[Asdfbla]

It's a difficult discussion because if you look at the literature regarding algorithmic fairness, there really is no measure of equality that satisfies all notions of fairness. If you force representation of seemingly underrepresented patterns in the data then you implicitly engage in social engineering.

This might be legitimate and reasonable, but you probably should be transparent about the fact that you "unbiased" your data by externally imposing a certain view of what the "fair" data should look like.

Ultimately it's a discussion for social scientists or laywers concerned with discrimination, it's not really in the realm of being fixable by engineering or computer science imho.