{"id":105398,"date":"2025-04-02T05:12:59","date_gmt":"2025-04-02T05:12:59","guid":{"rendered":"https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/?p=105398"},"modified":"2025-04-02T05:13:00","modified_gmt":"2025-04-02T05:13:00","slug":"gpt-4o-riconosce-contenuti-protetti-dubbi-sulluso-di-libri-oreilly-nel-pre-training","status":"publish","type":"post","link":"https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/gpt-4o-riconosce-contenuti-protetti-dubbi-sulluso-di-libri-oreilly-nel-pre-training\/","title":{"rendered":"GPT-4o riconosce contenuti protetti: dubbi sull\u2019uso di libri O\u2019Reilly nel pre-training"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>Una ricerca indipendente rivela il possibile utilizzo di contenuti non pubblici da parte di OpenAI. Serve trasparenza nei dati di addestramento.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Uno studio dell\u2019<strong>AI Disclosures Project<\/strong>&nbsp;(Social Science Research Council), guidato da&nbsp;<strong>Sruly Rosenblat, Tim O\u2019Reilly e Ilan Strauss<\/strong>, ha messo sotto esame i dataset usati per addestrare i modelli linguistici di OpenAI. Usando il metodo&nbsp;<strong>DE-COP<\/strong>, un test di membership inference, gli autori hanno analizzato 34 libri protetti da copyright pubblicati da&nbsp;<strong>O\u2019Reilly Media<\/strong>, confrontando i risultati su diversi modelli di OpenAI.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">La ricerca ha rilevato che&nbsp;<strong>GPT-4o<\/strong>, il modello pi\u00f9 avanzato dell\u2019azienda, mostra una&nbsp;<strong>forte capacit\u00e0 di riconoscere contenuti non pubblici<\/strong>&nbsp;(AUROC 82%), suggerendo un possibile utilizzo di dati riservati nel pre-training. In confronto,&nbsp;<strong>GPT-3.5 Turbo<\/strong>&nbsp;ha mostrato maggiore familiarit\u00e0 con versioni accessibili pubblicamente degli stessi testi. Il modello&nbsp;<strong>GPT-4o Mini<\/strong>, invece, non ha riconosciuto n\u00e9 contenuti pubblici n\u00e9 protetti (AUROC \u2248 50%), rafforzando la tesi che le performance derivino dalla quantit\u00e0 e tipologia dei dati usati.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Questi risultati sollevano interrogativi sull\u2019etica e la legalit\u00e0 dell\u2019addestramento dei LLM con&nbsp;<strong>dati protetti da copyright senza consenso<\/strong>. Gli autori chiedono maggiore&nbsp;<strong>trasparenza aziendale<\/strong>&nbsp;e&nbsp;<strong>accordi di licenza formali<\/strong>&nbsp;per l\u2019utilizzo dei contenuti nel training dei modelli.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udcda Fonti<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>AI Disclosures Project (SSRC):\u00a0<a href=\"https:\/\/ssrc-static.s3.us-east-1.amazonaws.com\/OpenAI-Training-Violations-OReillyBooks_Sruly-OReilly-Strauss_SSRC_04012025.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">ssrc.org<\/a><\/li>\n\n\n\n<li>Institute for Innovation and Public Purpose, UCL:\u00a0<a href=\"https:\/\/www.ucl.ac.uk\/bartlett\/public-purpose\/\" target=\"_blank\" rel=\"noreferrer noopener\">ucl.ac.uk\/iipp<\/a><\/li>\n\n\n\n<li>O&#8217;Reilly Media:\u00a0<a href=\"https:\/\/www.oreilly.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">oreilly.com<\/a><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udd0d Approfondimenti<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/hai.stanford.edu\/news\/who-owns-data-training-ai\" target=\"_blank\" rel=\"noreferrer noopener\">AI Copyright &amp; Training Data \u2013 Stanford HAI<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/artificialintelligenceact.eu\/\" target=\"_blank\" rel=\"noreferrer noopener\">EU AI Act e trasparenza nei modelli linguistici<\/a><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">\u2696\ufe0f Conclusioni<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Pro<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Aumento della consapevolezza pubblica sul tema del copyright<\/li>\n\n\n\n<li>Spinta verso modelli di licensing pi\u00f9 equi<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Rischi etici e sociali<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Violazioni sistemiche del diritto d\u2019autore<\/li>\n\n\n\n<li>Rischio legale per le aziende tech<\/li>\n\n\n\n<li>Erosione della fiducia in tecnologie AI \u201cblack box\u201d<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2025\/04\/GPT-4o-riconosce-contenuti-protetti-dubbi-sulluso-di-libri-OReilly-nel-pre-training-1024x683.jpg\" alt=\"GPT-4o riconosce contenuti protetti- dubbi sull\u2019uso di libri O\u2019Reilly nel pre-training\" class=\"wp-image-105400\" srcset=\"https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2025\/04\/GPT-4o-riconosce-contenuti-protetti-dubbi-sulluso-di-libri-OReilly-nel-pre-training-1024x683.jpg 1024w, https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2025\/04\/GPT-4o-riconosce-contenuti-protetti-dubbi-sulluso-di-libri-OReilly-nel-pre-training-300x200.jpg 300w, https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2025\/04\/GPT-4o-riconosce-contenuti-protetti-dubbi-sulluso-di-libri-OReilly-nel-pre-training-768x512.jpg 768w, https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2025\/04\/GPT-4o-riconosce-contenuti-protetti-dubbi-sulluso-di-libri-OReilly-nel-pre-training-696x464.jpg 696w, https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2025\/04\/GPT-4o-riconosce-contenuti-protetti-dubbi-sulluso-di-libri-OReilly-nel-pre-training-1068x712.jpg 1068w, https:\/\/www.aiopenmind.it\/ArtificialIntelligence\/wp-content\/uploads\/2025\/04\/GPT-4o-riconosce-contenuti-protetti-dubbi-sulluso-di-libri-OReilly-nel-pre-training.jpg 1536w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Una ricerca indipendente rivela il possibile utilizzo di contenuti non pubblici da parte di OpenAI. Serve trasparenza nei dati di addestramento. Uno studio dell\u2019AI Disclosures Project&nbsp;(Social Science Research Council), guidato da&nbsp;Sruly Rosenblat, Tim O\u2019Reilly e Ilan Strauss, ha messo sotto esame i dataset usati per addestrare i modelli linguistici di OpenAI. Usando il metodo&nbsp;DE-COP, un [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":105400,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"footnotes":""},"categories":[53],"tags":[58,154,60],"class_list":["post-105398","post","type-post","status-publish","format-standard","has-post-thumbnail","category-newsethos","tag-copyright","tag-etica","tag-openai"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>GPT-4o riconosce contenuti protetti: dubbi sull\u2019uso di libri O\u2019Reilly nel pre-training &#8212; AIopenmind<\/title>\n<meta name=\"description\" content=\"GPT-4o riconosce libri O\u2019Reilly non pubblici: analisi rivela potenziale uso di dati protetti nel pre-training\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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