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    Kee Hinckley (nazgul@infosec.exchange)'s status on Tuesday, 15-Apr-2025 08:43:46 JSTKee HinckleyKee Hinckley

    ❝ For example, researchers from four universities analyzed short snippets of audio transcribed by Whisper, and found completely fabricated sentences, with some transcripts inventing the races of the people being spoken about, and others even attributing murder to them. In one case a recording that said, “He, the boy, was going to, I’m not sure exactly, take the umbrella” was transcribed with additions including: “He took a big piece of a cross, a teeny, small piece.... I’m sure he didn’t have a terror knife so he killed a number of people.” In another example, “two other girls and one lady” was transcribed as “two other girls and one lady, um, which were Black.” ❞ https://dair-community.social/@timnitGebru/114338469117858107

    In conversationabout a month ago from infosec.exchangepermalink

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      Timnit Gebru (she/her) (@timnitGebru@dair-community.social)
      from Timnit Gebru (she/her)
      In this Op-ed for Scientific American, Asmelash Teka & I discuss one of the many reasons the idea of replacing US federal workers with so-called generative AI systems should terrify us. We dive into the well defined task of automatic speech recognition (ASR), and describe why OpenAI’s Whisper, which has been integrated into ChatGPT, makes stuff up, or “hallucinates” as it’s called in the industry (bad nomenclature). https://www.scientificamerican.com/article/replacing-federal-workers-with-chatbots-would-be-a-dystopian-nightmare/
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