{"id":12043,"date":"2024-05-08T15:17:20","date_gmt":"2024-05-08T15:17:20","guid":{"rendered":"https:\/\/dailyai.com\/?p=12043"},"modified":"2024-05-08T15:17:20","modified_gmt":"2024-05-08T15:17:20","slug":"ai-transcription-tools-generate-harmful-hallucinations","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2024\/05\/ai-transcription-tools-generate-harmful-hallucinations\/","title":{"rendered":"AI-transkriptionsv\u00e6rkt\u00f8jer skaber skadelige hallucinationer"},"content":{"rendered":"

Tale-til-tekst-transkribenter er blevet uvurderlige, men en ny unders\u00f8gelse viser, at n\u00e5r AI'en tager fejl, er den hallucinerede tekst ofte skadelig.<\/strong><\/p>\n

AI-transskriptionsv\u00e6rkt\u00f8jer er blevet ekstremt pr\u00e6cise og har \u00e6ndret den m\u00e5de, l\u00e6ger f\u00f8rer patientjournaler p\u00e5, eller hvordan vi tager referat af m\u00f8der. Vi ved, at de ikke er perfekte, s\u00e5 vi bliver ikke overraskede, n\u00e5r transskriptionen ikke er helt korrekt.<\/p>\n

En ny unders\u00f8gelse<\/a> fandt ud af, at n\u00e5r mere avancerede AI-transskribenter som OpenAI<\/span>'s Whisper beg\u00e5r fejl, producerer de ikke bare forvr\u00e6nget eller tilf\u00e6ldig tekst. De hallucinerer hele s\u00e6tninger, og de er ofte foruroligende.<\/p>\n

Vi ved, at alle AI-modeller hallucinerer. N\u00e5r ChatGPT<\/span> ikke kender svaret p\u00e5 et sp\u00f8rgsm\u00e5l, vil den ofte finde p\u00e5 noget i stedet for at sige \"jeg ved det ikke\".<\/p>\n

Forskere fra Cornell University, University of Washington, New York University og University of Virginia fandt ud af, at selv om Whisper API var bedre end andre v\u00e6rkt\u00f8jer, hallucinerede det stadig lidt over 1% af tiden.<\/p>\n

Det mere betydningsfulde resultat er, at da de analyserede den hallucinerede tekst, fandt de ud af, at \"38% af hallucinationerne inkluderer eksplicitte skader s\u00e5som at ud\u00f8ve vold, opfinde un\u00f8jagtige associationer eller antyde falsk autoritet.\"<\/p>\n

Det lader til, at Whisper ikke bryder sig om akavet tavshed, s\u00e5 n\u00e5r der var l\u00e6ngere pauser i talen, havde den en tendens til at hallucinere mere for at fylde hullerne ud.<\/p>\n

Det bliver et alvorligt problem, n\u00e5r man transskriberer tale, der er talt af mennesker med afasi, en taleforstyrrelse, der ofte f\u00e5r personen til at k\u00e6mpe for at finde de rigtige ord.<\/p>\n

Sk\u00f8desl\u00f8s hvisken<\/h2>\n

Artiklen beskriver resultaterne af eksperimenter med tidlige 2023-versioner af Whisper. OpenAI<\/span> har siden forbedret v\u00e6rkt\u00f8jet, men Whispers tendens til at g\u00e5 over til den m\u00f8rke side, n\u00e5r han hallucinerer, er interessant.<\/p>\n

Forskerne klassificerede de skadelige hallucinationer p\u00e5 f\u00f8lgende m\u00e5de:<\/p>\n

    \n
  • Forts\u00e6ttelse af vold:<\/strong> Hallucinationer, der skildrede vold, kom med seksuelle hentydninger eller involverede demografiske stereotyper.<\/li>\n
  • Upr\u00e6cise associationer:<\/strong> hallucinationer, der introducerer falske oplysninger, s\u00e5som forkerte navne, fiktive relationer eller fejlagtige helbredstilstande.<\/li>\n
  • Falsk autoritet:<\/strong> Disse hallucinationer omfattede tekst, der udgav sig for at v\u00e6re autoritative personer eller medier, s\u00e5som YouTubere eller nyhedsopl\u00e6sere, og involverede ofte direktiver, der kunne f\u00f8re til phishing-angreb eller andre former for bedrageri.<\/li>\n<\/ul>\n

