Context: I’m a second year medical student and currently residing in the deepest pit in the valley of the Dunning-Kruger graph, but am still constantly frustrated and infuriated with the push for introducing AI for quasi-self-diagnosis and loosening restrictions on inadequately educated providers like NP’s from the for-profit “schools”.
So, anyone else in a similar spot where you think you’re kinda dumb, but you know you’re still smarter than robots and people at the peak of the Dunning-Kruger graph in your field?
An expert system can’t learn or increase the complexity of its decision making in real time. A human can. The fact that healthcare is a science doesn’t mean the science has already discovered every fact in existence. In fact, that’s the opposite of what science means. Automated systems will always fail to account for nuance while they are driven by profit seeking and cost cutting.
For example, I’m nonbinary and intersex. Patient intake forms often ask if I’m male or female. I check neither box, as I’m neither. If I tell a human nurse or receptionist this, they’ll usually understand. They might even draw in a third box.
An expert system screening for different types of cancer might only look for breast cancer if the patient is female, and only look for prostate cancer if the patient is male. But I have the possibility of developing either. A human doctor can understand this and adapt to the situation easily. But an expert system will only check both possibilities if its designers were intersex-accepting.