While I sympathize with this view: "You can’t just reduce harms caused by ML to dataset bias" (there's clearly other stuff like operator bias), I think there's

While I sympathize with this view: "You can’t just reduce harms caused by ML to dataset bias" (there's clearly other stuff like operator bias), I think there's a problem that if you don't focus first on dataset bias, you'll never reduce the harms caused by ML.