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English(EN) Doing # AI absolutely wrong, case study number 1.3 zillion: "Of the 45 citations in the report, only five accurately point to real sources. Another 28 citations

KPMG 报告因广泛的引用错误而受到批评

KPMG 的一份报告因其糟糕的引用实践而受到批评,其中大量引用不准确、归属错误或过于模糊而无法核实。在 45 处引用中,只有 5 处正确识别了真实来源,而 28 处则为合法来源提供了虚假细节。其余 12 处过于不精确,无法确认其存在,并且约有一半由这些引用支持的说法被发现是虚假的或归属错误的。 AI

影响 强调了在 AI 生成或 AI 辅助报告中严格的事实核查和引用完整性的关键需求。

排序理由 该项目是对报告质量的评论,而不是主要来源发布或重大的行业事件。

在 Mastodon — fosstodon.org 阅读 →

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  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Doing # AI absolutely wrong, case study number 1.3 zillion: "Of the 45 citations in the report, only five accurately point to real sources. Another 28 citations

    Doing # AI absolutely wrong, case study number 1.3 zillion: "Of the 45 citations in the report, only five accurately point to real sources. Another 28 citations provide paraphrased titles and/or fake components for a real source. The final 12 are too vague or flawed to accurately…