    Her er nogle eksempler p\u00e5 transskriptioner, hvor ordene med fed skrift er Whispers hallucinerede tilf\u00f8jelser.<\/p>\n

    \"\"
    Whispers hallucinerede tilf\u00f8jelser til transskriptionen er vist med fed skrift. Kilde: arXiv<\/figcaption><\/figure>\n
    \"\"
    Whispers hallucinerede tilf\u00f8jelser til transskriptionen er vist med fed skrift. Kilde: arXiv<\/figcaption><\/figure>\n

    Du kan forestille dig, hvor farlige den slags fejl kan v\u00e6re, hvis transskriptionerne antages at v\u00e6re n\u00f8jagtige, n\u00e5r de dokumenterer et vidneudsagn, et telefonopkald eller en patients l\u00e6gejournal.<\/p>\n

    Hvorfor tog Whisper en s\u00e6tning om en brandmand, der redder en kat, og tilf\u00f8jede en \"blodindsmurt barnevogn\" til scenen, eller tilf\u00f8jede en \"terrorkniv\" til en s\u00e6tning, der beskriver en person, der \u00e5bner en paraply?<\/p>\n

    OpenAI<\/span> ser ud til at have l\u00f8st problemet, men har ikke givet nogen forklaring p\u00e5, hvorfor Whisper opf\u00f8rte sig, som den gjorde. Da forskerne testede de nyere versioner af Whisper, fik de langt f\u00e6rre problematiske hallucinationer.<\/p>\n

    Konsekvenserne af selv sm\u00e5 eller meget f\u00e5 hallucinationer i transskriptioner kan v\u00e6re alvorlige.<\/p>\n

    Artiklen beskriver et scenarie fra den virkelige verden, hvor et v\u00e6rkt\u00f8j som Whisper bruges til at transskribere videointerviews med jobans\u00f8gere. Transskriptionerne f\u00f8res ind i et ans\u00e6ttelsessystem, der bruger en sprogmodel til at analysere transskriptionen for at finde den bedst egnede kandidat.<\/p>\n

    Hvis en interviewperson holdt en lidt for lang pause, og Whisper tilf\u00f8jede \"terrorkniv\", \"blodindsmurt barnevogn\" eller \"befamlet\" til en s\u00e6tning, kunne det p\u00e5virke vedkommendes chancer for at f\u00e5 jobbet.<\/p>\n

    Forskerne sagde, at OpenAI<\/span> b\u00f8r g\u00f8re folk opm\u00e6rksomme p\u00e5, at Whisper hallucinerer, og at den b\u00f8r finde ud af, hvorfor den genererer problematiske transskriptioner.<\/p>\n

    De foresl\u00e5r ogs\u00e5, at nyere versioner af Whisper skal designes til bedre at kunne rumme underservicerede grupper, som f.eks. mennesker med afasi og andre talevanskeligheder.<\/p>","protected":false},"excerpt":{"rendered":"

    Tale-til-tekst transskribenter er blevet uvurderlige, men en ny unders\u00f8gelse viser, at n\u00e5r AI'en tager fejl, er den hallucinerede tekst ofte skadelig. AI-transkriptionsv\u00e6rkt\u00f8jer er blevet ekstremt n\u00f8jagtige og har \u00e6ndret den m\u00e5de, l\u00e6ger f\u00f8rer patientjournaler p\u00e5, eller hvordan vi tager referater af m\u00f8der. Vi ved, at de ikke er perfekte, s\u00e5 vi bliver ikke overraskede, n\u00e5r transskriptionen ikke er helt korrekt. En ny unders\u00f8gelse viser, at n\u00e5r mere avancerede AI-transkribenter som OpenAI's Whisper beg\u00e5r fejl, producerer de ikke bare forvr\u00e6nget eller tilf\u00e6ldig tekst. De hallucinerer hele s\u00e6tninger, og de er ofte foruroligende. Vi ved, at alle AI-modeller hallucinerer. N\u00e5r<\/p>","protected":false},"author":6,"featured_media":12048,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[163,107],"class_list":["post-12043","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-ai-risks","tag-generative-ai"],"yoast_head":"\nAI transcription tools generate harmful hallucinations | 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\/05\/ai-transcription-tools-generate-harmful-hallucinations\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI transcription tools generate harmful hallucinations | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Speech-to-text transcribers have become invaluable but a new study shows that when the AI gets it wrong the hallucinated text is often harmful. 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