{"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\/sv\/2024\/05\/ai-transcription-tools-generate-harmful-hallucinations\/","title":{"rendered":"AI-transkriberingsverktyg genererar skadliga hallucinationer"},"content":{"rendered":"

Tal-till-text-transkriberare har blivit ov\u00e4rderliga, men en ny studie visar att n\u00e4r AI:n g\u00f6r fel \u00e4r den hallucinerade texten ofta skadlig.<\/strong><\/p>\n

AI-transkriptionsverktyg har blivit extremt exakta och har f\u00f6r\u00e4ndrat s\u00e4ttet som l\u00e4kare f\u00f6r patientjournaler p\u00e5 eller hur vi f\u00f6r protokoll fr\u00e5n m\u00f6ten. Vi vet att de inte \u00e4r perfekta, s\u00e5 vi blir inte f\u00f6rv\u00e5nade n\u00e4r transkriberingen inte \u00e4r helt r\u00e4tt.<\/p>\n

En ny studie<\/a> fann att n\u00e4r mer avancerade AI-transkriberare som OpenAI<\/span>'s Whisper g\u00f6r misstag producerar de inte bara f\u00f6rvr\u00e4ngd eller slumpm\u00e4ssig text. De hallucinerar hela fraser, och de \u00e4r ofta pl\u00e5gsamma.<\/p>\n

Vi vet att alla AI-modeller hallucinerar. N\u00e4r ChatGPT<\/span> inte vet svaret p\u00e5 en fr\u00e5ga, hittar den ofta p\u00e5 n\u00e5got ist\u00e4llet f\u00f6r att s\u00e4ga \"jag vet inte\".<\/p>\n

Forskare fr\u00e5n Cornell University, University of Washington, New York University och University of Virginia fann att \u00e4ven om Whisper API var b\u00e4ttre \u00e4n andra verktyg, hallucinerade det fortfarande drygt 1% av tiden.<\/p>\n

Det mer betydelsefulla resultatet \u00e4r att n\u00e4r de analyserade den hallucinerade texten fann de att \"38% av hallucinationerna inneh\u00e5ller uttryckliga skador som att ut\u00f6va v\u00e5ld, hitta p\u00e5 felaktiga associationer eller antyda falsk auktoritet.\"<\/p>\n

Det verkar som om Whisper inte gillar pinsamma tystnader, s\u00e5 n\u00e4r det var l\u00e4ngre pauser i talet tenderade den att hallucinera mer f\u00f6r att fylla ut luckorna.<\/p>\n

Detta blir ett allvarligt problem n\u00e4r man ska transkribera tal som talas av personer med afasi, en talst\u00f6rning som ofta inneb\u00e4r att personen har sv\u00e5rt att hitta r\u00e4tt ord.<\/p>\n

Careless Whisper<\/h2>\n

Dokumentet redovisar resultaten fr\u00e5n experiment med tidiga 2023-versioner av Whisper. OpenAI<\/span> har sedan dess f\u00f6rb\u00e4ttrat verktyget, men Whispers tendens att g\u00e5 \u00f6ver till den m\u00f6rka sidan n\u00e4r han hallucinerar \u00e4r intressant.<\/p>\n

Forskarna klassificerade de skadliga hallucinationerna enligt f\u00f6ljande:<\/p>\n

    \n
  • Forts\u00e4ttande av v\u00e5ld:<\/strong> Hallucinationer som skildrade v\u00e5ld, inneh\u00f6ll sexuella anspelningar eller demografiska stereotyper.<\/li>\n
  • Felaktiga associationer:<\/strong> hallucinationer som inneh\u00e5ller falsk information, t.ex. felaktiga namn, fiktiva relationer eller felaktiga h\u00e4lsostatusar.<\/li>\n
  • Falsk auktoritet:<\/strong> Dessa hallucinationer inneh\u00f6ll text som utgav sig f\u00f6r att vara auktoriteter eller medier, som YouTubers eller nyhetsuppl\u00e4sare, och inneh\u00f6ll ofta direktiv som kunde leda till n\u00e4tfiskeattacker eller andra former av bedr\u00e4gerier.<\/li>\n<\/ul>\n

