Author: Vidhi Chugh
Publisher: Medium
Publication Year: 2021
Summary: The following article describes how as a data scientist, if you want the product you are working on to be “[artificial intelligence (AI)] for good,” then it is inevitable to encounter some situations such as biased data, biased models, or biased implementation. This article illustrated forms of what data bias can be and there is no one solution for all. But the article mentions that there are some important aspects we can do to build the “AI for good” ecosystem.