We're using AI more and more for hiring. How can we ensure it's fair?

It is important to consider how market incentives and governmental oversight affect algorithm development, because it is not obvious that best practices will otherwise prevail. In the absence of oversight or threat of litigation, there are good reasons to be skeptical that these employment models are typically rigorous in their approach to fairness. Most prominent of these reasons is that it is more expensive to take a thorough approach to fairness. It is time-consuming to task highly skilled data scientists and engineers with making robust and fair algorithmic processes, rather than building new features or delivering a model to a client. Further, it adds expense to collect more diverse and representative data to use in developing these models before deploying them.