Safety · Concept

Five-Layer Hidden Safety Integrity Framework for Deployed AI

Argues consequential failures are quiet socio-technical losses of epistemic, control, temporal, organizational and related integrity—not only visible harms.

Trend strength 4/10

Momentum +4/q

Confidence medium

Status new

Forecast horizon

Safety instrumentation must preserve visibility, contestability, containment, and recoverability in workflows.

Connections

Connections · 1

How this node ties into the rest of the map, and the evidence behind each link.

to · frames 4/10

Systems-Safety Methods for Agentic AI Loss-of-Control Risk

Five-layer integrity view extends systems-safety thinking to quiet, distributed failures in deployed AI.

+4 growth

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 →