Author: Christopher Tozzi
Publisher: ITPro Today
Publication Year: 2022
Summary: The following article discusses how businesses have started putting more of an “inclusive” focus on machine learning models to avoid bias and error while creating models. The article shares several benefits to an inclusive approach. These include reaching more users, having happier users, less complaints, less support requests, and lower risk of inaccuracy. It breaks down being inclusive into two components: fair algorithm and fair training data. It also emphasizes that there currently is no software to make sure a model is inclusive; it requires intentional decision-making and an honest thought process.
