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English(EN) A Technical Typology of AI Systems in Public Administration

研究发现:公共行政领域的人工智能系统需要更高的技术精确度

一篇新论文提出了一个用于公共行政领域人工智能系统的技术类型学,以提高研究的精确度。该论文引入了五个类别:手工编码系统、透明盒系统、黑箱系统、通用系统和自主系统,并分析了它们对公共价值的影响。对91篇被高度引用的论文的评估显示,在描述和研究人工智能系统方面存在显著的不精确性。 AI

影响 这项研究旨在提高公共行政领域人工智能研究的清晰度和准确性,从而可能带来更好的政策和实施。

排序理由 该集群包含一篇详细介绍人工智能系统新类型学的学术论文。

在 arXiv cs.AI 阅读 →

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研究发现:公共行政领域的人工智能系统需要更高的技术精确度

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Research
该集群包含一篇详细介绍人工智能系统新类型学的学术论文。
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2 independent sources
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Topics
paper, policy
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
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68 days old
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Jonathan Rystr{\o}m, Chris Schmitz, Nathan Davies, Gerhard Hammerschmid, Albert Meijer, Chris Russell ·

    公共行政领域人工智能系统的技术类型学

    arXiv:2606.31755v1 Announce Type: cross Abstract: Research on artificial intelligence (AI) in the public sector often treats "AI" as a single category, neglecting technical distinctions between different AI systems. But these distinctions affect how different systems impact core …

  2. arXiv cs.AI TIER_1 English(EN) · Chris Russell ·

    公共行政领域人工智能系统的技术类型学

    Research on artificial intelligence (AI) in the public sector often treats "AI" as a single category, neglecting technical distinctions between different AI systems. But these distinctions affect how different systems impact core public values like accountability, procedural just…