Understand, Manage, and Prevent Algorithmic Bias: A Guide for Business Users and Data Scientists

© Tobias Baer 2019

Tobias BaerUnderstand, Manage, and Prevent Algorithmic Biashttps://doi.org/10.1007/978-1-4842-4885-0_19

19. An X-Ray Exam of Your Data

Tobias Baer¹ 

(1)

Kaufbeuren, Germany

 

In this chapter, we will dive into the question of how you can detect seeds for algorithmic biases in your data. As must have become clear from the previous chapters, we are chasing many different foes; therefore, we need to scan our data for many different types of potential issues, just as an annual health check might include a dozen procedures to check blood, urine, and various organs. With the recommendations in this chapter, my goal is to give you “a thousand eyes and a thousand ears” in six fairly easy and efficient steps. These analyses will create a set ...