Safety · Concept
Five-Layer Hidden Safety Integrity Framework
Diagnoses quiet socio-technical AI failures via epistemic, control, temporal, organizational, and related integrity layers.
Forecast horizon
Shifts safety focus from spectacular harms to visibility, contestability, and recoverability of errors.
Connections
Connections · 2
How this node ties into the rest of the map, and the evidence behind each link.
to · supports 3/10
Auditable Trustworthiness Levels for AI Lifecycle Governance Hidden socio-technical integrity layers motivate lifecycle trustworthiness monitoring beyond visible harms.
+3 growth to · frames 3/10
Systems-Safety Methods for Agentic AI Loss-of-Control Risk Five-layer integrity framing extends systems-safety thinking to quiet, distributed socio-technical AI failures.
+3 growthSignal sources
Signal sources
Dated facts from primary sources in this direction.
US evaluation centre Jun 2025
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 → Frontier safeguards May 2025
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 → Cross-border testing 2025
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 →