瞭望塔 imperative：面向前沿 AI 的全生命周期校准评估框架（arXiv 论文）
The Watchtower Imperative: Lifespan-Calibrated Evaluation for Frontier AI
AI 导读
一篇 arXiv 论文提出，AI 安全保障不能仅靠内部评估，并基于 2017-2026 年的已记录伤害案例，指出语音助手危害儿童、AI 伴侣涉及青少年自杀、自动拒批老年人护理等事件共同源于以隐含成人用户模型评估系统。论文构建了覆盖六个生命阶段的「寿命脆弱性矩阵」，显示脆弱性在生命周期两端达到峰值，并提出由自动化仿真、专家红队测试和部署后监测组成的三层外部评估框架。
正文 · 原文
Abstract:The gap between AI capability deployment and safety assurance is structural and cannot be closed through internal evaluations alone. Analyzing documented harms (2017-2026) across the human lifespan reveals that disparate incidents --- from voice assistants endangering children to AI companions implicated in adolescent suicide and automated care denials for the elderly --- reflect a single failure: evaluating systems against an implicit adult user model. We introduce five developmental moderators structured into a Lifespan Vulnerability Matrix across six life stages. The matrix reveals a nonmonotonic risk distribution: vulnerability peaks at both ends of the lifespan, governance coverage is asymmetrical, and authority to convert model errors into real-world impact is scrutinized least. We then propose a set of lifespan design principles generalizing existing child-protective instruments, and an institution-agnostic, three-tier external evaluation framework --- comprising automated simulation, expert red teaming, and post-deployment monitoring --- indexed directly to matrix risk cells.
| Subjects: | Computers and Society (cs.CY); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC) |
| Cite as: | arXiv:2610.35725 [cs.CY] |
| (or arXiv:2610.35725v1 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2610.35725 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Jennifer Victoria Scurrell [view email]
[v1]
Mon, 26 Oct 2026 16:44:50 UTC (19 KB)
来源：arXiv cs.AI · arxiv.org