Author: Harini Suresh
Publisher: Medium
Publication Year: 2019
Summary: In the following article, the author points out that language matters and that the right terminology forms a mental framework. The author also provides a framework for identifying the sources of harm within a machine learning pipeline. By identifying at what stage the bias is in the pipeline, better communication can ensue and the right resolutions to the issue can be identified.