It’s a systemic problem, and culture has a lot to do with it. As the Bloomberg piece noted, one of the big issues within machine learning and artificial intelligence is rooted in the data sets. Computers learn when they are fed data that reflects the world around them. Given the preponderance of men in the industry, they are the ones determining the information in the datasets that the computers are analyzing. This could give rise to intelligent machines that are inherently biased toward the questions prepared by male researchers.