[yummyfajitas]

What I'm disputing is this:

Machine learning does not have less bias than human researchers. It is simply magnified at scale.

This is fundamentally wrong. Given data on the biasing factor, most algorithms will try to use it and improve things. Sometimes information is unavailable. On net there is a reason why many algorithms will reduce bias, and no particular reason why they would increase it equally in the remaining cases.

[dragonwriter]

> Given data on the biasing factor, most algorithms will try to use it and improve things.

Unless the bias is in what they are designed to optimize for (either because the goal is explicitly biased or because the operationalization of the goal into a concrete measure is, whether intentionally or not, biased), in which case they will obviously reinforce it.