Last year, Amazon scrapped its machine-learning algorithm because it discovered it had a major problem--the artificial intelligence didn't like women. The machine-based learning tool was designed to analyze resumes and compare potential applicants to Amazon's current workforce. The algorithm was designed to take 100 resumes and filter out the top five applicants. The problem was that there is a pre-existing gender gap in software developer and other technical posts. Therefore, when the artificial intelligence tool analyzed the patterns in Amazon's hiring practices over the prior 10-year period, it taught itself to favor men over women.