Raw LLM Responses

I believe AI would examine every input whereas humans might miss or not consider an input that maybe doesn't seem that important. So an example would be that perhaps a human has to determine who should get the surgery bed next. They may look at someone's medical records that could be hundreds of pages long and buried deep in those records might be a suspected heart condition in childhood that was never treated or diagnosed. There might be other person who has a more serious ailment that require surgery but a very short medical history that doesn't indicate any complicating conditions. A human may miss that heart condition and assume that the first person has the highest chance of survival for surgery and therefore a deprioritize the higher risk person because they have a lower chance of survival. An AI in theory will always pick up on the suspected heart condition which would make that person high risk for surgery and inform the decision maker that actually the first person is a bigger risk while the second person is actually the lower risk. A human can after that use their own judgment to make a determination. Perhaps because the second person doesn't have very much medical history the human will have to make assumptions that the AI can't and determining whether or not that person is a better selection. That assumption can be right or wrong but the AI will help that human make the decision by crunching the information available in giving a recommendation with reasons why that recommendation exists.