{"id":7211,"date":"2023-11-08T21:06:32","date_gmt":"2023-11-08T21:06:32","guid":{"rendered":"https:\/\/dailyai.com\/?p=7211"},"modified":"2023-11-09T20:54:25","modified_gmt":"2023-11-09T20:54:25","slug":"studies-reveal-how-ai-generated-faces-reliably-trick-humans","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2023\/11\/studies-reveal-how-ai-generated-faces-reliably-trick-humans\/","title":{"rendered":"Studier afsl\u00f8rer, hvordan AI-genererede ansigter p\u00e5lideligt narrer mennesker"},"content":{"rendered":"

Et nyligt eksperiment viste, at mennesker kun kan identificere AI-genererede menneskeansigter korrekt i 48,2% af tilf\u00e6ldene.\u00a0<\/strong><\/p>\n

Den <\/span>unders\u00f8gelse<\/span><\/a> involverede 315 deltagere, der skulle skelne mellem \u00e6gte og AI-genererede ansigter. Ansigterne blev syntetiseret ved hj\u00e6lp af StyleGAN2, en topmoderne motor, der er i stand til at skabe forskellige og realistiske menneskelige ligheder.\u00a0<\/span><\/p>\n

Resultaterne var b\u00e5de fascinerende og lidt foruroligende; deltagernes evne til at identificere AI-genererede ansigter l\u00e5 p\u00e5 omkring 48,2% - d\u00e5rligere end et m\u00f8ntkast. <\/span><\/p>\n

Det er<\/span>viser, at for den gennemsnitlige person er AI's dybe falske ansigter n\u00e6sten ikke til at skelne fra rigtige menneskers. <\/span><\/p>\n

Du kan selv se, hvor livagtige disse ansigter er, ved at bes\u00f8ge <\/span>denne-person-eksisterer-ikke.com<\/span><\/a>som viser realistiske AI-genererede billeder af stort set hvem som helst, i hvilken som helst alder eller med hvilken som helst baggrund. Og dette v\u00e6rkt\u00f8j er nu et par \u00e5r gammelt.\u00a0<\/span><\/p>\n

\"AI-ansigt\"
Ligner det en, du kender? Denne person findes ikke.<\/figcaption><\/figure>\n

Unders\u00f8gelsen gik ogs\u00e5 i dybden med, om visse racer og k\u00f8n var mere udfordrende at klassificere korrekt.\u00a0<\/span><\/p>\n

Det blev observeret, at hvide ansigter, is\u00e6r mandlige, var de sv\u00e6reste for deltagerne at identificere korrekt som \u00e6gte eller syntetiske.\u00a0<\/span><\/p>\n

Grunden til, at det sker, kan v\u00e6re, at der er en overrepr\u00e6sentation af hvide ansigter i AI'ens tr\u00e6ningsdatas\u00e6t, hvilket if\u00f8lge unders\u00f8gelsen f\u00f8rer til mere realistiske hvide syntetiske ansigter.\u00a0<\/span><\/p>\n

\"AI-ansigt\"
Eksempler p\u00e5 de ansigter, der blev brugt i unders\u00f8gelsen. Kilde: \u00a9: PNAS<\/a>.<\/figcaption><\/figure>\n

Endnu mere sp\u00e6ndende var opdagelsen af, at deltagerne vurderede syntetiske ansigter som mere trov\u00e6rdige end \u00e6gte, om end med en beskeden margin.\u00a0<\/span>Det kunne tyde p\u00e5 en ubevidst pr\u00e6ference for de gennemsnitlige funktioner, som AI har en tendens til at generere, og som if\u00f8lge unders\u00f8gelsen if\u00f8lge tidligere forskning opfattes som mere trov\u00e6rdige.\u00a0<\/span><\/p>\n

En lille stigning i sandsynligheden for, at nogen tolker et AI-billede som mere trov\u00e6rdigt end et \u00e6gte billede, er meget bekymrende, n\u00e5r det skaleres op til befolkningsniveau.\u00a0<\/span><\/p>\n

