New Orleans Will Use AI to Help Triage 911 Calls

New Orleans will soon use artificial intelligence to help answer and sort 911 calls, as emergency services look for ways to reduce pressure on human operators.

The Orleans Parish Communication District plans to introduce an AI-powered emergency call triage system from Carbyne. The technology will assess incoming calls, provide updates on known incidents and direct new emergencies to a human operator.

The city receives around 1,000 emergency calls each day. Officials hope AI 911 calls technology will help trained staff reach urgent cases more quickly.

AI will support emergency operators

City officials designed the system to support dispatchers, not replace them.

The AI agent will identify whether a caller reports a new incident or asks about one that responders already know about. If responders already know about the issue, the platform can reassure the caller and provide an update.

For example, someone calling about a vehicle crash may receive confirmation that emergency services are handling the incident.

However, if someone reports a new emergency, the system will immediately send the call to a human 911 operator. Human staff will assess the situation and coordinate the response.

Carbyne says its platform can prioritise urgent calls, provide information to people waiting in a queue and reassure callers that help is on the way.

New Orleans already uses AI for 311 calls

New Orleans already uses AI for its non-emergency 311 line.

The city trained its existing AI system on three years of 311 call data. Developers designed it to communicate in a polite, professional manner. Carbyne also supports the 311 service.

The process follows a similar pattern. The AI checks whether the caller wants information about an existing incident. It can provide an update when emergency services know about the issue, while unfamiliar or complex cases go to a human worker.

Using the same approach for 911 calls marks a more sensitive step. Emergency call centres must act quickly and accurately when callers may feel frightened, distressed or unable to clearly explain what is happening.

Faster triage could create new risks

Supporters say AI can reduce waiting times and help emergency services allocate staff and resources more effectively. The system could filter routine follow-up calls, allowing operators to focus more closely on urgent reports.

That could prove especially useful during periods of high call volumes.

However, researchers and critics warn that AI may struggle with distress, unclear language and complex context. A caller may panic, speak indirectly or describe an unfamiliar situation that falls outside the system’s training data.

Bias also remains a concern. An AI system could interpret calls differently because of a caller’s language, accent, background or other factors. That outcome could create serious risks for underrepresented communities.

New Orleans’ rollout will test whether AI can improve emergency call handling while human judgment stays at the centre of every emergency response.