e0 dell\u2019Intelligenza Artificiale<\/a>\u201d riportati sul portale alla voce IA approfondimenti\u00a0<br><br>[6.5] ISO\/IEC\/IEEE DIS 29119-2-3-4:2020 (ed. 2) Software and systems engineering \u2013 Software testing<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Di Domenico Natale &#8211;\u00a013 Luglio 2020 I sottotitoli\u00a0italiano, inglese, francese, spagnolo, portoghese, tedesco, giapponese, coreano, cinese e indiano\u00a0sono tradotti in automatico (seleziona impostazioni video) La qualit\u00e0 dei dati \u00e8 definita in ambito ISO da quindici caratteristiche la cui osservanza garantisce che i dati siano: accurati, attuali, coerenti, completi, credibili, accessibili, comprensibili, conformi alle regole, efficienti, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":110563,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"footnotes":""},"categories":[424],"tags":[],"class_list":["post-110984","post","type-post","status-publish","format-standard","has-post-thumbnail","category-iagoves2020"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Qualit\u00e0 dei dati e modelli di qualit\u00e0 del sw dell\u2019IA - IAGOVES2020 &#8212; AIopenmind<\/title>\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.aiopenmind.it\/ArtificialIntelligence\/qualita-dei-dati-e-modelli-di-qualita-del-sw-dellia-iagoves2020\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Qualit\u00e0 dei dati e modelli di qualit\u00e0 del sw dell\u2019IA - IAGOVES2020 &#8212; AIopenmind\" \/>\n<meta property=\"og:description\" content=\"Di Domenico Natale &#8211;\u00a013 Luglio 2020 I sottotitoli\u00a0italiano, inglese, francese, spagnolo, portoghese, tedesco, giapponese, coreano, cinese e indiano\u00a0sono tradotti in automatico (seleziona impostazioni video) La qualit\u00e0 dei dati \u00e8 definita in ambito ISO da quindici caratteristiche la cui osservanza garantisce che i dati siano: accurati, attuali, coerenti, completi, credibili, accessibili, comprensibili, conformi alle regole, efficienti, [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/qualita-dei-dati-e-modelli-di-qualita-del-sw-dellia-iagoves2020\/\" \/>\n<meta property=\"og:site_name\" content=\"AIopenmind\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/aiopenmind\" \/>\n<meta property=\"article:published_time\" content=\"2025-11-07T13:58:16+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-11-07T14:00:55+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2025\/10\/IAGOVE2020-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2520\" \/>\n\t<meta property=\"og:image:height\" content=\"1310\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"adminanto\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@AIopenmind\" \/>\n<meta name=\"twitter:site\" content=\"@AIopenmind\" \/>\n<meta name=\"twitter:label1\" content=\"Scritto da\" \/>\n\t<meta name=\"twitter:data1\" content=\"adminanto\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tempo di lettura stimato\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minuti\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.aiopenmind.it\\\/ArtificialIntelligence\\\/qualita-dei-dati-e-modelli-di-qualita-del-sw-dellia-iagoves2020\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.aiopenmind.it\\\/ArtificialIntelligence\\\/qualita-dei-dati-e-modelli-di-qualita-del-sw-dellia-iagoves2020\\\/\"},\"author\":{\"name\":\"adminanto\",\"@id\":\"https:\\\/\\\/www.aiopenmind.it\\\/ArtificialIntelligence\\\/#\\\/schema\\\/person\\\/497572e8ff03fd87ebefe4f290570051\"},\"headline\":\"Qualit\u00e0 dei dati e modelli di qualit\u00e0 del sw dell\u2019IA &#8211; 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