Incorporate Inclusivity – Data Science Ethics Podcast

Author: Marie Weber, Lexy Kassan

Publisher: Data Science Ethics

Publication Year: 2020

Summary: The following podcast episode discusses making sure that minorities are represented in the process of both building and testing especially if the results will be impacting those groups. They also suggested incorporating people from other departments across the business to bring in new and alternative ideas and test your work against potentially inappropriate use. She suggested giving vague information about your project to screen your project for potential pitfalls by letting people outside your department give feedback on it. Fairly generic information can gather loads of feedback for you to gather the broader view about the issue and ensure that those ethical guard rails can be kept in place. Doing this helps you defend your decisions better.