{"id":8900,"date":"2024-01-05T10:10:26","date_gmt":"2024-01-05T10:10:26","guid":{"rendered":"https:\/\/dailyai.com\/?p=8900"},"modified":"2024-01-05T10:10:26","modified_gmt":"2024-01-05T10:10:26","slug":"we-judge-white-ai-faces-as-real-more-often-than-human-faces","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2024\/01\/we-judge-white-ai-faces-as-real-more-often-than-human-faces\/","title":{"rendered":"Vi bed\u00f8mmer oftere hvide AI-ansigter som \u00e6gte end menneskeansigter"},"content":{"rendered":"

Forskerne fandt ud af, at folk generelt er d\u00e5rlige til at identificere, hvilke ansigter der er \u00e6gte, og hvilke der er genereret af AI. Hyperrealistiske AI-ansigter bed\u00f8mmes oftere som \u00e6gte end faktiske menneskeansigter.<\/strong><\/p>\n

Unders\u00f8gelsen<\/a>som blev ledet af Australian National University, omfattede eksperimenter for at se, om folk kunne skelne mellem menneskelige og AI-genererede ansigter, og hvilke tr\u00e6k der f\u00f8rte til de valg, folk traf.<\/p>\n

Tidligere unders\u00f8gelser viste, at deltagerne kunne spotte et ikke-hvidt AI-ansigt i omkring 50% af tilf\u00e6ldene. I denne nyere unders\u00f8gelse blev en gruppe p\u00e5 124 voksne vist en blanding af 100 AI-ansigter og 100 \u00e6gte hvide ansigter og bedt om at identificere, om de var \u00e6gte eller ej.<\/p>\n

Den AI-genererede ansigter<\/a> blev fejlagtigt identificeret som mennesker i 65,9% af tilf\u00e6ldene, mens menneskeansigter kun blev bed\u00f8mt som mennesker i 51,1% af tilf\u00e6ldene.<\/p>\n

Medforfatter Dr. Eva Krumhuber sagde: \"Kunstig intelligens har n\u00e5et et forbl\u00f8ffende niveau af realisme, og her finder vi, at den nogle gange endda kan virke mere virkelig end virkeligheden - hyperrealisme - s\u00e5 vi meget let kan blive narret til at tro, at et AI-genereret ansigt er \u00e6gte.\"<\/p>\n

Deltagerne blev ogs\u00e5 spurgt, hvor sikre de var p\u00e5 deres vurdering. I et klassisk eksempel p\u00e5 Dunning-Kruger-effekten var de deltagere, der lavede flest fejl, de mest sikre p\u00e5, at de vurderede korrekt.<\/p>\n

Elizabeth Miller, medforfatter til unders\u00f8gelsen og ph.d.-studerende ved Australian National University, sagde: \"Det er bekymrende, at de mennesker, der oftest troede, at AI-ansigterne var \u00e6gte, paradoksalt nok var de mest sikre p\u00e5, at deres vurderinger var korrekte.\"<\/p>\n

Hvordan ville du have klaret dig i testen? Hvilke af disse er \u00e6gte, og hvilke er AI-genererede? Vi fort\u00e6ller dig, hvordan du klarede dig l\u00e6ngere nede.<\/p>\n

\"\"
Ansigter, der oftest blev klassificeret som menneskelige eller AI. Kilde: Sage Journals<\/figcaption><\/figure>\n

Forskerne konkluderede, at AI-genererede ansigter ikke bare er umulige at skelne fra menneskeansigter, men at de har tr\u00e6k, der f\u00e5r dem til at virke endnu mere virkelige for os. De kaldte dette tr\u00e6k ved AI-ansigter for hyperrealisme.<\/p>\n

Forskerne brugte StyleGAN2, et generativt kontradiktorisk netv\u00e6rk (GAN), til at generere AI-ansigterne. StyleGAN2 blev tr\u00e6net p\u00e5 et stort datas\u00e6t med menneskeansigter, hvor omkring 69% var hvide og 31% for alle andre racer tilsammen.<\/p>\n

Forskerne konkluderede, at overrepr\u00e6sentationen af hvide ansigter gjorde det muligt for modellen at generere ansigter, der repr\u00e6senterede gennemsnittet af alle disse tr\u00e6k p\u00e5 en m\u00e5de, der fik dem til at se mere menneskelige end menneskelige ud.<\/p>\n

Artiklen konkluderede, at denne sk\u00e6vhed i tr\u00e6ningsdatas\u00e6ttene rejser vigtige sp\u00f8rgsm\u00e5l. \"Hvis AI-ansigter virker mere realistiske for hvide ansigter end for andre grupper, vil brugen af dem forveksle opfattelsen af race med opfattelsen af at v\u00e6re 'menneskelig'\", hedder det.<\/p>\n

Hvis en AI-models id\u00e9 om et menneskeansigt er et unaturligt gennemsnit af hvide ansigtstr\u00e6k, hvordan ville den s\u00e5 skelne mellem et rigtigt menneske af anden etnisk oprindelse og en AI-falskner, hvis den blev bedt om det?<\/p>\n

