A few years back, Amazon had to stop using their AI (Artificial Intelligence) recruitment tool because human bias bled into machine learning. As it turns out, Amazon's AI was more likely to pick men over women because they used resumes to teach their models; and most of the resumes they used were from men. This led to the AI filtering out resumes that mentioned women in any capacity, essentially eliminating women from the hiring pool, essentially sabotaging the entire point of the tool. There is a lesson to be learned from this: Machine learning can learn our own biases and apply it to the real world. Machine learning really is up-and-coming, and we are still learning about how we can teach these machines to replicate our own decisions.