{"id":3608,"date":"2023-08-03T20:16:05","date_gmt":"2023-08-03T20:16:05","guid":{"rendered":"https:\/\/dailyai.com\/?p=3608"},"modified":"2023-08-03T20:24:13","modified_gmt":"2023-08-03T20:24:13","slug":"ai-generated-deep-fake-voices-trick-over-1-4-of-participants-in-a-new-study","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2023\/08\/ai-generated-deep-fake-voices-trick-over-1-4-of-participants-in-a-new-study\/","title":{"rendered":"AI-genererede dybe falske stemmer narrer over 1\/4 af deltagerne i en ny unders\u00f8gelse"},"content":{"rendered":"

En ny unders\u00f8gelse viser, at selv n\u00e5r folk er klar over, at de kan lytte til dyb falsk tale, har de stadig sv\u00e6rt ved at identificere falske stemmer.<\/b><\/p>\n

Det g\u00e6lder b\u00e5de for engelsk- og mandarintalende, hvilket understreger, at dybe falske stemmer sandsynligvis er effektive p\u00e5 mange sprog.\u00a0<\/span><\/p>\n

Forskere fra University College London bad 500 mennesker om at identificere dyb falsk tale i flere lydklip. Nogle klip indeholdt en autentisk kvindestemme, der l\u00e6ste generiske s\u00e6tninger p\u00e5 enten engelsk eller mandarin, mens andre var deep fakes produceret af generative AI'er tr\u00e6net p\u00e5 kvindestemmer.<\/span><\/p>\n

Den <\/span>unders\u00f8gelse<\/span><\/a> Deltagerne blev delt op i to grupper, der hver is\u00e6r blev udsat for en anden form for eksperiment.\u00a0<\/span><\/p>\n

En gruppe blev pr\u00e6senteret for 20 stemmepr\u00f8ver p\u00e5 deres modersm\u00e5l og skulle afg\u00f8re, om klippene var \u00e6gte eller falske. Deltagerne identificerede korrekt de dybe forfalskninger og de autentiske stemmer cirka 73% af tiden for b\u00e5de de engelske og mandarinske stemmepr\u00f8ver.\u00a0<\/span><\/p>\n

En anden gruppe fik udleveret 20 tilf\u00e6ldigt udvalgte par af lydklip. Hvert par indeholdt den samme s\u00e6tning leveret af et menneske og den dybe forfalskning, og deltagerne fik til opgave at identificere forfalskningen. Dette \u00f8gede detektionsn\u00f8jagtigheden til 85,59%.<\/span><\/p>\n

I det f\u00f8rste eksperiment vil menneskers opdagelse af deep fakes i det virkelige liv sandsynligvis v\u00e6re d\u00e5rligere, end resultaterne antyder, da folk ikke ville blive advaret om, at de m\u00e5ske h\u00f8rte AI-genereret tale.\u00a0<\/span><\/p>\n

Omvendt har lytterne et bin\u00e6rt valg i det andet eksperiment, hvilket giver dem en fordel.<\/span><\/p>\n

Interessant nok var der relativt lille forskel p\u00e5 resultaterne for engelsk og mandarin.\u00a0<\/span><\/p>\n

Svindel med dyb falsk tale stiger i det virkelige liv<\/h2>\n

\"Denne ops\u00e6tning er ikke helt repr\u00e6sentativ for scenarier i det virkelige liv\", siger Mai. \"Lytterne ville ikke f\u00e5 at vide p\u00e5 forh\u00e5nd, om det, de lytter til, er \u00e6gte, og faktorer som talerens k\u00f8n og alder kunne p\u00e5virke detektionsevnen.\"<\/span><\/p>\n

