> Contrast in the area in question has an effect, as might the presence of text, or any blurriness present. This is the argument made on Twitter as well; that

> Contrast in the area in question has an effect, as might the presence of text, or any blurriness present. This is the argument made on Twitter as well; that its not intentionally trained to prefer white people due to the training data, but instead, the technique used results in a bias. Hypothetically, say, Twitter did multi-variant testing of thumbnails to train the model based on engagement; and this resulted in prefer white faces. That's still a racially biased algorithm. Whether or not your developers specifically set out to create a racially biased algorithm does not change that it is measurably a racially biased algorithm. Twitter's response that there is more work to be done is correct and a relief.