Companies like Netflix and Hulu compete for subscribers to make sure their businesses thrive. But there’s another type of competition at work that receives far less attention – the competition among the machine learning algorithms used by these kinds of competitor companies. James Zou , Stanford assistant professor of biomedical data science and an affiliated faculty member of the Stanford Institute for Human-Centered Artificial Intelligence , says that as algorithms compete for clicks and the associated user data, they become more specialized for subpopulations that gravitate to their sites. And that, he finds in a new paper with graduate student Antonio Ginart and undergraduate Eva Zhang , can have serious implications for both companies and consumers. Perhaps consumers don’t mind if Hulu recommendations seem intended for urban teenagers or Netflix offers better choices for middle-aged rural men, but when it comes to predicting who should re...