Hjernens fortolkning af AI-genererede ansigter er kompleks<\/span><\/h2>\n

A <\/span>andet nyligt studie<\/span><\/a> gav deltagerne til opgave at identificere, om et ansigt var \u00e6gte eller ej, mens de var i gang med en opgave, der skulle distrahere dem.<\/span><\/p>\n

De kunne ikke bevidst skelne mellem de to, men tingene blev mere forvirrende, da deres hjerneaktivitet blev m\u00e5lt ved hj\u00e6lp af et elektroencefalogram (EEG).\u00a0<\/span><\/p>\n

Cirka 170 millisekunder efter at have set ansigterne viste hjernens elektriske aktivitet forskelle, n\u00e5r deltagerne s\u00e5 p\u00e5 \u00e6gte og syntetiske billeder. <\/span><\/p>\n

Det virkede som om<\/span>et ubevidste sind \"vidste\" bedre end det bevidste sind, hvorn\u00e5r et billede kunne v\u00e6re AI-genereret. Men p\u00e5 trods af dette kunne deltagerne ikke bevidst m\u00e6rke AI-ansigter med nogen robust grad af sikkerhed.\u00a0<\/span><\/p>\n

Vi kan spekulere i, at der er et bevidst fortolkningslag, hvor vi giver AI-genererede ansigter \"tvivlen til gode\", selv n\u00e5r vi er usikre. <\/span><\/p>\n

Vi er trods alt indrettet til at identificere og stole p\u00e5 menneskelige ansigter, s\u00e5 det er us\u00e6dvanligt sv\u00e6rt at l\u00f8srive sig fra det og isolere uoverensstemmelser, der kan afsl\u00f8re et AI-genereret billede.\u00a0<\/span><\/p>\n

Det er n\u00e6sten, som om den f\u00f8rste mistanke viger for en mere bekr\u00e6ftende bekr\u00e6ftelse af, at personen faktisk er \u00e6gte, n\u00e5r han eller hun ikke er det - en form for AI-initieret undskyldning.\u00a0<\/span><\/p>\n

Uanset hvad forklaringen p\u00e5 denne s\u00e6rhed er, er AI-genererede dybe forfalskninger en prioriteret risiko for teknologien, med en Seneste skandale<\/a> der rammer en skole i New Jersey.<\/p>\n

Dybt falske svindelnumre<\/a> er en regelm\u00e6ssig begivenhed, og der er en m\u00e6rkbar bekymring for, at falsk AI-genereret indhold kunne p\u00e5virke stemmeadf\u00e6rd<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"

Et nyligt eksperiment viste, at mennesker kun kan identificere AI-genererede menneskeansigter korrekt i 48,2% af tilf\u00e6ldene. Unders\u00f8gelsen involverede 315 deltagere, der skulle skelne mellem \u00e6gte og AI-genererede ansigter. Ansigterne blev syntetiseret ved hj\u00e6lp af StyleGAN2, en avanceret motor, der er i stand til at skabe forskellige og realistiske menneskebilleder. Resultaterne var b\u00e5de fascinerende og lidt foruroligende; deltagernes evne til at identificere AI-genererede ansigter svingede omkring 48,2% - d\u00e5rligere end et m\u00f8ntkast. Det tyder p\u00e5, at for den gennemsnitlige person er AI-dybe falske ansigter n\u00e6sten ikke til at skelne fra rigtige menneskers. Du kan selv se, hvor virkelighedstro disse ansigter er<\/p>","protected":false},"author":2,"featured_media":7214,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[162,413,451],"class_list":["post-7211","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-deep-fake","tag-deepfakes","tag-misinformation"],"yoast_head":"\nStudies reveal how AI-generated faces reliably trick humans | DailyAI<\/title>\n<meta name=\"description\" content=\"A recent experiment found that humans can correctly identify AI-generated human faces just 48.2% of the time.\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\/11\/studies-reveal-how-ai-generated-faces-reliably-trick-humans\/\" \/>\n<meta property=\"og:locale\" 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