Author: Maximilian GAHNTZ
Publisher: Medium
Publication Year: 2018
Summary: The following article discusses how a lot of automated programs require a large of amount of workers doing blue collar work such as data entry in order to function properly. In the past, underpaid women worked as “computers” doing calculations. In order for algorithms such as machine learning (ML) to properly learn and identify targets. They need clean and curated datasets, these datasets are often produced by low wage outsourced workers who’s job it is to label the data. There is a call to action for governments, tech companies and consumers to ensure that those whose job it is to label data have secure well paying jobs.