Problem: Using the Amazon Hiring Algorithm story from 2018 as your starting point, Need an analysis that explores Amazon's use of historical data on hiring to attempt improvements for their talent acquisition process. Please, address possible pitfalls of using historical data to create business efficiencies. How and when should historical data be used or not? How could researchers or analysts detect, assess, and mitigate bias when creating an analytical process similar to Amazon's hiring algorithm?
Also provide References links which you have used in making this