风险评测 · 研究方法
Monitoring Monitorability
NUWA 研究解读 · 独立复核待完成
NUWA Research Note
研究问题研究设计与假设来源发现NUWA 解读局限与相反证据研究与决策意义机构与角色原始资源模型辅助整理 · 选读原始全文或官方文章中的相关章节;尚未完成逐章节审计。
研究速读
NUWA 解读:可监测性是双方测量,依赖评测类型和可见范围。
研究问题
如何跨行为类型测量可监测性?
研究设计与假设
论文定义干预、过程、结果属性三类评测,多种监测范围及数据集级g-mean²指标。
来源发现
受测现实式设置中思维链监测优于仅行动。
更长推理通常更可监测,所测前沿规模RL未明显降低可监测性。
NUWA 解读
NUWA 解读:可监测性是双方测量,依赖评测类型和可见范围。
局限与相反证据
干预效应非正或很小时估计可不定义或不稳定;当前规模不能保证未来保持。
研究与决策意义
模型建议:综合分旁引用类型、范围、纳入标准及不确定性。
精确来源位置
- Monitoring Monitorability · AbstractSelected original resource https://arxiv.org/html/2512.18311; sha256:3c73b648d18ee87eca3d3b306dedc3746665058c627189715b0662e4985d31bd; archived source capture; exact capture time not independently established
- Monitoring Monitorability · §2 Evaluating MonitorabilitySelected original resource https://arxiv.org/html/2512.18311; sha256:3c73b648d18ee87eca3d3b306dedc3746665058c627189715b0662e4985d31bd; archived source capture; exact capture time not independently established
- Monitoring Monitorability · §3.1.3 Evaluation Design GuidanceSelected original resource https://arxiv.org/html/2512.18311; sha256:3c73b648d18ee87eca3d3b306dedc3746665058c627189715b0662e4985d31bd; archived source capture; exact capture time not independently established
- Monitoring Monitorability · §9 Discussion and ConclusionSelected original resource https://arxiv.org/html/2512.18311; sha256:3c73b648d18ee87eca3d3b306dedc3746665058c627189715b0662e4985d31bd; archived source capture; exact capture time not independently established
来源核查、数据提取、编辑批准与实验复现分别记录。 方法说明 →
机构与角色
作者 (12)
Melody Y. Guan · Miles Wang · Micah Carroll · Zehao Dou · Annie Y. Wei · Marcus Williams · Benjamin Arnav · Joost Huizinga · Ian Kivlichan · Mia Glaese · Jakub Pachocki · Bowen Baker
关联研究
Beyond g-mean²: complementary metrics for monitorability
针对互补决策目标,进一步讨论原有可监测性指标。
引用与复用
引用研究发现时请引用原始出版物;引用 NUWA 的整理与解释时,单独引用本站记录及对应快照。
原始出版物 · BibTeX
@misc{monitoring-monitorability,
title = {Monitoring Monitorability},
url = {https://arxiv.org/abs/2512.18311},
author = {Melody Y. Guan and Miles Wang and Micah Carroll and Zehao Dou and Annie Y. Wei and Marcus Williams and Benjamin Arnav and Joost Huizinga and Ian Kivlichan and Mia Glaese and Jakub Pachocki and Bowen Baker},
year = {2025},
date = {2025-12-20},
version = {arXiv:2512.18311v1},
note = {arXiv:2512.18311v1}
}
NUWA 记录 · BibTeX
@misc{monitoring-monitorability-nuwa,
title = {Monitoring Monitorability — NUWA research record},
url = {https://whitzard.tech/nuwa/whitzard-index/work/monitoring-monitorability/},
version = {2026-10-29.1},
organization = {NUWA Frontier AI Safety Lab},
howpublished = {Retained note edition: https://whitzard.tech/nuwa/whitzard-index/data/record-editions/2026-10-29.1--monitoring-monitorability.json},
note = {NUWA research note. Source-reading scope and independent review status are stated on the record. Snapshot 2026-10-29.1. Retained note edition: https://whitzard.tech/nuwa/whitzard-index/data/record-editions/2026-10-29.1--monitoring-monitorability.json.}
}
证据快照 2026-10-29.1 · 索引更新 · RSS
参考文献
- [1] Miles Wang, Micah Carroll 等. Monitoring Monitorability. 2025-12-20. v1 [arXiv]; Paper author block and correspondence at openai.com; Abstract; §2 Evaluating Monitorability
- [2] Melody Guan, Yuxiang Xie 等. Beyond g-mean²: complementary metrics for monitorability. 2026-10-20 ; Research background and discussion in the original publication