Direct Causation in International Humanitarian Law and the Challenge of AI-Mediated Civilian Cyber Operations
International humanitarian law protects civilians from direct attack unless and for such time as they take direct part in hostilities, with the ICRC's 2009 Interpretive Guidance operationalising this rule through a three-criterion cumulative test. This paper argues that AI-mediated civilian cyber operations challenge the direct causation element of this test in a structurally specific way: when a civilian deploys an autonomous multi-agent cyber system of the kind recently demonstrated in offensive AI research, the "one causal step" standard fails because harm is produced by system-generated de
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- LinkedLinked via unknownSecuring the future of AI agents →
- LinkedLinked via unknownChina Has Matched Anthropic in Cybersecurity, Resetting AI Race →
- LinkedLinked via unknownInvesting in multi-agent AI safety research →
- PossiblePossibly related (embedding) · 47%Chain-of-Thought Spoofing Targets Reasoning AI Models - Hackaday →
- PossiblePossibly related (embedding) · 47%New Research: AI models can give dangerous responses despite output guardrails - The AI Journal →
- PossiblePossibly related (embedding) · 51%Saudi Arabia Pushes Global Response to AI Terrorism Threat - The Media Line →
- PossiblePossibly related (embedding) · 51%UN stakes claim in AI governance with Geneva conference - Geneva Solutions →
