> What would an algorithm’s accuracy be when distinguishing between faces of people of the same age, gender, and ethnicity? To answer this question, classificat

> What would an algorithm’s accuracy be when distinguishing between faces of people of the same age, gender, and ethnicity? To answer this question, classification accuracies were recomputed using only face pairs of the same age, gender, and ethnicity Perhaps I am reading this wrong, but this is not controlling for demographics. If, for example, 70% of older white men are conservative, you could reach 70% accuracy by predicting all older white men are conservative. Yes, it's much better than a coin flip, but random 50/50 guessing would be a ver bad strategy. It's really a shame that they did not have humans and their system classify the same out-of-sample data so we could compare apples to apples. Perhaps they will in later research.