In the first two parts of this book, you learned that the mechanics of algorithms expose them to many potential sources of bias, that biases are real and at times exceedingly harmful, and that algorithmic biases very often originate in real-world biases.
This part of the book will discuss how users of algorithms (e.g., business leaders and government officials)—as well as others who need to make decisions about the use of algorithms, such as compliance officers and regulators—can detect, deal with, and prevent algorithmic bias. As you will see, the tools and ...
