{"id":6091,"date":"2023-10-03T21:06:41","date_gmt":"2023-10-03T21:06:41","guid":{"rendered":"https:\/\/dailyai.com\/?p=6091"},"modified":"2023-10-03T21:22:39","modified_gmt":"2023-10-03T21:22:39","slug":"ai-tools-finds-duplicate-images-in-papers-quicker-than-specialists","status":"publish","type":"post","link":"https:\/\/dailyai.com\/it\/2023\/10\/ai-tools-finds-duplicate-images-in-papers-quicker-than-specialists\/","title":{"rendered":"Gli strumenti di intelligenza artificiale trovano le immagini duplicate nei documenti pi\u00f9 velocemente degli specialisti"},"content":{"rendered":"

In uno studio recente, uno strumento di intelligenza artificiale ha superato un esperto umano nell'individuazione di immagini duplicate in documenti di ricerca scientifica.\u00a0<\/b><\/p>\n

Sholto David, che indaga sulla manipolazione delle immagini nei documenti accademici, ha notato che molti nella comunit\u00e0 scientifica non sono consapevoli della portata di questo problema.\u00a0<\/span><\/p>\n

Ha utilizzato l'intelligenza artificiale per esaminare numerosi documenti della <\/span>Rapporti tossicologici <\/span><\/i>alla ricerca di duplicazioni di immagini. <\/span><\/p>\n

La ricerca scientifica si basa sull'autenticit\u00e0 e sull'accuratezza. La duplicazione di queste immagini getta un'ombra di dubbio sull'integrit\u00e0 dell'intero studio.\u00a0<\/span><\/p>\n

Inoltre, le immagini duplicate possono distorcere la verit\u00e0 e spesso non danno il giusto credito al creatore. Se riutilizzate in modo improprio o fuori contesto, possono portare a interpretazioni o conclusioni fuorvianti. Le rappresentazioni errate si ripercuotono sullo studio immediato e possono influenzare le ricerche successive basate su premesse errate.\u00a0<\/span><\/p>\n

Lo strumento di David, a una velocit\u00e0 notevolmente superiore alle sue capacit\u00e0, ha identificato quasi tutti i documenti sospetti che aveva contrassegnato e 41 che aveva trascurato. La carta \u00e8 <\/span>attualmente disponibile su Bioxriv<\/span><\/a>.<\/span><\/p>\n

In totale, su 715 lavori analizzati, 115 contenevano duplicazioni inappropriate (16%). Il documento \u00e8 attualmente disponibile su Bioxriv<\/a>.<\/span><\/p>\n

L'editoria accademica \u00e8 gi\u00e0 alle prese con i problemi legati alla manipolazione delle immagini. <\/span><\/p>\n

Uno studio del 2016 condotto dall'esperta di image forensics Elisabeth Bik ha rivelato che circa il 4% dei documenti da lei ispezionati visivamente su 40 riviste biomediche presentava immagini duplicate in modo improprio. <\/span>Lo studio di David colloca la cifra molto pi\u00f9 in alto.\u00a0<\/span><\/p>\n

David sottolinea inoltre che non tutte le manipolazioni delle immagini sono effettuate con cattive intenzioni. <\/span>Molti casi si verificano a causa di regolazioni accidentali o per motivi estetici e di chiarezza. <\/span><\/p>\n

Tuttavia, c'\u00e8 un crescente consenso sulla necessit\u00e0 di affrontare le alterazioni dell'immagine che violano le linee guida etiche.\u00a0<\/span><\/p>\n

Per saperne di pi\u00f9 sullo strumento AI<\/span><\/h2>\n

Lo strumento di intelligenza artificiale utilizzato da David per il suo studio, chiamato Imagetwin, \u00e8 gi\u00e0 utilizzato da circa 200 enti accademici, tra cui case editrici e universit\u00e0.\u00a0<\/span><\/p>\n

Questo software confronta le immagini dei documenti accademici con un vasto database di oltre 25 milioni di immagini per verificarle.\u00a0<\/span><\/p>\n

Patrick Starke, sviluppatore di ImageTwin, ha spiegato che genera una \"impronta digitale\" unica per ogni immagine di un documento di ricerca. Questa impronta viene successivamente utilizzata per le scansioni interne dei documenti e per i controlli esterni dei database.<\/span><\/p>\n

Starke ha rivelato che diverse universit\u00e0 stanno impiegando Imagetwin per esaminare i documenti prima dell'invio alle riviste.\u00a0<\/span><\/p>\n

L'intelligenza artificiale sta influenzando profondamente il mondo accademico. A <\/span>recente indagine su 1.600 ricercatori<\/span><\/a> dell'editore scientifico Nature ha rilevato che, nonostante il diffuso sostegno all'IA nel mondo accademico, circa 68% delle persone sono preoccupate per la disinformazione relativa ai modelli linguistici di grandi dimensioni (LLM) come ChatGPT.\u00a0<\/span><\/p>\n

Laddove un'IA contribuisce alla disinformazione, un'altra IA fornisce speranza - almeno in questo caso.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

In un recente studio, uno strumento di intelligenza artificiale ha superato un esperto umano nell'individuazione di immagini duplicate in documenti di ricerca scientifica. Sholto David, che studia la manipolazione delle immagini nei documenti accademici, ha notato che molti nella comunit\u00e0 scientifica non sono consapevoli della portata di questo problema. Ha utilizzato l'intelligenza artificiale per esaminare numerosi documenti della rivista Toxicology Reports alla ricerca di duplicazioni di immagini. La ricerca scientifica si basa sull'autenticit\u00e0 e sull'accuratezza. La duplicazione di queste immagini getta un'ombra di dubbio sull'integrit\u00e0 dell'intero studio. Inoltre, le immagini duplicate possono distorcere la verit\u00e0 e spesso non riescono a fornire al creatore<\/p>","protected":false},"author":2,"featured_media":6092,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[418,403,135],"class_list":["post-6091","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-academia","tag-nature","tag-science"],"yoast_head":"\nAI tools finds duplicate images in papers quicker than specialists | DailyAI<\/title>\n<meta name=\"description\" content=\"In a recent study, an AI tool outpaced a human expert in detecting duplicated images in scientific research papers.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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