I remember I took an introduction class in machine learning when I was a student.

I was surprised how important bias removal was. Preparing the dataset was more than half of the work. And the class was more about statistics than anything else.

It wasn't about racial bias, ethics, or anything like that. More like if you feed too many "5" in your handwriting recognition algorithm, it will will start seeing 5 everywhere.