Chapter 7

Considering the Ethical Aspects of Data Science


Bullet Walking through ethical considerations related to using artificial intelligence

Bullet Managing various aspects of responsible artificial intelligence

Bullet Designing your artificial intelligence approach with ethics in mind

According to Gartner’s CIO Agenda Survey from 2018, 85% of AI projects through 2020 will deliver erroneous outcomes due to bias in data, algorithms, or development teams. This is serious figure that must be addressed. Think about it: if more and more companies and organizations are becoming data and AI-driven as well as automating their operations based on artificial intelligence technologies that cannot be trusted, that means there's trouble on the horizon is — not only for the evolution of AI, but for society as a whole.

In this context, addressing the ethical aspects of artificial intelligence is fundamental and will be my focus in this chapter. But I also want to make clear that you shouldn't start thinking about ethics only when you get around to implementing your data science strategy. An ethical perspective is, in fact, hugely important to consider from the start — that is to say, from the ...

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