There are successful companies which can automatically decide your credit worthiness based on your Facebook friends, the zip code on your application, and aspects of your web browsing behavior. There are financial incentives to using such information at an individual level, but often the social implications are not fully considered. Explicitly using information such as race would clearly be illegal, but an inference of race using other information is a trivial exercise, and is often done implicitly in many self-learning algorithms analyzing individual behavior. From this book you will learn the "Big Data" tools companies exploit to make life-altering judgements that affect where you live, what school you can get into, and what jobs are available to you - automated decision making that, in many cases, is more prone to unfairly disadvantage people than an individual person's judgement. This book also covers how data science can be used to combat such unfairly discriminatory analytics, including the technical knowledge needed to craft legislation to address what is, in effect, automated discrimination.
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