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English(EN) A Neuro-Symbolic Framework for Accountability in Public-Sector AI

人工智能问责框架将公共部门决策与法律规则挂钩

作者 PulseAugur 编辑部 · [1 个来源] ·

本研究论文介绍了一个新颖的神经符号框架，旨在加强公共部门人工智能系统的问责制。该框架将人工智能生成的决策理由与特定的法律规则联系起来，并以加州食品援助计划 CalFresh 为案例研究。它结合了资格要求的结构化本体、规则提取管道和基于求解器的推理层，以识别和纠正法律上不一致的解释，从而支持程序问责。 AI

影响 增强了公共服务中人工智能决策的透明度和可质疑性，可能为其他政府应用树立先例。

排序理由 关于新颖人工智能问责框架的学术论文。

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 →

人工智能问责框架将公共部门决策与法律规则挂钩

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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Allen Daniel Sunny, Ido Sivan-Sevilla ·

    面向公共部门人工智能问责的神经符号框架

    arXiv:2512.12109v3 Announce Type: replace-cross Abstract: Automated eligibility systems increasingly determine access to essential public benefits, but the explanations they generate often fail to reflect the legal rules that authorize those decisions. This thesis develops a lega…

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