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Data Science: Mindset, Methodologies, and Misconceptions by Zacharias Voulgaris PhD

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Chapter 13 Data Science Ethics

We saw in the previous chapter that AI can facilitate the data science process by a great deal of automating. However, even if some parts of the pipeline become automated, certain aspects of data science will remain untouched. They cannot be fully automated due to their non-mechanical nature. Ethics is one part of the process that is currently beyond automation.

In this chapter, we will examine various aspects of data science ethics, such as why it is important, the role of confidentiality (mainly privacy, data anonymization, and data security), as well as licensing matters. Using ethics in our practices elevate the role of the data scientist and enables us to offer something more than interesting insights and ...

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