{"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\/nb\/2024\/05\/ai-transcription-tools-generate-harmful-hallucinations\/","title":{"rendered":"AI-transkripsjonsverkt\u00f8y genererer skadelige hallusinasjoner"},"content":{"rendered":"

Tale-til-tekst-transkribenter har blitt uvurderlige, men en ny studie viser at n\u00e5r den kunstige intelligensen gj\u00f8r feil, er den hallusinerte teksten ofte skadelig.<\/strong><\/p>\n

AI-transkripsjonsverkt\u00f8y har blitt ekstremt n\u00f8yaktige og har forandret m\u00e5ten leger f\u00f8rer pasientjournaler p\u00e5, eller hvordan vi skriver m\u00f8tereferater. Vi vet at de ikke er perfekte, s\u00e5 vi blir ikke overrasket n\u00e5r transkripsjonen ikke er helt riktig.<\/p>\n

En ny studie<\/a> fant at n\u00e5r mer avanserte AI-transkribenter som OpenAI<\/span>'s Whisper gj\u00f8r feil, produserer de ikke bare forvrengt eller tilfeldig tekst. De hallusinerer hele setninger, og de er ofte plagsomme.<\/p>\n

Vi vet at alle AI-modeller hallusinerer. N\u00e5r ChatGPT<\/span> ikke vet svaret p\u00e5 et sp\u00f8rsm\u00e5l, vil den ofte finne p\u00e5 noe i stedet for \u00e5 si \"jeg vet ikke\".<\/p>\n

Forskere fra Cornell University, University of Washington, New York University og University of Virginia fant ut at selv om Whisper API var bedre enn andre verkt\u00f8y, hallusinerte det likevel i litt over 1% av tilfellene.<\/p>\n

Det viktigste funnet er at da de analyserte den hallusinerte teksten, fant de at \"38% av hallusinasjonene inkluderer eksplisitte skader som \u00e5 videref\u00f8re vold, finne p\u00e5 un\u00f8yaktige assosiasjoner eller antyde falsk autoritet.\"<\/p>\n

Det ser ut til at Whisper ikke liker pinlig stillhet, s\u00e5 n\u00e5r det var lengre pauser i talen, hadde den en tendens til \u00e5 hallusinere mer for \u00e5 fylle hullene.<\/p>\n

Dette blir et alvorlig problem n\u00e5r man transkriberer tale fra personer med afasi, en taleforstyrrelse som ofte f\u00f8rer til at personen sliter med \u00e5 finne de riktige ordene.<\/p>\n

Uforsiktig hvisking<\/h2>\n

Artikkelen dokumenterer resultatene fra eksperimenter med tidlige 2023-versjoner av Whisper. OpenAI<\/span> har siden forbedret verkt\u00f8yet, men Whispers tendens til \u00e5 g\u00e5 over til den m\u00f8rke siden n\u00e5r han hallusinerer, er interessant.<\/p>\n

Forskerne klassifiserte de skadelige hallusinasjonene p\u00e5 f\u00f8lgende m\u00e5te:<\/p>\n

    \n
  • Videref\u00f8ring av vold:<\/strong> Hallusinasjoner som skildret vold, kom med seksuelle hentydninger eller involverte demografiske stereotypier.<\/li>\n
  • Un\u00f8yaktige assosiasjoner:<\/strong> hallusinasjoner som introduserte falsk informasjon, for eksempel feil navn, fiktive relasjoner eller feilaktige helsetilstander.<\/li>\n
  • Falsk autoritet:<\/strong> Disse hallusinasjonene inkluderte tekst som utgav seg for \u00e5 v\u00e6re autoritative personer eller medier, som YouTubere eller nyhetsopplesere, og inneholdt ofte direktiver som kunne f\u00f8re til phishing-angrep eller andre former for bedrageri.<\/li>\n<\/ul>\n

    Her er noen eksempler p\u00e5 transkripsjoner der ordene i fet skrift er Whispers hallusinerte tilf\u00f8yelser.<\/p>\n

    \"\"
    Whispers hallusinerte tilf\u00f8yelser til transkripsjonen er vist i fet skrift. Kilde: arXiv<\/figcaption><\/figure>\n
    \"\"
    Whispers hallusinerte tilf\u00f8yelser til transkripsjonen er vist i fet skrift. Kilde: arXiv<\/figcaption><\/figure>\n

    Du kan tenke deg hvor farlig slike feil kan v\u00e6re hvis transkripsjonene antas \u00e5 v\u00e6re n\u00f8yaktige n\u00e5r de dokumenterer en vitneforklaring, en telefonsamtale eller en pasientjournal.<\/p>\n

    Hvorfor tok Whisper en setning om en brannmann som redder en katt, og la til en \"bloddryppende barnevogn\", eller la til en \"terrorkniv\" i en setning som beskriver noen som \u00e5pner en paraply?<\/p>\n

    OpenAI<\/span> ser ut til \u00e5 ha l\u00f8st problemet, men har ikke gitt noen forklaring p\u00e5 hvorfor Whisper oppf\u00f8rte seg slik den gjorde. Da forskerne testet de nyere versjonene av Whisper, fikk de langt f\u00e6rre problematiske hallusinasjoner.<\/p>\n

    Konsekvensene av selv sm\u00e5 eller sv\u00e6rt f\u00e5 hallusinasjoner i transkripsjonene kan v\u00e6re alvorlige.<\/p>\n

    Artikkelen beskriver et virkelig scenario der et verkt\u00f8y som Whisper brukes til \u00e5 transkribere videointervjuer av jobbs\u00f8kere. Transkripsjonene mates inn i et ansettelsessystem som bruker en spr\u00e5kmodell til \u00e5 analysere transkripsjonene for \u00e5 finne den best egnede kandidaten.<\/p>\n

    Hvis et intervjuobjekt tok en litt for lang pause og Whisper la til \"terrorkniv\", \"bloddryppende barnevogn\" eller \"bef\u00f8let\" i en setning, kunne det p\u00e5virke sjansene for \u00e5 f\u00e5 jobben.<\/p>\n

    Forskerne sa at OpenAI<\/span> b\u00f8r gj\u00f8re folk oppmerksomme p\u00e5 at Whisper hallusinerer, og at den b\u00f8r finne ut hvorfor den genererer problematiske transkripsjoner.<\/p>\n

    De foresl\u00e5r ogs\u00e5 at nyere versjoner av Whisper b\u00f8r utformes slik at de er bedre tilpasset underbetjente grupper, for eksempel personer med afasi og andre talevansker.<\/p>","protected":false},"excerpt":{"rendered":"

    Tale-til-tekst-transkribenter har blitt uvurderlige, men en ny studie viser at n\u00e5r AI tar feil, er den hallusinerte teksten ofte skadelig. AI-transkripsjonsverkt\u00f8y har blitt ekstremt n\u00f8yaktige og har forandret m\u00e5ten leger f\u00f8rer pasientjournaler p\u00e5, eller hvordan vi skriver m\u00f8tereferater. Vi vet at de ikke er perfekte, s\u00e5 vi blir ikke overrasket n\u00e5r transkripsjonen ikke er helt riktig. En ny studie viser at n\u00e5r mer avanserte AI-transkribenter som OpenAIs Whisper gj\u00f8r feil, produserer de ikke bare forvrengt eller tilfeldig tekst. De hallusinerer hele setninger, og de er ofte plagsomme. Vi vet at alle AI-modeller hallusinerer. 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\/nb\/2024\/05\/ai-transcription-tools-generate-harmful-hallucinations\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\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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