r/MachineLearning - [D] Bias and Fairness in the ML community

In the past years we've had a growing discussion about how to reduce social bias and increase fairness, which is good. We wouldn't want our models to be discriminatory because of discriminatory historical data. However what I've noticed is that some have taken this as an opportunity to poisen the well by suggesting active discriminatory practices in seductive language and insidious framing. "Debiasing" AI is not enough. We need to proactively use computational decision making to correct for injustice.