When data sci­en­tists talk about bias, we talk about quan­tifi­able bias that is a result of let’s say incom­plete or incor­rect data. And data sci­en­tists love liv­ing in that world—it’s very com­fort­able. Why? Because once it’s quan­ti­fied if you can point out the error you just fix the error. What this does not ask is should you have built the facial recog­ni­tion tech­nol­o­gy in the first place?