Author: Goldie Chan
Publisher: Forbes
Publication Year: 2022
Summary: The following article is an interview with Nicole Solis-Sison who is a director and producer. In her work, she emphasizes the need for cultural equity, diversity, and sustainability, and makes an effort to educate those around her on how to make the stories they are telling more ethical. While her industry might not be directly related to data science, this article around ethical storytelling also applies to data scientists. The points she makes in the interview around rules or guidelines for ethical storytelling specifically stick out as rules that are applicable to any industry. Some of these rules include to tell only the stories you are best suited to tell, speaking from the truth, and not to use data in a way to exaggerate or fragment parts of a story that you would like to emphasize. Another one of her rules is to protect the identity of those involved in a story, and to be transparent with the story itself. All of these are important aspects to consider as a data scientist.
