Exercise: Critique the model response

The triage method, as used in emergency services, is classified into four categories: green (can wait), yellow (delayed), red (immediate treatment needed), and black (expectant or life threat too high).

In crisis management, a prerequisite for good decision-making is that the decision-maker is not under physical or psychological pressure themselves. For these reasons, AI should make all triage decisions at the scene of an accident instead of trained firefighters.

Information overload at an accident scene, where multiple updates arrive simultaneously, can lead to an individual getting stuck in an analytical role and forgetting the prioritization of actions. This phenomenon is well-known in research on decision-making under pressure.

Studies show that AI correctly diagnoses emergency patients in a hospital ward in 94 percent of cases, which is higher than what is common among human doctors. This means that hospitals should use AI as the primary tool in triage rather than doctors.

A post-incident review, or post-mortem, is a structured process where a team reviews an incident after it occurs with the aim of understanding what happened and learning from mistakes. It is a core element of the safety culture among airlines, hospitals, and fire departments.

Substrate judgment is the ability of a trained expert to read a situation and take appropriate action based on experience and physical perception, not just written procedures. This ability is incomprehensible to AI because machines have no physical experience.