7
People-based ML Models: Algorithmic Fairness
7.1 Introduction
The churn use case from Chapter 6 is one example of how machine learning algorithms increasingly make decisions in place of humans. Marketing campaigns, insurance, credit cards, bank loans, news, and shopping recommendations, are all now allocated with these methods. Bestsellers like Cathy O'Neil's, Weapons of Math Destruction and relentless news coverage of tech company data mining, suggests these algorithms can bring as much peril as they do promise.1
Government is still unsure how to regulate private-sector algorithms - their inner-workings cast as intellectual property and closed off from public scrutiny. In the public-sector however, there ...
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