Der er dog yderligere begr\u00e6nsninger, da unders\u00f8gelsen ikke udfordrede lytterne til at bestemme dybe forfalskninger, der var designet til at lyde som nogen, de kender, s\u00e5som en s\u00f8n, mor osv. Hvis svindlere gik efter nogen med en dyb forfalskning, ville de n\u00e6sten helt sikkert klone en persons stemme. Det er relativt nemt, hvis nogen har uploadet lyd eller videoer af sig selv online, f.eks. til en video p\u00e5 sociale medier, en podcast, en radio- eller tv-udsendelse.\u00a0<\/span><\/p>\n

Det sker allerede, med en <\/span>McAfee-unders\u00f8gelse<\/span><\/a> der viser, at omkring 1 ud af 4 voksne er klar over, at der foreg\u00e5r svindel med falske stemmer. <\/span><\/p>\n

AI-relateret svindel er ogs\u00e5 p\u00e5 vej <\/span>stigning i Kina<\/span><\/a>og en analytiker <\/span>forudsagde, at<\/span><\/a> AI-underst\u00f8ttet svindel kan koste mennesker og \u00f8konomier dyrt. Der er mange skr\u00e6mmende anekdoter fra folk, der allerede er blevet udsat for falske opkald, ofte i form af et panisk familiemedlem, der beder om penge til at redde dem ud af en vanskelig situation.\u00a0<\/span><\/p>\n

Denne unders\u00f8gelse viste, at falske stemmer \"bev\u00e6ger sig gennem den uhyggelige dal\" og efterligner den naturlige lyd af menneskestemmer, men mangler de subtile nuancer, der fremkalder mistanke hos nogle lyttere. Selvf\u00f8lgelig bliver AI-dybe falske stemmer hele tiden bedre.\u00a0<\/span><\/p>\n

Samlet set viser unders\u00f8gelsen, at den nuv\u00e6rende teknologi allerede er yderst kompetent, og fors\u00f8g p\u00e5 at forbedre personers evne til at opdage falske stemmer i unders\u00f8gelsen var stort set mislykkede.\u00a0<\/span><\/p>\n

Forfatterne fremh\u00e6ver behovet for at udvikle kompetente AI-stemmedetektorer og uddanne befolkningen i, hvor sofistikerede dybe falske stemmer allerede er. <\/span><\/p>\n

Fremtidig forskning i deep fakes, der replikerer stemmerne fra mennesker, som deltagerne i unders\u00f8gelsen kender, ville v\u00e6re indsigtsfuld.<\/span><\/p>\n

Der er praktiske m\u00e5der at identificere svindel med falsk tale p\u00e5, f.eks. ved at etablere kodeord mellem familiemedlemmer eller bede dem, der ringer, om at beskrive et stykke personlig information, som de kender.<\/p>","protected":false},"excerpt":{"rendered":"

En ny unders\u00f8gelse viser, at selv n\u00e5r folk er klar over, at de kan lytte til dyb falsk tale, har de stadig sv\u00e6rt ved at identificere falske stemmer. Det g\u00e6lder b\u00e5de engelsk- og mandarintalende, hvilket understreger, at dybe falske stemmer sandsynligvis er effektive p\u00e5 mange sprog. Forskere fra University College London bad 500 personer om at identificere dyb falsk tale i flere lydklip. Nogle klip indeholdt en autentisk kvindestemme, der l\u00e6ste generiske s\u00e6tninger p\u00e5 enten engelsk eller mandarin, mens andre var deep fakes produceret af generative AI'er, der var tr\u00e6net i kvindestemmer. Deltagerne i unders\u00f8gelsen blev inddelt i to grupper, hvor hver gruppe<\/p>","protected":false},"author":2,"featured_media":3610,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[162,161,273],"class_list":["post-3608","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-deep-fake","tag-fraud","tag-speech"],"yoast_head":"\nAI-generated deep fake voices trick over 1\/4 of participants in a new study | DailyAI<\/title>\n<meta name=\"description\" content=\"A new study found that even when people are aware they could be listening to deep fake speech, they still struggle to reliably identify fake voices.\" \/>\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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