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English(EN) Counting Under Disagreement: Dollar-Weighted Measurement, Selective Machine Labelling and Budgeted Human Review from Disagreeing AI Readers of Administrative Text

AI辅助测量研究解决了行政文本分析中的分歧问题

作者 PulseAugur 编辑部 · [1 个来源] ·

一篇新的研究论文探讨了当AI阅读器意见不合时，从行政文本中准确测量货币总额的方法。该研究使用美国税务申报文件，提出了美元加权测量、选择性机器标注和预算人工审查来提高准确性。结果表明，与比例抽样相比，两阶段审查策略可以显著降低总额的均方根误差，尽管部署中的误差控制尚未确立。 AI

影响 在行政背景下引入了提高AI驱动数据分析可靠性的新技术。

排序理由 关于AI辅助测量新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AI辅助测量研究解决了行政文本分析中的分歧问题

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关于AI辅助测量新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · George Koomullil (Ascendr, PBC) ·

    计数在分歧中：行政文本不同意AI阅读器的美元加权测量、选择性机器标注和预算人工审查

    arXiv:2611.13215v1 Announce Type: new Abstract: We study AI-assisted measurement when one text label applies to many administrative records, the target is a monetary total, and the human readings that anchor the machines disagree. The testbed is 121,070 grant-purpose texts from U…

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