Seniorforfatter Dr. Amy Dawel sagde: \"Hvis hvide AI-ansigter konsekvent opfattes som mere realistiske, kan denne teknologi f\u00e5 alvorlige konsekvenser for farvede mennesker ved i sidste ende at forst\u00e6rke racem\u00e6ssige fordomme online.\"<\/p>\n

Hvilke funktioner f\u00f8rte til fejlene?<\/h2>\n

Der m\u00e5 v\u00e6re nogle specifikke tr\u00e6k ved et AI-ansigt, som f\u00e5r os til at tro, at det er mere menneskeligt end et rigtigt menneskeansigt. I det andet eksperiment blev 610 deltagere bedt om at vurdere AI- og menneskeansigter p\u00e5 en r\u00e6kke af 14 attributter, herunder tr\u00e6k som tiltr\u00e6kningskraft, \u00f8jenkontakt og udtryksfuldhed.<\/p>\n

\"\"
Ansigter, der oftest klassificeres som menneske eller AI, sammen med den korrekte klassificering. Procentdelen angiver andelen af deltagere, der foretog denne klassificering. Kilde: Sage Journals<\/figcaption><\/figure>\n

Ved at kombinere disse data med dem fra det f\u00f8rste eksperiment kunne forskerne identificere, hvad der gjorde folk mere tilb\u00f8jelige til at identificere et ansigt som v\u00e6rende AI-genereret eller \u00e6gte.<\/p>\n

De fandt ud af, at AI-ansigternes hyperrealisme kunne tilskrives, at de var \"betydeligt mere gennemsnitlige (mindre karakteristiske), velkendte og attraktive og mindre mindev\u00e6rdige end menneskeansigter.\"<\/p>\n

Det faktum, at vi er s\u00e5 hurtige til at acceptere, at et AI-ansigt er \u00e6gte, viser, hvor vigtigt det er at have v\u00e6rkt\u00f8jer til at afsl\u00f8re AI-falsknerier.<\/p>\n

Forskerne tog data fra de menneskeligt opfattede egenskaber, og hvordan de blev brugt korrekt og forkert, n\u00e5r de fejlidentificerede AI-ansigter, og skabte en maskinl\u00e6ringsmodel til at spotte AI-ansigter. Modellen var i stand til pr\u00e6cist at klassificere ansigtstypen med 94% n\u00f8jagtighed.<\/p>\n

Det er usandsynligt, at vi k\u00f8rer et ansigt gennem en AI-ansigtskontrol, hver gang vi ser et online. Og ansigtsgeneratorer vil kun blive bedre til at sl\u00e5 de falske detektorer.<\/p>\n

Dr. Dawel opsummerede, hvad vores bedste mulighed er i lyset af dette: \"At uddanne folk om den opfattede realisme af AI-ansigter kan hj\u00e6lpe med at g\u00f8re offentligheden passende skeptisk over for de billeder, de ser online.\"<\/p>\n

Hvis vi minder os selv om, at vi er virkelig d\u00e5rlige til at gennemskue forfalskninger, vil vi m\u00e5ske v\u00e6re mindre tilb\u00f8jelige til at lade os narre af dem.<\/p>","protected":false},"excerpt":{"rendered":"

Forskerne fandt ud af, at folk generelt er d\u00e5rlige til at identificere, hvilke ansigter der er \u00e6gte, og hvilke der er genereret af AI. Hyperrealistiske AI-ansigter bed\u00f8mmes oftere som \u00e6gte end faktiske menneskeansigter. Unders\u00f8gelsen, der blev ledet af Australian National University, omfattede eksperimenter for at se, om folk kunne skelne mellem menneskelige og AI-genererede ansigter, og hvilke tr\u00e6k der f\u00f8rte til de valg, folk traf. Tidligere unders\u00f8gelser viste, at deltagerne kunne spotte et ikke-hvidt AI-ansigt i omkring 50% af tilf\u00e6ldene. I denne nyere unders\u00f8gelse blev en gruppe p\u00e5 124 voksne vist en blanding af 100 AI-ansigter og 100 rigtige hvide ansigter.<\/p>","protected":false},"author":6,"featured_media":8903,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[163,94,165],"class_list":["post-8900","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-ai-risks","tag-deep-fakes","tag-image-generation"],"yoast_head":"\nWe judge White AI faces as real more often than human faces | DailyAI<\/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:\/\/dailyai.com\/da\/2024\/01\/we-judge-white-ai-faces-as-real-more-often-than-human-faces\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"We judge White AI faces as real more often than human faces | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers found that people are generally bad at identifying which faces are real and which are generated by AI. Hyperrealistic AI faces are more often judged as real than actual human faces. The study, led by the Australian National University, included experiments to see whether people could differentiate between human and AI-generated faces and which features led to the choices people made. Previous studies showed that participants could spot a non-White AI face around 50% of the time. 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