Is machine learning sexist?

Yvonne Baur is the head of predictive analytics at SAP SuccessFactors. We've been hearing a lot about diversity and inclusion recently, and one of the areas that a lot of people are particularly interested in and excited about is applying machine learning to eliminate bias. Done right, this can be a huge boost supporting our efforts to go beyond bias across all areas of the organization. But there are potential pitfalls, as well; if not done right, machine learning can actually make your business more biased. Let's look at Google's word2vec, for example. Using a millions-large set of Google News data, Google researchers extracted patterns of words that are related to each other.