研究人员开发了一种使用可信执行环境（TEE）的新架构，可以在不泄露底层模型或评分标准的情况下，使AI辅助的拨款评估过程可审计。该系统允许外部验证者确认所使用的具体模型、评分标准和提示模板，同时通过规范化和清理申请人文档来防范提示注入风险。所提出的方法创建了评估过程的可验证记录，增强了考虑使用LLM进行决策支持的公共机构的问责制。 AI
影响 增强了AI驱动的公共部门决策的透明度和问责制。
排序理由 学术论文，提出了一种用于可审计AI评估的新颖架构。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2604.25200v1 Announce Type: cross Abstract: Public agencies are beginning to consider large language models (LLMs) as decision-support tools for grant evaluation. This creates a practical governance problem: the model and scoring rubric should not be exposed in a way that a…
Public agencies are beginning to consider large language models (LLMs) as decision-support tools for grant evaluation. This creates a practical governance problem: the model and scoring rubric should not be exposed in a way that allows applicants to optimize against them, yet the…