{"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\/nb\/2023\/08\/ai-generated-deep-fake-voices-trick-over-1-4-of-participants-in-a-new-study\/","title":{"rendered":"AI-genererte falske stemmer lurer over 1\/4 av deltakerne i en ny studie"},"content":{"rendered":"

En ny studie viser at selv om folk er klar over at de kan lytte til falsk tale, sliter de likevel med \u00e5 identifisere falske stemmer.<\/b><\/p>\n

Dette gjelder b\u00e5de engelsk- og mandarintalende, noe som understreker at dype falske stemmer sannsynligvis er effektive p\u00e5 mange spr\u00e5k.\u00a0<\/span><\/p>\n

Forskere fra University College London ba 500 personer om \u00e5 identifisere falsk tale i flere lydklipp. Noen av klippene inneholdt en autentisk kvinnestemme som leste generiske setninger p\u00e5 enten engelsk eller mandarin, mens andre var dype forfalskninger produsert av generative AI-er trent p\u00e5 kvinnestemmer.<\/span><\/p>\n

Den <\/span>studie<\/span><\/a> Deltakerne ble delt inn i to grupper, som hver ble utsatt for en annen form for eksperiment.\u00a0<\/span><\/p>\n

Den ene gruppen ble presentert for 20 stemmepr\u00f8ver p\u00e5 sitt eget morsm\u00e5l og skulle avgj\u00f8re om klippene var ekte eller falske. Deltakerne identifiserte de falske og de autentiske stemmene i omtrent 73% av tilfellene, b\u00e5de for de engelske og mandarinske stemmepr\u00f8vene.\u00a0<\/span><\/p>\n

En annen gruppe fikk 20 tilfeldig utvalgte par med lydklipp. Hvert par inneholdt den samme setningen fremf\u00f8rt av et menneske og en dyp forfalskning, og deltakerne fikk i oppgave \u00e5 identifisere forfalskningen. Dette \u00f8kte deteksjonsn\u00f8yaktigheten til 85,59%.<\/span><\/p>\n

I det f\u00f8rste eksperimentet vil menneskelig gjenkjenning av deep fakes i det virkelige liv sannsynligvis v\u00e6re d\u00e5rligere enn resultatene antyder, ettersom folk ikke blir advart om at de kan h\u00f8re AI-generert tale.\u00a0<\/span><\/p>\n

I det andre eksperimentet har lytterne derimot et bin\u00e6rt valg, noe som gir dem en fordel.<\/span><\/p>\n

Interessant nok var det relativt liten forskjell i resultatene for engelsk p\u00e5 mandarin.\u00a0<\/span><\/p>\n

Bedragerier med falske ytringer \u00f8ker i det virkelige liv<\/h2>\n

\"Dette oppsettet er ikke helt representativt for virkelige scenarier\", sier Mai. \"Lytterne f\u00e5r ikke vite p\u00e5 forh\u00e5nd om det de lytter til, er ekte, og faktorer som foredragsholderens kj\u00f8nn og alder kan p\u00e5virke deteksjonsresultatet.\"<\/span><\/p>\n

Det er imidlertid flere begrensninger, ettersom studien ikke utfordret lytterne til \u00e5 avgj\u00f8re om det var en dyp forfalskning som skulle h\u00f8res ut som noen de kjente, for eksempel en s\u00f8nn, en mor osv. Hvis svindlere gikk etter noen med en dyp forfalskning, ville de nesten helt sikkert klonet stemmen til noen. Dette er relativt enkelt hvis noen har lastet opp lyd eller videoer av seg selv p\u00e5 nettet, for eksempel til en video i sosiale medier, en podkast, radio- eller TV-sending.\u00a0<\/span><\/p>\n

Dette er allerede i ferd med \u00e5 skje, med en <\/span>McAfee-unders\u00f8kelse<\/span><\/a> som viser at rundt 1 av 4 voksne er klar over at det forekommer svindel med falske stemmer. <\/span><\/p>\n

AI-relatert svindel er ogs\u00e5 p\u00e5 vei opp <\/span>\u00f8kning i Kina<\/span><\/a>, og en analytiker <\/span>sp\u00e5dde at<\/span><\/a> AI-st\u00f8ttet svindel kan koste mennesker og \u00f8konomier dyrt. Det finnes mange skremmende anekdoter fra mennesker som allerede har blitt utsatt for falske telefonsamtaler, ofte i form av et panikkslagent familiemedlem som ber om penger for \u00e5 redde dem ut av en vanskelig situasjon.\u00a0<\/span><\/p>\n

Denne studien viste at falske stemmer \"beveger seg gjennom den uhyggelige dalen\", og etterligner den naturlige lyden av menneskestemmer, men mangler de subtile nyansene som vekker mistenksomhet hos noen lyttere. Selvf\u00f8lgelig blir AI-dype falske stemmer stadig bedre.\u00a0<\/span><\/p>\n

Samlet sett viser studien at dagens teknologi allerede er sv\u00e6rt kompetent, og fors\u00f8kene p\u00e5 \u00e5 forbedre enkeltpersoners evne til \u00e5 oppdage falske stemmer i studien var i stor grad mislykket.\u00a0<\/span><\/p>\n

Forfatterne understreker behovet for \u00e5 utvikle kompetente AI-stemmedetektorer og opplyse befolkningen om hvor sofistikerte falske stemmer allerede er. <\/span><\/p>\n

Fremtidig forskning p\u00e5 deep fakes som replikerer stemmene til personer som studiedeltakerne kjenner, vil v\u00e6re nyttig.<\/span><\/p>\n

Det finnes praktiske m\u00e5ter \u00e5 avsl\u00f8re svindel med falsk tale p\u00e5, for eksempel ved \u00e5 etablere kodeord mellom familiemedlemmer eller be innringeren om \u00e5 beskrive en personlig opplysning som er kjent for begge parter.<\/p>","protected":false},"excerpt":{"rendered":"

En ny studie viser at selv om folk er klar over at de kan lytte til falsk tale, har de likevel problemer med \u00e5 identifisere falske stemmer. Dette gjelder b\u00e5de engelsk- og mandarintalende, noe som understreker at dype falske stemmer sannsynligvis er effektive p\u00e5 mange spr\u00e5k. Forskere fra University College London ba 500 personer om \u00e5 identifisere falsk tale i flere lydklipp. Noen av klippene inneholdt en autentisk kvinnestemme som leste generiske setninger p\u00e5 enten engelsk eller mandarin, mens andre var dype forfalskninger produsert av generative AI-er som var trent opp p\u00e5 kvinnestemmer. Deltakerne i studien ble delt inn i to grupper, der 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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