arXiv cs.CY· Mansi Ganga Nayak, Samarjeet Malik, Shaurya Pratap Singh, Vaibhav Sharma, Hritika Adhikary·· 12 小时前AI 评分31
自主网络武器作为 AI 数字危害：一个平台问责框架
Autonomous Cyber Weapons as AI-Enabled Digital Harms: A Platform Accountability Framework
AI 导读
针对国家行为体对民用基础设施部署的自主网络武器（ACWs）这一治理空白，研究提出数字危害分类法（6 种 ACW 模式 × 5 类危害）、含闭式 IHL 阈值与权重敏感性证明的 Meaningful Human Control（MHC）模型，以及基于 ARSIWA 国家责任原则的平台问责架构。
正文 · 原文
Abstract:Governments govern AI-generated online harms from commercial platforms (EU DSA, AI Act, UK Online Safety Act), yet the most severe class remains ungoverned: autonomous cyber weapons (ACWs) deployed by nation-states against civilian infrastructure. We address this gap with three contributions: a digital-harm taxonomy (six ACW modes $\times$ five harm categories); the Meaningful Human Control (MHC) Model, a governance-compliance function with a closed-form IHL threshold and a proved weight-sensitivity bound; and a platform accountability architecture with treaty language grounded in ARSIWA state-responsibility doctrine, not Rome Statute individual responsibility. Applied to eleven documented state-attributed operations and one hypothetical defensive AI system, every documented case falls in an accountability vacuum; the threshold is target-dependent, and against wholly civilian targets no system studied clears it, including the hypothetical. Three further incidents are correctly excluded on autonomy/attribution grounds, a discriminant-validity check. The weights and threshold parameters are illustrative, not fitted.
| Comments: | 15 pages, 2 figures. Presented at the 2026 IDeaS Conference (Carnegie Mellon University) |
| Subjects: | Computers and Society (cs.CY); Cryptography and Security (cs.CR) |
| Cite as: | arXiv:2610.32238 [cs.CY] |
| (or arXiv:2610.32238v1 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2610.32238 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Samarjeet Malik [view email]
[v1]
Fri, 23 Oct 2026 06:47:21 UTC (308 KB)
来源：arXiv cs.CY · arxiv.org