Author: Kyle Polich, Scott Nestler
Publisher: Data Skeptic
Publication Year: 2018
Summary: In the following podcast episode, Kyle and Scott discuss that there is not currently a single, industry wide framework for ethics in data science as it is a new, growing field. Likewise, the topic of ethics in data science is also ever evolving. They compare the field to others, such as law and policy making as well as journalism to identify whether these should have a “do not do” approach as opposed to an aspirational “should do” perspective. One of the recommendations is to look closer at the INFORMS framework, which breaks down the topic into 3 categories: Society, organizations, and professions.
