{"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\/pt\/2024\/05\/ai-transcription-tools-generate-harmful-hallucinations\/","title":{"rendered":"As ferramentas de transcri\u00e7\u00e3o da IA geram alucina\u00e7\u00f5es nocivas"},"content":{"rendered":"

Os transcritores de fala para texto tornaram-se inestim\u00e1veis, mas um novo estudo mostra que, quando a IA se engana, o texto alucinado \u00e9 muitas vezes prejudicial.<\/strong><\/p>\n

As ferramentas de transcri\u00e7\u00e3o com IA tornaram-se extremamente precisas e transformaram a forma como os m\u00e9dicos guardam os registos dos doentes ou como redigimos as actas das reuni\u00f5es. Sabemos que n\u00e3o s\u00e3o perfeitas e, por isso, n\u00e3o nos surpreendemos quando a transcri\u00e7\u00e3o n\u00e3o est\u00e1 correcta.<\/p>\n

Um novo estudo<\/a> descobriu que quando os transcritores de IA mais avan\u00e7ados, como OpenAI<\/span>Quando o Whisper comete erros, n\u00e3o se limita a produzir um texto distorcido ou aleat\u00f3rio. Alucinam frases inteiras, o que \u00e9 muitas vezes perturbador.<\/p>\n

Sabemos que todos os modelos de IA t\u00eam alucina\u00e7\u00f5es. Quando ChatGPT<\/span> n\u00e3o sabe a resposta a uma pergunta, muitas vezes inventa algo em vez de dizer \"n\u00e3o sei\".<\/p>\n

Os investigadores da Universidade de Cornell, da Universidade de Washington, da Universidade de Nova Iorque e da Universidade da Virg\u00ednia descobriram que, apesar de a API Whisper ser melhor do que outras ferramentas, continuava a alucinar pouco mais de 1% do tempo.<\/p>\n

A descoberta mais significativa \u00e9 que, quando analisaram o texto alucinado, descobriram que \"38% das alucina\u00e7\u00f5es incluem danos expl\u00edcitos, como perpetuar a viol\u00eancia, inventar associa\u00e7\u00f5es inexactas ou insinuar falsa autoridade\".<\/p>\n

Parece que o Sussurro n\u00e3o gosta de sil\u00eancios inc\u00f3modos, por isso, quando havia pausas mais longas no discurso, tinha tend\u00eancia para alucinar mais para preencher os espa\u00e7os vazios.<\/p>\n

Isto torna-se um problema grave quando se transcreve o discurso falado por pessoas com afasia, uma perturba\u00e7\u00e3o da fala que faz com que a pessoa tenha frequentemente dificuldade em encontrar as palavras certas.<\/p>\n

Sussurro descuidado<\/h2>\n

O documento regista os resultados de experi\u00eancias com vers\u00f5es do Whisper do in\u00edcio de 2023. OpenAI<\/span> melhorou entretanto a ferramenta, mas a tend\u00eancia de Whisper para passar para o lado negro quando tem alucina\u00e7\u00f5es \u00e9 interessante.<\/p>\n

Os investigadores classificaram as alucina\u00e7\u00f5es nocivas da seguinte forma:<\/p>\n

    \n
  • Perpetua\u00e7\u00e3o da viol\u00eancia:<\/strong> Alucina\u00e7\u00f5es que retratam viol\u00eancia, fazem insinua\u00e7\u00f5es sexuais ou envolvem estere\u00f3tipos demogr\u00e1ficos.<\/li>\n
  • Associa\u00e7\u00f5es inexactas:<\/strong> alucina\u00e7\u00f5es que introduzem informa\u00e7\u00f5es falsas, como nomes incorrectos, rela\u00e7\u00f5es fict\u00edcias ou estados de sa\u00fade errados.<\/li>\n
  • Falsa autoridade:<\/strong> Estas alucina\u00e7\u00f5es inclu\u00edam textos que se faziam passar por figuras de autoridade ou meios de comunica\u00e7\u00e3o social, como YouTubers ou apresentadores de not\u00edcias, e envolviam frequentemente directivas que podiam conduzir a ataques de phishing ou outras formas de engano.<\/li>\n<\/ul>\n