    H\u00e4r f\u00f6ljer n\u00e5gra exempel p\u00e5 transkriptioner d\u00e4r orden i fetstil \u00e4r Whispers hallucinerade till\u00e4gg.<\/p>\n

    \"\"
    Whispers hallucinerade till\u00e4gg till transkriptionen visas i fetstil. K\u00e4lla: arXiv<\/figcaption><\/figure>\n
    \"\"
    Whispers hallucinerade till\u00e4gg till transkriptionen visas i fetstil. K\u00e4lla: arXiv<\/figcaption><\/figure>\n

    Du kan f\u00f6rest\u00e4lla dig hur farliga den h\u00e4r typen av misstag kan vara om transkriptionerna f\u00f6ruts\u00e4tts vara korrekta n\u00e4r de dokumenterar ett vittnesm\u00e5l, ett telefonsamtal eller en patients medicinska journaler.<\/p>\n

    Varf\u00f6r tog Whisper en mening om en brandman som r\u00e4ddar en katt och lade till en \"blodindr\u00e4nkt barnvagn\" p\u00e5 platsen, eller lade till en \"terrorkniv\" i en mening som beskriver n\u00e5gon som \u00f6ppnar ett paraply?<\/p>\n

    OpenAI<\/span> verkar ha \u00e5tg\u00e4rdat problemet men har inte gett n\u00e5gon f\u00f6rklaring till varf\u00f6r Whisper betedde sig som det gjorde. N\u00e4r forskarna testade de nyare versionerna av Whisper fick de mycket f\u00e4rre problematiska hallucinationer.<\/p>\n

    Konsekvenserna av \u00e4ven sm\u00e5 eller mycket f\u00e5 hallucinationer i transkriptioner kan vara allvarliga.<\/p>\n

    I artikeln beskrivs ett verkligt scenario d\u00e4r ett verktyg som Whisper anv\u00e4nds f\u00f6r att transkribera videointervjuer med arbetss\u00f6kande. Transkriptionerna matas in i ett rekryteringssystem som anv\u00e4nder en spr\u00e5kmodell f\u00f6r att analysera transkriptionen och hitta den mest l\u00e4mpliga kandidaten.<\/p>\n

    Om en intervjuperson pausade lite f\u00f6r l\u00e4nge och Whisper lade till \"terrorkniv\", \"blodindr\u00e4nkt barnvagn\" eller \"tafsade\" i en mening kunde det p\u00e5verka deras chanser att f\u00e5 jobbet.<\/p>\n

    Forskarna sade att OpenAI<\/span> b\u00f6r g\u00f6ra m\u00e4nniskor medvetna om att Whisper hallucinerar och att det b\u00f6r ta reda p\u00e5 varf\u00f6r det genererar problematiska transkriptioner.<\/p>\n

    De f\u00f6resl\u00e5r ocks\u00e5 att nyare versioner av Whisper b\u00f6r utformas f\u00f6r att b\u00e4ttre passa underf\u00f6rs\u00f6rjda grupper, till exempel personer med afasi och andra talhandikapp.<\/p>","protected":false},"excerpt":{"rendered":"

    Tal-till-text-transkriberare har blivit ov\u00e4rderliga, men en ny studie visar att n\u00e4r AI:n g\u00f6r fel \u00e4r den hallucinerade texten ofta skadlig. AI-transkriptionsverktyg har blivit extremt exakta och har f\u00f6r\u00e4ndrat hur l\u00e4kare f\u00f6r patientjournaler eller hur vi f\u00f6r protokoll fr\u00e5n m\u00f6ten. Vi vet att de inte \u00e4r perfekta, s\u00e5 vi blir inte f\u00f6rv\u00e5nade n\u00e4r transkriberingen inte \u00e4r helt r\u00e4tt. En ny studie visade att n\u00e4r mer avancerade AI-transkriberare som OpenAI:s Whisper g\u00f6r misstag producerar de inte bara f\u00f6rvr\u00e4ngd eller slumpm\u00e4ssig text. De hallucinerar hela fraser, och de \u00e4r ofta oroande. Vi vet att alla AI-modeller hallucinerar. N\u00e4r<\/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\/sv\/2024\/05\/ai-transcription-tools-generate-harmful-hallucinations\/\" \/>\n<meta property=\"og:locale\" content=\"sv_SE\" \/>\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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