this post was submitted on 08 Mar 2025
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A slightly better metric to train it on would be chances of survival/years of life saved thanks to the transplant. However those also suffer from human bias due to the past decisions that influenced who got a transpant and thus what data we were able to gather.
And we do that with basic algorithms informed by research. But then the score gets tied and we have to decide who has the greatest chance of following though on their regimen based on things like past history and means to aquire the medication/go to the appointments/follow a diet/not drink. An AI model will optimize that based on wild demographic data that is correlative without being causative and end up just being a black box racist in a way that a committee that has to clarify it's thinking to other members couldn't, you watch.