[bumby]

Isn't this the one of the major concerns of ML, the bias-variance trade-off? By creating a low-variance model, we create a highly biased model that misses some of the important feature relationships necessary to create a truly generalized model?

Meaning, isn't it prudent to spending time on this issue?

[BickNowstrom]

You are conflating bias (error) with bias (fairness).

[bumby]

Haha my comment was originally drafted to accuse the parent comment of the same. As I read the article, its concerned with error (e.g. misclassification of cancer) but the parent comment translated this to mean the social bias.