AI Fairness 360 (AIF360) is an open-source Python toolkit developed by IBM for detecting, measuring, and mitigating bias in machine learning models. It enables developers and researchers to build fairer and more responsible AI systems by providing fairness metrics and bias mitigation algorithms across datasets and models.

Features of AI Fairness 360:

Provides a comprehensive set of fairness metrics to evaluate bias in datasets and ML models.
Includes algorithms for preprocessing, in-processing, and post-processing bias mitigation.
Supports integration with common Python ML frameworks such as scikit-learn, TensorFlow, and PyTorch.
Offers ready-to-use datasets and examples for testing fairness interventions.
Open-source and widely used in AI research, industry, and responsible AI initiatives.

To check the installed version of AIF360 in your environment:


$ sudo su
$ sudo apt update
$ source /opt/aif360_env/bin/activate
$ python -c "import aif360; print('AIF360 Installed Successfully:', aif360.__version__)"

Disclaimer: AI Fairness 360 is developed and maintained by IBM. It provides general-purpose fairness metrics and algorithms, but fairness depends on proper application and domain-specific considerations. Always refer to official documentation or the Python package repository for the most accurate and up-to-date information.

AI Fairness 360bCloud LLC

AI Fairness 360

bCloud LLC

AI Fairness 360

bCloud LLC

AI Fairness 360
bCloud LLC