> This requires him to be aware of each pattern/“bias” in the data, which he isn’t, which is the reason we use the algos in the first place. That's not strictl

> This requires him to be aware of each pattern/“bias” in the data, which he isn’t, which is the reason we use the algos in the first place. That's not strictly true. In a lot of cases you start out oblivious to biases in the data, and then when you evaluate the model you notice problems. But your point about obliviousness to bias is exactly what I'm speaking towards. One might be oblivious to bias that aligns with your own biases, but notice bias that conflicts with it.