Data Bias - How to Separate Out the Data Model

The ways in which i would suggests it will tend to be pretty modest. Because we can first just take what the low hanging fruit is for a regulation and separate out what we can do from what we can theoretically do. Can start with such things as separating out the data where there's biases that those two can be treated then differently. Sot where i think we can go with regulation and what i think the dangers. There's lot more to say here, but for us to have the the the a i fulfil on its vision of a utopia. And maybe the degree to which it fulfils this utopia or or goes to a hollywood narrative or distopia, it is the degree