I'm not saying that intelligence and bias are orthogonal. That discussion requires a much deeper consideration of human cognition and psychology :)

I'm just saying that model bias is a very easy thing to explain (usually, data imbalance).

You can also fiddle with the label ratios to change the bias - which is also a good way of showing that the models aren't really intelligent.