Bias and Fairness in AI

Deepen your knowledge

Through practical exercises

Through practical exercises

Please note that this unit has been designed as a desktop version.
For the best learning experience, we recommend that you use a laptop or PC.
course description

Deepen your knowledge of the basics with practical exercises and increase your learning success!

In four free online courses, we have prepared the current state of research for you in a way that makes it as tangible and experiential as possible.

We hope you enjoy working through them.

Start course 1
basics

Please note that the exercises in each of the online courses are based on specific sections of the basics page of these learning learning unit. We therefore recommend that you work through the basics and the exercises in parallel.

Start with the basics!

Please note that the exercises in each of the online courses are based on specific sections of the basics page of these learning unit. We therefore recommend that you work through the basics and the exercises in parallel.

Ten exercises in four courses

Course 1: The concept of bias

The concept of bias

This course builds on the Bias Types section of the basics page. Use this course to deepen your knowledge of bias.
Start course 1

Course 2: The concept of fairness

The concept of fairness

This course builds on the Algorithmic Fairness section of the basic page. Use this course to deepen your knowledge of fairness.
Start course 2

Course 3: Bias in the real world

Bias in the real world

This course builds on the Bias & Fairness in the Real World section of the basics page. Use this course to check that you understand the concepts of bias and fairness and can apply them in the real world.
Start course 3

Course 4: Bias mitigation

Bias mitigation

This course builds on the Bias Mitigation section of the basic page. Use this course to deepen your knowledge of possible mitigation strategies.
Start course 4

Ready to go?

Start course 1