TLDR: It's easier to remove gender biases from machine learning algorithms than from people. In a recent paper, Saligrama, Bolukbasi, Chang, Zou, and I stumbled across some good and bad news about Word Embeddings. Word Embeddings are a wildly popular tool of the trade among AI researchers. They can be used to solve analogy puzzles. For instance, for …
Continue reading How machine learning can amplify or remove gender stereotypes