Safety · Concept
GuardianBench: Same-Scene Instruction-Contrastive Embodied Safety Benchmark
Instruction-contrastive embodied safety benchmark where benign scenes become hazardous only under unsafe instructions; VLMs average 24.1% pair accuracy.
Post-training objectives like VLOS may become standard for instruction-binding safety.
Connections
Connections · 5
How this node ties into the rest of the map, and the evidence behind each link.
Latent instruction-scene hazards benchmark the safety needs of embodied and physical AI agents.
+4 growthGuardianBench isolates latent instruction-scene compositional hazards relevant to deployed embodied agent safety.
+3 growthLatent contextual embodied failures underscore need for explicit safety understanding beyond surface approvals.
+3 growthBoth isolate latent embodied hazards where instruction or perception context flips a safe scene into harm.
+3 growthGuardianBench preprint appears on the arXiv AI safety intake for the period.
+3 growthSignal sources
Signal sources
Dated facts from primary sources in this direction.
In June 2025 the US AI Safety Institute was renamed the Center for AI Standards and Innovation (CAISI), pivoting toward security, standards and adversary-model assessment.
NIST →Anthropic activated its ASL-3 deployment and security standard with Claude Opus 4 on 22 May 2025 — the first real-world trigger of a responsible-scaling tier, focused on blocking bio-weapon uplift.
Anthropic →The International Network of AI Safety Institutes (launched Nov 2024) ran a third joint testing exercise focused on agentic AI systems across cyber and fraud strands.
European Commission — AI Office →