{"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\/da\/2023\/10\/ai-tools-finds-duplicate-images-in-papers-quicker-than-specialists\/","title":{"rendered":"AI-v\u00e6rkt\u00f8jer finder duplikerede billeder i aviser hurtigere end specialister"},"content":{"rendered":"

I en nylig unders\u00f8gelse overgik et AI-v\u00e6rkt\u00f8j en menneskelig ekspert i at opdage duplikerede billeder i videnskabelige forskningsartikler.\u00a0<\/b><\/p>\n

Sholto David, som unders\u00f8ger billedmanipulation i akademiske artikler, bem\u00e6rkede, at mange i det videnskabelige samfund ikke er klar over omfanget af dette problem.\u00a0<\/span><\/p>\n

Han brugte AI til at granske adskillige artikler fra <\/span>Toksikologiske rapporter <\/span><\/i>journal p\u00e5 jagt efter billedduplikater. <\/span><\/p>\n

Videnskabelig forskning er baseret p\u00e5 autenticitet og n\u00f8jagtighed. N\u00e5r disse billeder kopieres, kaster det en skygge af tvivl over hele unders\u00f8gelsens integritet.\u00a0<\/span><\/p>\n

Desuden kan duplikerede billeder fordreje sandheden og ofte undlade at give ophavsmanden retf\u00e6rdig kredit. Hvis de genbruges forkert eller ude af kontekst, kan de f\u00f8re til misvisende fortolkninger eller konklusioner. Fejlagtig fremstilling p\u00e5virker den umiddelbare unders\u00f8gelse og kan sprede sig udad og p\u00e5virke efterf\u00f8lgende forskning baseret p\u00e5 fejlbeh\u00e6ftede pr\u00e6misser.\u00a0<\/span><\/p>\n

Davids v\u00e6rkt\u00f8j identificerede n\u00e6sten alle mist\u00e6nkelige papirer, som han havde markeret, og 41, som han havde overset, med en hastighed, der var betydeligt hurtigere end hans egne evner. Papiret er <\/span>i \u00f8jeblikket tilg\u00e6ngelig p\u00e5 Bioxriv<\/span><\/a>.<\/span><\/p>\n

I alt indeholdt 115 af de 715 analyserede artikler uhensigtsm\u00e6ssige duplikationer (16%). Papiret er i \u00f8jeblikket tilg\u00e6ngelig p\u00e5 Bioxriv<\/a>.<\/span><\/p>\n

Akademisk publicering k\u00e6mper allerede med problemer i forbindelse med billedmanipulation. <\/span><\/p>\n

En unders\u00f8gelse fra 2016 ledet af billedteknisk ekspert Elisabeth Bik afsl\u00f8rede, at omkring 4% af de artikler, hun inspicerede visuelt i 40 biomedicinske tidsskrifter, indeholdt ukorrekt duplikerede billeder. <\/span>Davids unders\u00f8gelse placerer tallet meget h\u00f8jere end det.\u00a0<\/span><\/p>\n

David understreger desuden, at ikke alle billedmanipulationer udf\u00f8res med onde hensigter. <\/span>Mange tilf\u00e6lde opst\u00e5r p\u00e5 grund af utilsigtede justeringer eller af hensyn til \u00e6stetik og klarhed. <\/span><\/p>\n

Ikke desto mindre er der en voksende konsensus om at h\u00e5ndtere billed\u00e6ndringer, der overtr\u00e6der de etiske retningslinjer.\u00a0<\/span><\/p>\n

Mere om AI-v\u00e6rkt\u00f8jet<\/span><\/h2>\n

Det AI-v\u00e6rkt\u00f8j, David brugte til sin unders\u00f8gelse, hedder Imagetwin og bruges allerede af ca. 200 akademiske enheder, herunder forlag og universiteter.\u00a0<\/span><\/p>\n

Denne software benchmarker billeder i akademiske artikler mod en stor database med over 25 millioner billeder for at verificere dem.\u00a0<\/span><\/p>\n

Patrick Starke, en af udviklerne af ImageTwin, forklarede, at det genererer et unikt \"fingeraftryk\" for hvert billede i en forskningsartikel. Dette fingeraftryk bruges efterf\u00f8lgende til interne papirscanninger og eksterne databasetjek.<\/span><\/p>\n

Starke afsl\u00f8rede, at forskellige universiteter bruger Imagetwin til at granske artikler, f\u00f8r de sendes til et tidsskrift.\u00a0<\/span><\/p>\n

AI har stor indflydelse p\u00e5 den akademiske verden. A <\/span>nylig unders\u00f8gelse af 1.600 forskere<\/span><\/a> af det videnskabelige forlag Nature fandt ud af, at p\u00e5 trods af udbredt st\u00f8tte til AI i den akademiske verden var omkring 68% mennesker bekymrede over misinformation i forbindelse med store sprogmodeller (LLM'er) som ChatGPT.\u00a0<\/span><\/p>\n

Hvor en AI bidrager til misinformation, giver en anden AI h\u00e5b - i hvert fald i dette tilf\u00e6lde.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

I en nylig unders\u00f8gelse overgik et AI-v\u00e6rkt\u00f8j en menneskelig ekspert i at opdage duplikerede billeder i videnskabelige forskningsartikler. Sholto David, som unders\u00f8ger billedmanipulation i akademiske artikler, bem\u00e6rkede, at mange i det videnskabelige samfund ikke er klar over omfanget af dette problem. Han brugte AI til at granske adskillige artikler fra tidsskriftet Toxicology Reports i jagten p\u00e5 billeddubleringer. Videnskabelig forskning er baseret p\u00e5 autenticitet og n\u00f8jagtighed. N\u00e5r disse billeder duplikeres, kaster det en skygge af tvivl over hele unders\u00f8gelsens integritet. Desuden kan duplikerede billeder fordreje sandheden og ofte undlade at give skaberen<\/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\" href=\"https:\/\/dailyai.com\/da\/2023\/10\/ai-tools-finds-duplicate-images-in-papers-quicker-than-specialists\/\" 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