But an LLM properly trained on sufficient patient data metrics and outcomes in the hands of a decent doctor can cut through bias
- The belief AI is unbiased is a common myth. In fact, it can easily covertly import existing biases, like systemic racism in treatment recommendations.
- Even AI engineers who developed the training process could not tell you where the bias in an existing model would be.
- AI has been shown to make doctors worse at their jobs. The doctors who need to provide training data.
- Even if 1, 2, and 3 were all false, we all know AI would be used to replace doctors and not supplement them.
1/2: You still haven't accounted for bias.
First and foremost: if you think you've solved the bias problem, please demonstrate it. This is your golden opportunity to shine where multi-billion dollar tech companies have failed.
And no, "don't use Reddit" isn't sufficient.
3 You seem to be very selectively knowledgeable about AI, for example:
We know AI tricks people into thinking they're more efficient when they're less efficient. It erodes critical thinking skills.
And that's without touching on AI psychosis.
You can't dismiss the results you don't like, just because you don't like them.
4 We both know the medical field is for profit. It's a wild leap to assume AI will magically not be, even if it fulfills all the other things you assumed up until this point, and ignore every issue I've raised.