Skip to main content
This is lesson 5 of 6 in this module Course 98% complete

Fairness in AI

Premium Content

Sign in with your account or sign up to access this lesson.

The lesson explains how to create AI models that generate fair predictions regardless of demographic groups, covering fairness concepts, evaluating model fairness with selection rate and prediction performance disparities, and mitigating unfairness through parity constraints on demographic, true positive rate, and error rate metrics.