Fairness assessment and improvement in Python

There are few widely used Python libraries to assess fairness in your models (Table 7.3). You can use these libraries to identify if the model satisfies fairness definitions according to the different sensitive attributes in a dataset you want to or have used for modeling:

Library	Library Name for Importing and Installation	URL
IBM AI Fairness 360	aif360	https://pypi.org/project/aif360/
Fairlearn	fairlearn	https://pypi.org/project/fairlearn/
Black Box Auditing	BlackBoxAuditing	https://pypi.org/project/BlackBoxAuditing/
Aequitas	aequitas	https:/...