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I believe I touched on that in my last sentence, but I can elaborate:

That will probably happen – neural networks are approximation algorithms. It’s a question of how often that happens.

What percentage of the calls get misclassified? And what’s the threshold percentage that would be needed for the triage bot to be a net positive?

It sounds like they have an idea of these numbers based on data collected from the non-emergency line, so it’s not like they’re just blindly jumping into this.

EDIT: I just realized that I did not actually answer your question of “what happens”…

I imagine the caller would just interrupt the AI’s answer (e.g. “No not that,” “HELP,” “Give me a human,” “FUCK!” etc.)? That seems like the natural thing to do.

To be clear: I don’t know anyone at Carbyne or OPCD. I can only offer speculation.

I believe I touched on that in my last sentence, but I can elaborate:

That will probably happen – neural networks are approximation algorithms. It’s a question of how often that happens.

What percentage of the calls get misclassified? And what’s the threshold percentage that would be needed for the triage bot to be a net positive?

It sounds like they have an idea of these numbers based on data collected from the non-emergency line, so it’s not like they’re just blindly jumping into this.

That will probably happen – neural networks are approximation algorithms. It’s a question of how often that happens.

What percentage of the calls get misclassified? And what’s the threshold percentage that would be needed for the triage bot to be a net positive?

It sounds like they have an idea of these numbers based on data collected from the non-emergency line, so it’s not like they’re just blindly jumping into this.