Safety · Trend
Multi-Turn Jailbreak Escalation in Medical AI
Multi-turn adversarial attacks escalate unsafe medical chatbot responses from 35% to nearly 80% by Turn 4, with model divergence invisible to single-turn evaluation.
Input-side classifiers offer partial mitigation but high false-alarm rates remain a deployment barrier; multi-turn evaluation will become a standard safety requirement.
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How this node ties into the rest of the map, and the evidence behind each link.
Signal 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 →