What if there is significant disagreement within the medical profession itself? For example, isotretinoin is proscribed for acne in many countries, but in other countries the drug is banned or access restricted due to adverse side effects.
Would not one approach be to just ensure the system has all the data? Relevance to address systems, side effects, and legal constraints. Then when making a recommendations it can account for all factors not just prior use cases.
If you agree that ML starts with philosophy, not statistics, this is but one example highlighting how biomedicine helps model development, LLMs included.
Every fact is born an opinion.
This challenge exists in most, if not all, spheres of life.
Comments
What if there is significant disagreement within the medical profession itself? For example, isotretinoin is proscribed for acne in many countries, but in other countries the drug is banned or access restricted due to adverse side effects.
Would not one approach be to just ensure the system has all the data? Relevance to address systems, side effects, and legal constraints. Then when making a recommendations it can account for all factors not just prior use cases.
If you agree that ML starts with philosophy, not statistics, this is but one example highlighting how biomedicine helps model development, LLMs included.
Every fact is born an opinion.
This challenge exists in most, if not all, spheres of life.