It is practically impossible to conduct a long term health study on something like an artificial sweetener. The only way I can think of to accurately remove environmental noise is to collect extensive records on a _large_ population, and then line up A / B sets where the only major difference between the sets (other exposures similar) are the sweeteners.
With a lot of samples that fulfill that criteria a historic review might be able to identify statistical anomalies towards outcomes (positive or negative) that are common to the matched A and B sides of the set.
I could see an AI administering such a data collection and comparison in an accurate and ethical way; but only the scifi grade strong / true AI.
With a lot of samples that fulfill that criteria a historic review might be able to identify statistical anomalies towards outcomes (positive or negative) that are common to the matched A and B sides of the set.
I could see an AI administering such a data collection and comparison in an accurate and ethical way; but only the scifi grade strong / true AI.