You’re driving home during rush hour. A car swerves, metal crunches, glass shatters. Your hands are shaking as you dial 911. But the voice on the other end doesn’t belong to a human dispatcher. It belongs to an algorithm.
In New Orleans, this isn’t a dystopian sci-fi plot. It’s happening right now. The city is testing AI-powered software from a company called Carbyne to triage 911 calls. Specifically, if you call 911 within a 200-meter radius of a live auto accident during rush hour, you are immediately routed to an AI agent.
The city’s justification is pragmatic: during major accidents, hundreds of people call in to report the exact same thing, flooding the lines and preventing real emergencies from getting through. It makes sense on paper. But it hides a much darker reality about how we handle public safety.
When a system is failing, adding an algorithm doesn’t fix the system; it just gives the failure a shiny new interface.
The real driver of these 911 backlogs isn’t a sudden surge in repeat callers. It’s decades of chronic underfunding, understaffing, and neglect of our emergency infrastructure. But fixing that requires political capital, tax dollars, and time. Buying an AI software package is a much more convenient political win. It lets officials point to a screen and say, “Look, we fixed the wait times!” without actually funding the human dispatchers who keep the system alive.
Worse, it fundamentally shifts accountability. When a human dispatcher makes a mistake, there is a paper trail, a supervisor, and a person to hold responsible. When an AI deprioritizes a call because it misinterprets a panicked voice or misses a secondary emergency happening near that initial crash site, who is to blame? The software vendor? The city? The algorithm itself?
Speed without accountability isn’t innovation. It’s just a faster way to ignore people in crisis.
As one observer noted, law enforcement and city agencies are always looking for ways to avoid responsibility for their shortcomings. Now, when something goes wrong, they can just blame the AI. It’s the ultimate bureaucratic shield.
We are trading human judgment for algorithmic efficiency in the highest stakes environment imaginable. A human dispatcher can hear the terror in a voice, sense that something doesn’t fit the pattern, and escalate a call. An AI is designed to categorize, sort, and move on. It operates on patterns, not context.
We are replacing human empathy with algorithmic sorting, and calling it progress.
If you ever find yourself in a life-or-death situation, you don’t want your survival to depend on whether a machine learning model trained on historical data decides your panic fits the “high priority” pattern. You want a human being on the other end of the line. But until we force our leaders to actually fund emergency services, the algorithm is exactly what we’re going to get.
FAQ
Q: Doesn't AI triage actually help by reducing call wait times?
A: It reduces wait times by filtering out noise, but it risks missing the signal. A faster response that ignores human nuance can be deadlier than a delayed one.
Q: How does this affect me if I have to call 911?
A: If you're near a major incident, you might be routed to an AI instead of a human dispatcher. You won't know it, and your call's priority will be decided by code, not context.
Q: Is this really just a cover for bad funding?
A: Yes. AI triage is a politically convenient band-aid. It allows officials to claim they 'fixed' the backlog without actually funding the emergency services they gutted.