Challenge: Fairness through Unawareness
Explore implementing fairness through unawareness by removing sensitive attributes such as gender from credit scoring models. Learn how this approach impacts model fairness, the potential for indirect bias through correlated features, and why more advanced fairness metrics and techniques are needed to address these challenges effectively.
We'll cover the following...
We'll cover the following...
Implementing fairness through unawareness
In this lesson, we will implement the simplest possible mitigation algorithm: fairness through unawareness. We found that the model can discriminate because of gender. Why don’t we remove this feature? If the model doesn’t know something, it cannot be unfair because of it. Right? Not quite. ...