How to Fix Silicon Valley’s Sexist Algorithms

"But not everyone believes gender bias should be eliminated from the data sets. Arvind Narayanan, an assistant professor of computer science at Princeton, has also analyzed word embedding and found gender, racial, and other prejudices. But Narayanan cautions against removing bias automatically, arguing that it could skew a computer’s representation of the real world and make it less adept at making predictions or analyzing data.