I think the point is that we are currently using opaque, poorly trained and erratic ML (Meat Learning) algorithms. Oh sure the meatbox says that it's allocating N years for this, M years for that, but empirical studies have proven that this readout is nonsense.

Which kind of ML is easier to train to be non-racist? I don't know, but it's not obvious to me that meat is the winner here.