    Aqui est\u00e3o alguns exemplos de transcri\u00e7\u00f5es em que as palavras a negrito s\u00e3o adi\u00e7\u00f5es alucinadas de Whisper.<\/p>\n

    \"\"
    As adi\u00e7\u00f5es alucinadas do Whisper \u00e0 transcri\u00e7\u00e3o s\u00e3o mostradas a negrito. Fonte: arXiv<\/figcaption><\/figure>\n
    \"\"
    As adi\u00e7\u00f5es alucinadas do Whisper \u00e0 transcri\u00e7\u00e3o s\u00e3o mostradas a negrito. Fonte: arXiv<\/figcaption><\/figure>\n

    Pode imaginar-se o qu\u00e3o perigosos podem ser estes tipos de erros se as transcri\u00e7\u00f5es forem consideradas exactas ao documentar um depoimento de uma testemunha, uma chamada telef\u00f3nica ou os registos m\u00e9dicos de um doente.<\/p>\n

    Porque \u00e9 que a Whisper pegou numa frase sobre um bombeiro a salvar um gato e acrescentou um \"carrinho de beb\u00e9 encharcado de sangue\" \u00e0 cena, ou acrescentou uma \"faca do terror\" a uma frase que descrevia algu\u00e9m a abrir um guarda-chuva?<\/p>\n

    OpenAI<\/span> parece ter resolvido o problema, mas n\u00e3o deu uma explica\u00e7\u00e3o para o facto de o Whisper se ter comportado da forma que se comportou. Quando os investigadores testaram as vers\u00f5es mais recentes do Whisper, obtiveram muito menos alucina\u00e7\u00f5es problem\u00e1ticas.<\/p>\n

    As implica\u00e7\u00f5es de alucina\u00e7\u00f5es, mesmo que ligeiras ou muito poucas, nas transcri\u00e7\u00f5es podem ser graves.<\/p>\n

    O documento descreve um cen\u00e1rio real em que uma ferramenta como o Whisper \u00e9 utilizada para transcrever entrevistas em v\u00eddeo de candidatos a emprego. As transcri\u00e7\u00f5es s\u00e3o introduzidas num sistema de contrata\u00e7\u00e3o que utiliza um modelo lingu\u00edstico para analisar a transcri\u00e7\u00e3o e encontrar o candidato mais adequado.<\/p>\n

    Se um entrevistado fizesse uma pausa demasiado longa e a Whisper acrescentasse \"faca do terror\", \"carrinho de beb\u00e9 ensopado em sangue\" ou \"acariciado\" a uma frase, isso poderia afetar as suas probabilidades de conseguir o emprego.<\/p>\n

    Os investigadores afirmaram que OpenAI<\/span> deve alertar as pessoas para o facto de o Whisper ter alucina\u00e7\u00f5es e para a necessidade de descobrir por que raz\u00e3o gera transcri\u00e7\u00f5es problem\u00e1ticas.<\/p>\n

    Sugerem tamb\u00e9m que as vers\u00f5es mais recentes do Whisper devem ser concebidas de modo a acomodar melhor as comunidades mal servidas, como as pessoas com afasia e outros problemas de fala.<\/p>","protected":false},"excerpt":{"rendered":"

    Os transcritores de fala para texto tornaram-se inestim\u00e1veis, mas um novo estudo mostra que, quando a IA se engana, o texto alucinado \u00e9 muitas vezes prejudicial. As ferramentas de transcri\u00e7\u00e3o com IA tornaram-se extremamente precisas e transformaram a forma como os m\u00e9dicos mant\u00eam os registos dos doentes ou como redigimos as actas das reuni\u00f5es. Sabemos que n\u00e3o s\u00e3o perfeitas e, por isso, n\u00e3o nos surpreendemos quando a transcri\u00e7\u00e3o n\u00e3o est\u00e1 correcta. Um novo estudo revelou que, quando os transcritores de IA mais avan\u00e7ados, como o Whisper da OpenAI, cometem erros, n\u00e3o se limitam a produzir texto distorcido ou aleat\u00f3rio. Alucinam com frases inteiras, o que \u00e9 muitas vezes perturbador. Sabemos que todos os modelos de IA t\u00eam alucina\u00e7\u00f5es. Quando<\/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\/pt\/2024\/05\/ai-transcription-tools-generate-harmful-hallucinations\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\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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