I guess I'm not sure what the point of the dichotomy is. Suppose you're developing a system to identify how fast a vehicle is moving, and you discover that it s

I guess I'm not sure what the point of the dichotomy is. Suppose you're developing a system to identify how fast a vehicle is moving, and you discover that it systematically overestimates the velocity of anything painted red. Regardless of whether you call that problem "AI bias" or "societal bias" or some other phrase that doesn't include the word "bias", isn't it something you want to fix?