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_15

15. How to Detect Algorithmic Biases

Tobias Baer¹ 

(1)

Kaufbeuren, Germany

 

In the previous chapter, I indicated that monitoring plays a central role in managing algorithms. This is surprisingly tricky. As Ron DeLegge II put it nicely, “99 percent of all statistics only tell 49 percent of the story.”¹ As a result, a lot of rubbish is said and done because of meaningless numbers showing up in some report. Even if no bad intentions are involved, a poorly calculated or interpreted number can seriously mislead you. This chapter is a comprehensive review of how best to monitor algorithms for biases from a user’s perspective.

I have tried ...